Jobs

We are a Ukrainian multiproduct company that creates database development and management tools, connectivity solutions, productivity tools, and data services for more than 500.000 clients from 120 countries. Among our clients, you can find such legends as Microsoft Corporation, Oracle America, IBM, Intel, and many more companies that deserve their place in the Fortune 100 and Fortune 500.

Since 1997, we have been streamlining data workflows for professionals and teams with our intuitive and efficient software products. We’re committed to enhancing our customers’ experience across the globe by minimizing data-related tasks and enabling them to focus on more inspiring goals. Whether it’s Fortune-100 companies or individuals, we provide a customer-centric approach, delivering high-quality solutions and exceptional support.

Driven by passion, we play a substantial role in shaping the future of data management.

Product that needs your engagement 

You will be at the heart of building a new generation web-based application fully powered by AI technologies. This product is envisioned as a cutting-edge tool that redefines how professionals interact with complex data and workflows. We’re not just adding AI features into an existing app — we are designing an AI-first experience from the ground up, where automation, personalization, and intelligence are embedded in every interaction. The application will combine scalability, intuitive UX, and deep AI integration to create a solution that is both technically robust and delightful to use.

Your future team of professionals 

You will join an ambitious and growing team that values collaboration, ownership, and thoughtful engineering. You will work closely with Backend and Frontend Engineers, a Product Manager, and a QA Engineer, contributing to the development of the product and helping shape its technical direction as the team continues to grow.
 

Your future challenges & opportunities

Opportunities

• Direct involvement in the launch of a new product, with real impact on architecture and technical decisions.
• Hands-on experience building DWH integrations and MCP-based AI pipelines — one of the most in-demand skill sets in 2026.
• Work at the intersection of backend engineering and AI, expanding expertise beyond traditional .NET development.
• Opportunity to define integration patterns and technical standards from the ground up, rather than maintaining legacy code.

• Exposure to the full product lifecycle: from data modeling and API design to production deployment and optimization.

   

Challenges

• Proactively learn and adopt MCP, a recently introduced standard, keeping pace with a fast-evolving ecosystem.
• Design and implement DWH integrations with careful data modeling and schema planning — early mistakes can be costly.
• Balance product launch deadlines with the need to maintain clean, scalable, and maintainable architecture under pressure.
• Work across multiple technical domains simultaneously: data pipelines, API development, and AI tool integration.

• Validate and responsibly apply AI-assisted development tools, avoiding over-reliance on generated output.

   

Impact you will make 

• Design, build, and maintain scalable back-end services and APIs using C# and the .NET ecosystem, ensuring high performance, reliability, and maintainability.
• Ensure security, performance, and reliability across server-side components by applying SOLID principles, established design patterns, and back-end best practices.
• Write clean, testable, and well-documented code that meets team coding standards and supports efficient code reviews.
• Collaborate closely with front-end developers to design and integrate RESTful or GraphQL APIs that power seamless user experiences.
• Participate in code reviews and contribute to the continuous improvement of team engineering practices and standards.
• Optimize application performance, database queries, and system throughput to handle high-load environments efficiently.

• Conduct thorough testing and debugging to deliver high-quality, production-ready software.

   

Skills we are looking for 

• At least 5 years of experience as a .NET Developer (ASP.NET Core, Entity Framework Core), preferably in a tech-focused environment.
• Higher education in Computer Science, Information Technology, or a related field (relevant certifications are a plus).
• Deep understanding of software principles: SOLID, IoC, OOP, design patterns, and client/server architecture.
• Experience designing and building RESTful APIs and microservices.
• Experience with version control using Git and collaborative workflows (branching, pull requests, reviews).
• Familiarity with authentication concepts and secure application development (OAuth2, JWT).
• Experience with relational databases and ORM tools (SQL Server, PostgreSQL, Entity Framework Core).
• Experience with testing frameworks (xUnit, NUnit, Moq).
• Knowledge of Docker/docker-compose and basic CI/CD processes.
• Performance optimization skills: profiling .NET applications, identifying bottlenecks, and improving throughput.
• Ability to effectively use AI-assisted development tools (GitHub Copilot, ChatGPT, etc.), understand their limitations, and responsibly apply them in the development workflow.

Benefits you get

• Maintain your work-life balance

Manage your own working hours with our flexible schedule

19 days of annual vacation granted on a pro-rata basis

No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing the world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you believe your skills could benefit a different role or team.

