Jobs at Djinni

Project Description:

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

Responsibilities:

• Develop high-quality software, design, and functional documentation
• Provide estimates for specific software feature implementation
• Identify, prioritize, and execute tasks in the software development life cycle
• Build unit tests for your code
• Automate tasks through appropriate tools and scripting
• Perform validation and verification testing
• Collaborate with internal teams and vendors to fix and improve products
• Ensure software is up-to-date with the latest technologies and standards

Mandatory Skills Description:

Hard skills:
- Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.
- Experienced in Linux-based development environments.
- Network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.

Soft skills:
- Capable of effective collaboration within a team setting while also being able to work independently.
- Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.
- Communicates fluently in English at an Upper-Intermediate spoken level.

Nice-to-Have Skills Description:

• Optional ability to research and recommend new technologies, demonstrating rapid adaptability to change.
• Optional experience in working with market data and trading environments.
• Python programming

Languages:

English: B2 Upper Intermediate

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

Languages:

English: C2 Proficient

Project Description:

We are looking for a Regular DevOps / Cloud Infrastructure Engineer to support infrastructure automation, environment deployment, and GitOps-based delivery.

Responsibilities:

* Own the Terraform infrastructure - API Gateway routes, Lambda functions, IAM roles, EC2, DynamoDB tables, SQS queues, AWS Workspaces .etc
* Design and maintain Python Lambda handlers that integrate with Active Directory/LDAP, GitLab, JFrog Artifactory, and the AWS SDK, handling KMS-encrypted secrets and SSM parameters.
* Run and troubleshoot the Jenkins deployment pipeline across environments (plan / create / destroy / test).
* Keep integration tests healthy and add coverage for new endpoints.
* Manage secrets and access control - Jenkins credentials, KMS key permissions, API keys stored in SSM.
* Solid Ansible skills for authoring and maintaining idempotent playbooks, roles, and inventories across Linux and Windows hosts.
* Strong Linux administration skills, including shell scripting, package and service management, systemd, networking, and troubleshooting.

Mandatory Skills Description:

* Hands-on experience with AWS or Azure.
* Experience with Terraform and infrastructure-as-code.
* Knowledge of networking: VPC, subnets, routing, security groups, NAT, private endpoints.
* Experience with IAM roles and policies.
* Experience with Jenkins, GitLab CI/CD or Azure DevOps Pipelines.
* Ability to troubleshoot complex cloud deployments.
* Good communication and documentation skills.

Nice-to-Have Skills Description:

* PowerShell for Windows / AD / Workspaces helper scripts.
* JFrog Artifactory REST API - permissions, replication, tokens, storage.
* Windows Server administration, RSAT, and SSM Run Command.
* Bedrock and SageMaker service familiarity.

Languages:

English: B2 Upper Intermediate

Hey there! 👋

Our team is rapidly growing, and we're looking for an exceptional quality assurance automation engineer to join our team as soon as possible! You will be working directly with our CTO, and will have ample opportunity for growth, since this is a long-term opportunity (1-year contract).

We need you to have: 🎯

• High attention to detail and desire to build things right;
• Excellent communication skills;
• English should be at least B2 (C1 preferred);
• You have 6+ years of commercial automation QA / TDD experience;
• SOLID programming experience;
• Strong experience with e2e, unit tests, playwright or puppeteer;
• Experience with jest/karma (jest is preferred);
• Strong experience with TypeScript, good knowledge of HTML/CSS;
• Strong experience with TypeScript;
• B.Sc. in