• Stand with Ukraine!

We have an active pro-Ukrainian position, and that means we help our army, our servicemen, and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

Our Hiring Process

• Recruitment Interview
• Technical Interview
• Offer Call

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted.

The timeframe for feedback between interview stages may take up to 2 weeks.

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities:

-Wave planning — plan migration waves based on system dependencies and priorities
-Complexity assessment — evaluate complexity of each workload/job prior to migration
-Workload analysis — analyze existing batch processes, their dependencies, schedules, and SLAs
-Orchestration migration strategy — design the strategy for migrating from Control-M to AWS Step Functions (job mapping, dependencies, triggers)
-Cutover runbook — develop detailed cutover runbooks (steps, rollback points, success criteria)
-Pod coordination — coordinate across multiple teams/pods involved in the migration
-Release governance — manage release processes, ensuring quality and compliance with standards prior to deployment

Mandatory Skills Description:

- Large-scale migration experience — proven track record on enterprise-scale migration projects
- Wave planning — hands-on experience planning waves in multi-system migrations
- Control-M — deep knowledge of Control-M (jobs, schedules, dependencies, calendars)
- AWS Step Functions — hands-on experience designing and building workflows in Step Functions
- Risk assessment — experience identifying and mitigating risks in migration projects
- Data reconciliation — experience validating data/results post-migration (before/after comparison)
- Release management — experience managing releases in an enterprise environment

Nice-to-Have Skills Description:

- Experience with other orchestration tools (Airflow, AWS Glue Workflows)
- AWS certification (Solutions Architect / DevOps Engineer)
- Knowledge of AWS Lambda, EventBridge (commonly used- alongside Step Functions)
- Experience in financial domain

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities:

- Design, build, and maintain ETL/ELT pipelines on AWS
- Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
- Develop and optimize data models for data warehouse/data lake (Redshift, S3)
- Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
- Implement data quality checks, validation, and reconciliation processes
- Optimize pipeline performance and manage compute/storage costs
- Ensure data security and access control (IAM, KMS, encryption)
- Monitor and troubleshoot pipeline failures (CloudWatch, logging)
- Collaborate with data analysts, BI developers, and architects on data requirements
- Document data pipelines, architecture, and operational runbooks

Mandatory Skills Description:

- 5+ years of experience
- Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
- Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
- Proficiency in Python or Scala for data engineering
- Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
- Experience migrating data pipelines from on-prem or other cloud platforms
- Understanding of data governance, security, and access control on AWS
- Experience with CI/CD for data pipelines

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Data Engineer Associate)
- Experience with streaming data (Kinesis, MSK/Kafka)
- Familiarity with Infrastructure as Code (Terraform/CloudFormation)
- Experience with orchestration tools (Airflow, dbt)
- Experience in financial domain

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
  This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

   

• Responsibilities:

  - Agentic AI Migration Framework development — design and build an agentic AI framework to automate and accelerate migration workflowsж
  - Pattern library build — develop and maintain a library of reusable migration patterns/templates for common conversion scenarios;
  -Automated conversion pipeline — build pipelines that automatically convert/transform code and configurations (e.g., Matillion jobs) as part of the migration process;
  -GitHub Copilot integration for code generation — integrate GitHub Copilot into the migration workflow to accelerate code generation and conversion tasks;
  -Support factory pods — provide technical support, tooling, and troubleshooting to migration factory pods executing migrations at scale

   

• Mandatory Skills Description:

  - 2 month project with posibility of extentention

  - Python — strong hands-on Python development experience for building tools and automation
  - GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling
  - Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools
  - AWS Bedrock — hands-on experience with AWS Bedrock for building GenAI-powered applications
  - GitHub Copilot — practical experience using and/or integrating GitHub Copilot into development workflows
  - Automation frameworks — experience designing and building automation frameworks/tooling from scratch
  - Testing — strong experience with test automation and validation frameworks to ensure conversion accuracy
  - Matillion JSON parsing — experience parsing, interpreting, and transforming Matillion job definitions (JSON format)

   

• Nice-to-Have Skills Description:

  Experience in financial domain

   

• Languages:
  • English: C2 Proficient

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities:

- Agentic AI Migration Framework development — design and build an agentic AI framework to automate and accelerate migration workflowsж
- Pattern library build — develop and maintain a library of reusable migration patterns/templates for common conversion scenarios;
-Automated conversion pipeline — build pipelines that automatically convert/transform code and configurations (e.g., Matillion jobs) as part of the migration process;
-GitHub Copilot integration for code generation — integrate GitHub Copilot into the migration workflow to accelerate code generation and conversion tasks;
-Support factory pods — provide technical support, tooling, and troubleshooting to migration factory pods executing migrations at scale

Mandatory Skills Description:

- Python — strong hands-on Python development experience for building tools and automation
- GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling
- Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools
- AWS Bedrock — hands-on experience with AWS Bedrock for building GenAI-powered applications
- GitHub Copilot — practical experience using and/or integrating GitHub Copilot into development workflows
- Automation frameworks — experience designing and building automation frameworks/tooling from scratch
- Testing — strong experience with test automation and validation frameworks to ensure conversion accuracy
- Matillion JSON parsing — experience parsing, interpreting, and transforming Matillion job definitions (JSON format)

Nice-to-Have Skills Description:

Experience in financial domain

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Design, build, and maintain ETL/ELT pipelines on AWS
  - Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
  - Develop and optimize data models for data warehouse/data lake (Redshift, S3)
  - Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
  - Implement data quality checks, validation, and reconciliation processes
  - Optimize pipeline performance and manage compute/storage costs
  - Ensure data security and access control (IAM, KMS, encryption)
  - Monitor and troubleshoot pipeline failures (CloudWatch, logging)
  - Collaborate with data analysts, BI developers, and architects on data requirements
  - Document data pipelines, architecture, and operational runbooks

   

• Mandatory Skills Description:

  - 5+ years of experience

  - 2 month project with posibility of extentention
  - Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
  - Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
  - Proficiency in Python or Scala for data engineering
  - Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
  - Experience migrating data pipelines from on-prem or other cloud platforms
  - Understanding of data governance, security, and access control on AWS
  - Experience with CI/CD for data pipelines

   

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Data Engineer Associate)
  - Experience with streaming data (Kinesis, MSK/Kafka)
  - Familiarity with Infrastructure as Code (Terraform/CloudFormation)
  - Experience with orchestration tools (Airflow, dbt)
  - Experience in financial domain

• Languages:
  • English: C2 Proficient

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities:

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
Pattern definition — define reusable architecture and migration patterns for use across teams/pods
-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Mandatory Skills Description:

- 5+ years experience
- hands-on experince with AWS Migration
- AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
- IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
- Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
- PySpark — hands-on experience with PySpark for large-scale data processing
- CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
- AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
- GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Solutions Architect)
- Experience with BI tools (QuickSight, Tableau, Power BI)
- Infrastructure as Code experience (Terraform/CloudFormation)
- Industry experience relevant to your business
- Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
- experince in financial domain

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
  This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Design, build, and maintain ETL/ELT pipelines on AWS
  - Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
  - Develop and optimize data models for data warehouse/data lake (Redshift, S3)
  - Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
  - Implement data quality checks, validation, and reconciliation processes
  - Optimize pipeline performance and manage compute/storage costs
  - Ensure data security and access control (IAM, KMS, encryption)
  - Monitor and troubleshoot pipeline failures (CloudWatch, logging)
  - Collaborate with data analysts, BI developers, and architects on data requirements
  - Document data pipelines, architecture, and operational runbooks

• Mandatory Skills Description:

  - 5+ years of experience
  - Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
  - Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
  - Proficiency in Python or Scala for data engineering
  - Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
  - Experience migrating data pipelines from on-prem or other cloud platforms
  - Understanding of data governance, security, and access control on AWS
  - Experience with CI/CD for data pipelines

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Data Engineer Associate)
  - Experience with streaming data (Kinesis, MSK/Kafka)
  - Familiarity with Infrastructure as Code (Terraform/CloudFormation)
  - Experience with orchestration tools (Airflow, dbt)
  - Experience in financial domain

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Agentic AI Migration Framework development — design and build an agentic AI framework to automate and accelerate migration workflowsж
  - Pattern library build — develop and maintain a library of reusable migration patterns/templates for common conversion scenarios;
  -Automated conversion pipeline — build pipelines that automatically convert/transform code and configurations (e.g., Matillion jobs) as part of the migration process;
  -GitHub Copilot integration for code generation — integrate GitHub Copilot into the migration workflow to accelerate code generation and conversion tasks;
  -Support factory pods — provide technical support, tooling, and troubleshooting to migration factory pods executing migrations at scale

• Mandatory Skills Description:

  - Python — strong hands-on Python development experience for building tools and automation
  - GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling
  - Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools
  - AWS Bedrock — hands-on experience with AWS Bedrock for building GenAI-powered applications
  - GitHub Copilot — practical experience using and/or integrating GitHub Copilot into development workflows
  - Automation frameworks — experience designing and building automation frameworks/tooling from scratch
  - Testing — strong experience with test automation and validation frameworks to ensure conversion accuracy
  - Matillion JSON parsing — experience parsing, interpreting, and transforming Matillion job definitions (JSON format)

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

• Responsibilities:

  -Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
  -HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
  -ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
  -Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
  Pattern definition — define reusable architecture and migration patterns for use across teams/pods
  -Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

• Mandatory Skills Description:

  - 5+ years experience
  - hands-on experince with AWS Migration
  - AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
  - IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
  - Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
  - PySpark — hands-on experience with PySpark for large-scale data processing
  - CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
  - AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
  - GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Solutions Architect)
  - Experience with BI tools (QuickSight, Tableau, Power BI)
  - Infrastructure as Code experience (Terraform/CloudFormation)
  - Industry experience relevant to your business
  - Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
  - experince in financial domain

Performa is an international HR agency connecting top talent with ambitious companies across iGaming, IT, and Marketing. We help businesses build strong teams and professionals find opportunities where their expertise can make a real impact.
 

For our client, we are looking for an experienced Marketing Manager (iGaming) to join a new online crypto casino project in Dubai, launched as a spin-off from a large international online casino brand.

This is an early-stage opportunity for a hands-on marketing professional who wants to take an active role in building and developing the marketing function of a growing iGaming product. You will work across the full marketing cycle — from player acquisition, affiliates, CRM and retention to promotions, content, social and community channels, campaign analytics and reporting — while coordinating internal teams, agencies, and external partners.
 

The role offers broad exposure across casino and sportsbook marketing, the opportunity to directly influence campaign execution and player growth, and room to develop into a channel lead role as the business scales.

     Responsibilities
 

     Marketing Planning and Campaign Delivery
 

• Maintain the integrated marketing calendar and execute approved plans across casino, sportsbook, target GEOs and player-lifecycle stages.
• Translate commercial objectives into clear briefs, timelines, owners, assets, landing pages, tracking requirements, approvals and post-campaign reviews.
• Coordinate marketing readiness for brand, market, product, game and promotion launches with Casino/Sportsbook, CRM, Operations, Risk, Legal & Compliance and IT Department.
• Manage day-to-day delivery by agencies, freelancers and marketing vendors, tracking deliverables, costs and required documentation.
   

     Acquisition, Affiliates and Partnerships
 

• Support player acquisition across affiliates, paid media, SEO/content, influencers and streamers, social and community channels and relevant crypto-native networks.
• Source, onboard and coordinate affiliates, creators and media partners, including briefs, approved commercial terms, tracking links, promo codes, creatives and launch support.
• Monitor channel, campaign and partner performance; identify opportunities to scale, optimise or stop activity based on player quality and unit economics.
• Work with Risk to identify suspicious, incentivised or low-quality traffic and with Legal & Compliance to enforce brand, advertising and responsible-gambling requirements.
  
  CRM, Promotions and Player Lifecycle
   
• Coordinate segmented campaigns and automated journeys across onboarding, activation, retention, reactivation and loyalty using email, push, SMS and onsite/in-app channels.
• Maintain the casino and sportsbook promotion calendar, coordinating welcome offers, reloads, cashback, free spins, tournaments, major events and reactivation campaigns.
• Ensure offers, eligibility rules, limits, terms and conditions, consent and suppression rules receive all required commercial, Risk and Legal & Compliance approvals before launch.
• Run structured A/B tests across audiences, offers, messages, creatives, channels, timing and landing pages, and apply learnings to future campaigns.
  
  Analytics, Governance and Cross-functional Improvement
   
• Produce concise weekly and monthly reporting covering FTDs, conversion, CPA/CAC, ROAS, NGR contribution, LTV, retention, bonus cost, traffic quality and channel profitability.
• Track marketing spend against approved budgets, validate vendor and partner performance and reconcile cost reporting with Finance; escalate variances promptly.
• Maintain auditable campaign approvals and ensure no activity launches without required GEO, advertising, data-privacy, responsible-gambling and promotional clearances.
• Work with Payments, Operations and Customer Support to identify and reduce friction across registration, deposit, gameplay, promotion and retention journeys.
  
  Brand, Content and Community
   
• Apply the approved brand positioning, tone of voice and visual standards consistently across player touchpoints.
• Coordinate content and creative production for websites, landing pages, social media, communities, CRM, affiliate materials and promotional placements, including localization and quality assurance. 
• Support day-to-day community presence and campaign activation across relevant platforms and streaming channels. 
• Monitor competitors, market trends, player sentiment and cultural nuances across priority GEOs and convert observations into actionable campaign recommendations.
  
  Requirements
   
• 5+ years of hands-on digital marketing experience, including practical experience in iGaming, online casino, sportsbook or betting.
• Demonstrated delivery across at least two core channels - performance acquisition, affiliates, CRM/retention, content/SEO, social/community or influencer marketing - with working knowledge of the others.
• Strong understanding of the iGaming player funnel, including registration, FTD, deposits, conversion, retention, reactivation, bonuses and player value.
• Working knowledge of affiliate commercial models (CPA, RevShare and Hybrid), tracking links, postbacks, promo codes and traffic-quality considerations.
• Experience coordinating campaign briefs, creative production, localisation, landing pages, approvals, launch QA and external partners. 
• Data-driven approach and confidence working with GA4 or comparable analytics, dashboards, attribution data and marketing unit economics. 
• Good understanding of responsible-gambling, advertising, promotional and data-privacy controls applicable to player marketing.
• Strong project-management and stakeholder-management skills, attention to detail and fluent written and spoken English.
  
  Preferred Qualifications
   
• Experience with a crypto casino or sportsbook.
• Familiarity with CRM, affiliate, CMS, SEO, tag-management and BI tools relevant to iGaming.
• Experience supporting new-brand or multi-GEO launches in regulated or high-risk digital environments.
   

     We Offer
 

• On-site work in Dubai, UAE.
• Relocation support where needed.
• A hands-on role supporting the full marketing function of an early-stage online crypto casino and sportsbook, with broad channel exposure, room to grow into a channel lead role.
• A competitive compensation package (discussed individually).

We are hiring on behalf of our client – an American media company. They run a large newsletter operation sending millions of emails a day to cold audiences across finance, health, self-development, and astrology. As the team scales, execution is starting to outpace process – this role exists to fix that.

Marketing Operations Manager sits between strategy and execution. You take initiatives across newsletters, paid media, social, and growth from brief to done — owning timelines, owners, and dependencies across parallel workstreams.
 

You work closely with the email team on newsletter growth and engagement, and you're the first review layer on quality before anything ships. You build the trackers, cadences, and SOPs that keep the team moving without you having to chase people.
 

This is not a people-management role on day one – it's a coordination and execution role that's built to grow into team leadership as the marketing function scales. Success looks like: initiatives hit their deadlines, and newsletter performance keeps moving up.
 

What you will own

• End-to-end execution of marketing initiatives across newsletters, paid, social, and growth
• Newsletter performance tracking and early flagging of issues, in partnership with the email team
• Trackers, cadences, and SOPs for the whole team
• First-pass quality review before work moves forward
• Team check-ins and problem-solving reviews
• AI tooling adoption across the team
   

Must-have

• 5+ years in project management, running marketing initiatives specifically
• Real marketing fluency – newsletters, paid, social, growth, not just PM theory
• Track record managing several marketing workstreams at once without quality slipping
• Experience building and rolling out PM processes and SOPs for a team
• Daily hands-on AI tool use – you can describe exactly how, this is a hard requirement
• Strong root-cause problem-solving and structured communication
• Ownership mindset – you unblock things yourself, no hand-holding
• C1+ written and spoken English
• Ready to grow into a leadership role as the team scales
   

Nice to have

• Background in newsletter, media, affiliate, or performance marketing
• Hands-on campaign experience, not just managing people who ran campaigns
• Make, Zapier, or similar automation tools
• Notion, ClickUp, Asana, or Airtable
• Experience with email platforms or audience growth metrics
• Experience working with designers, writers, or QA teams
   

Compensation and benefits

• Competitive salary + bonuses
• 21 paid vacation days, 14 paid sick days
• Remote-first team
• Corporate library, team activities

Job Description
Extensive software development experience, including experience working on complex backend or data infrastructure projects.
Strong hands-on experience with Scala.

Experience with Apache Iceberg or similar table formats and data lake technologies.

Hands-on experience developing backend services, data-processing engines, infrastructure components.
Programming experience in C /or C++ is highly desirable / preferred, the role is primarily focused on backend/system-level engineering rather than full-stack application development.
Deep understanding of distributed systems, data processing, storage engines, or data infrastructure.

Strong knowledge of data consistency, transactions, schema evolution, partitioning, compaction, and performance optimization.

Proven ability to troubleshoot complex production and customer issues.

Strong ownership mindset and the ability to operate effectively in areas with limited documentation or historical knowledge.

Excellent communication and collaboration skills.

Preferred Qualifications: 
Big Data Frameworks: Hands-on experience with distributed data-processing technologies such as Apache Spark, Flink, Trino, or Presto.
Cloud Object Storage: Experience working with cloud storage platforms, including Amazon S3, Google Cloud Storage (GCS), or Azure Data Lake Storage (ADLS).
Legacy Modernization: Proven track record of modernizing or gradually improving a mature codebase without disrupting existing customers.
Job Responsibilities
Architect & Build: Lead the architecture, design, and implementation of highly scalable, complex backend systems and robust data infrastructure using Scala.
Data Lake Engineering: Design and manage enterprise-grade data lake solutions leveraging Apache Iceberg or equivalent table formats, ensuring optimal data consistency, transactions, schema evolution, partitioning, and compaction.
Performance Optimization: Maximize system throughput, minimize latency, and optimize resource utilization across large-scale distributed data processing systems.
Production Excellence: Systematically diagnose, troubleshoot, and resolve complex, high-impact production and customer-facing infrastructure issues.
Codebase Modernization: Champion the gradual improvement and modernization of a mature, production-critical codebase without causing disruption to active customers or services.
Technical Leadership & Collaboration: Act as a technical authority, fostering strong communication and collaboration across engineering teams to align on technical objectives.
Navigate Ambiguity: Exercise a strong ownership mindset to operate effectively and deliver high-quality outcomes in areas with limited documentation or historical knowledge.
Department/Project Description
We are seeking an expert Scala Engineer to design, optimize, and scale our next-generation multi-cloud data lake house architecture across AWS and Azure. The ideal candidate is a backend/system engineer with strong experience building engines, infrastructure, or high-performance backend components. In this role, you will leverage Qlik Open Lakehouse (integrated with Qlik Talend Cloud) to establish a low-overhead, high-throughput data foundation. You will manage automated data ingestion, implement continuous table optimization, handle cross-cloud data mirroring, and ensure seamless multi-engine access without vendor lock-in.

Location: Remote (Ukraine / worldwide)
Company: Claspo — Ukrainian MarTech SaaS
Reports to: CEO
Growth target: $70K MRR

ABOUT CLASPO

Claspo is a pop-up builder that helps e-commerce and growth teams turn existing site traffic into more opt-ins, sales, and revenue.

We are a Ukrainian MarTech SaaS operating globally since 2022. Our users get better results thanks to a library of 1,000+ CRO-ready templates, gamified widgets (spin wheels, scratch cards, gift boxes), smart targeting, and native Shopify integrations — including dynamic, single-use promo codes.

Our priority market is Shopify DTC brands with 50K—1M monthly visitors. We compete in a crowded pop-up/CRO space (OptiMonk, Wisepops, Privy, and others) and win on gamification depth, design quality, and conversion outcomes.

Learn more: claspo.io

WHY THIS ROLE MATTERS NOW

This is a pivotal moment to join Claspo. We have product-market fit, an established marketing team, and a clear growth target: scaling MRR to $70K.

You will own the full marketing strategy and execution — not as a distant strategist, but as a hands-on leader who builds systems, holds the team accountable, and drives measurable revenue growth.

You’ll inherit active acquisition channels, an established marketing team, and a product with paying customers worldwide. The challenge is not to start from zero, but to build a scalable growth system.

WHAT YOU WILL OWN

Revenue growth

• Define and deliver the path to $70K MRR
• Own contribution to pipeline, trials, activations, and paid conversions
• Model, forecast, and optimize the full marketing funnel — from awareness to revenue
• Continuously reduce CAC while improving conversion across the funnel

Channel strategy and execution

You will lead and optimize our current growth channels:

• Brand — Reddit, LinkedIn, Shopify/Klaviyo communities. Build visibility, trust, and brand-led demand.
• Partnerships — Agencies, affiliates, media partners. Scalable co-marketing and referral revenue.
• Marketplaces — Shopify App Store and other distribution platforms.
• SEO — Organic acquisition, content, and LLM/AI visibility.
• PPC — Paid search and performance campaigns with clear ROI.

You will scale what works, stop what doesn’t, and test new channels when the data supports it.

Brand among Shopify merchants

• Make Claspo a recognized, trusted brand in the Shopify ecosystem
• Build presence where merchants actually ask for recommendations — Reddit threads, community forums, partner channels, and review sites
• Turn brand visibility into measurable engagement: signups, trials, and marketplace installs

Team leadership and operations

• Lead the marketing team to hit both growth and operational targets
• Set clear KPIs, run weekly/monthly/quarterly reporting for the executive team
• Build processes so the team executes consistently — not heroically
• Hire, develop, and retain high-performing marketers as we scale
• Manage marketing budget with full transparency and accountability

Cross-functional growth

• Work directly with the Founder, Product team, Sales, and Customer Success to influence both go-to-market strategy and product direction
• Optimize website, landing pages, and conversion paths (CR, messaging, UX)
• Align marketing with the product roadmap and contribute to product growth initiatives

WHAT WE’RE LOOKING FOR

Must have:

• 5+ years in marketing, including 3+ years in a leadership role (Head of Marketing, VP Marketing, or CMO)
• Proven track record of scaling ARR/MRR in B2B SaaS — ideally MarTech, ecommerce tools, or CRO products
• Hands-on experience with our core channels: SEO, PPC, partnerships, community/brand marketing, and app marketplaces
• Exceptional data and analytics skills — funnel modeling, attribution, dashboards, and ROI reporting
• Experience building and leading teams that deliver on measurable targets
• Excellent English (C1+) — you will write, present, and communicate with a global audience daily
• Comfort in a fast-paced, ambiguous scale-up environment — pragmatic, direct, low bureaucracy
• Strong experience using AI tools to improve productivity, experimentation, analytics, content, and marketing operations

Strong plus:

• Experience growing a brand through Reddit, LinkedIn, and community-led marketing
• Strong Shopify ecosystem knowledge — how merchants discover, evaluate, and buy apps
• Background in pop-up/CRO, email marketing, or ecommerce retention tools
• Experience with agency and affiliate partnership programs
• Shopify App Store optimization and marketplace growth
• SQL, Looker/Data Studio, or similar analytics tooling
• Understanding of LLM/AI search visibility and modern SEO beyond traditional rankings

WHAT SUCCESS LOOKS LIKE IN 12 MONTHS

• MRR trajectory clearly on path to $70K
• Marketing team consistently hits quarterly KPIs
• Claspo is mentioned and recommended in the target Shopify/ecommerce communities
• Channel mix is optimized — each channel has a clear ROI and owner
• The executive team has transparent, reliable marketing reporting
• Strong brand recognition among Shopify DTC merchants in our ICP (50K—1M monthly traffic)

WHAT WE OFFER

• Direct impact on a global SaaS product with real users and international customers
• Report to the Founder & CEO — short decision lines, real ownership
• A marketing team already in place (Content team, SEO, PPC, template team, design, lifecycle) — your job is to lead, focus, and scale
• Freedom to build the strategy and stack the team you need
• Flexible schedule (40 hours/week), fully remote
• 18 paid vacation days (don’t expire)
• Paid sick leave
• 50% compensation for professional training and English courses
• A team that values initiative, speed, and results over process theater

If you’re excited about building a category-recognized brand, scaling a global SaaS product, and turning marketing into a predictable growth engine, we’d love to hear from you.

T H E  R O L E
Own the intelligence layer of Rx360 — the models that turn continuous sensor and medication data into a working understanding of each individual we serve, and turn that understanding into actions that help them stay independent. You will set the ML architecture, build the longitudinal modeling stack from raw signal through to user-facing recommendation, and define how our models and our conversational companion work together.

W H AT Y O U ' L L D O
Own the ML architecture for personalized health intelligence — per-user baselines, N-of-1 and hierarchical models, and the strategy for learning from one individual's history rather than a population mean.
Build the digital biomarker stack on raw wearable signal: gait and cadence, sit-to-stand and postural transitions, activity classification, sleep and circadian structure, and cardiovascular trend from IMU and PPG streams.
Design change detection and event-association models that link medication starts, dose adjustments, and adherence gaps to downstream behavioral shifts — with defensible handling of confounding, lag structure, and multiple comparisons.
Turn a detected change into a recommendation: what to surface, to whom (the individual, family, pharmacist, or provider), with what urgency — and when the right answer is to say nothing.
Build the data and training infrastructure that carries high-frequency time-series from device ingestion through feature generation, training, serving, and monitoring.
Own evaluation. Offline benchmarks, labeled ground truth from pilot cohorts, calibration and drift monitoring, and the false-positive budget that decides whether people trust what we tell them.
Ground our conversational companion in real signal. Our AI companion runs on a large language model inside our
HIPAA-compliant cloud environment; you will connect it to per-user model output and own the evaluation and post- training work that keeps its guidance accurate, useful, and safe.
Push inference to the edge where latency, privacy, or battery demand it, working directly with the firmware and hardware teams on what runs on the band versus in the cloud.
Direct AI coding agents to accelerate implementation while holding a rigorous quality bar — the way the rest of our engineering team works.
Partner with clinical collaborators, including our university pilot, to design studies that produce the labeled data these models actually need.
Set technical direction and raise the bar for ML across the team.

R E Q U I R E D
6+ years in machine learning, including systems you have shipped to real users and operated in production — not only research or prototypes.
Deep experience with time-series or sensor data: physiological signals, IMU / accelerometry, or comparable high- frequency multivariate streams.
Demonstrated work in individual-level modeling — per-subject baselines, hierarchical or Bayesian methods, anomaly and change-point detection, or models that adapt as data from a single person accumulates.
Strong applied statistical judgment. You can separate a real effect from a coincidence in observational data, and you know exactly where a causal claim stops being defensible.
Production-grade Python and PyTorch (or equivalent). You write software other engineers are willing to maintain.
Ownership of the full lifecycle: data pipelines, training infrastructure, deployment, monitoring, and retraining.
Experience with large-language-model evaluation and post-training — grounding and retrieval, structured output, eval harnesses, and guardrails.
Cloud-native ML at production scale (AWS preferred).
Fluent use of AI development tools (Claude Code, Cursor, Copilot, or equivalent) with the domain depth to catch where generated code fails silently.
Clear, direct communication. You can set direction across firmware, backend, mobile, design, and clinical stakeholders.

N I C E T O H AV E
Wearables, digital biomarkers, gait analysis, fall risk, or human activity recognition.
Self-supervised or foundation-model approaches for wearable time series, and comfort working under real label scarcity.
Causal inference on observational data — interrupted time series, difference-in-differences, or synthetic control.
Medication-effect modeling: polypharmacy, adherence, or PK/PD intuition.
On-device and edge ML — quantization, distillation, TinyML, inference under a power budget.
Regulated environments: HIPAA and PHI handling, model governance, or the general-wellness boundary.
Clinical research collaboration and IRB-governed data.
Voice or audio ML.

W H Y T H I S R O L E I S D I F F E R E N T
G R E E N F I E L D
You are defining the intelligence layer, not maintaining someone
else's. The architecture decisions are yours to make.
R E A L S I G N A L
Continuous, longitudinal, multi- stream data from a device we build
ourselves — with the firmware team a message away.
I T M AT T E R S
A model that catches a medication effect three days early changes
whether someone keeps living in their own home.

H O W W E W O R K
Mission comes first.
The work has real impact on people's lives. We take that
responsibility seriously.
Thoughtful technology.
Technology should simplify life, not complicate it.
Respect for independence.
The people we build for value autonomy and dignity.
Everything we create reflects that.
Curiosity.
We encourage questions, experimentation, and new ways
of thinking.

A B O U T R X 3 6 0
Rx360 is a wellness platform for older adults who want to keep living on their own terms — and for the families, pharmacists, and providers around them.
The wearable is a wrist-worn band we design in-house, carrying a PPG sensor for cardiovascular signal, a six-axis IMU for motion, gait, and posture, and on-device fall detection. The iOS and Android apps give the individual a plain- language view of their own day and their medications, and open a shared circle of care to the family members they choose to include.
Rx360 is a U.S. company headquartered in Los Angeles, California, with a distributed engineering team. Hardware, firmware, mobile, backend, and machine learning are all in-house.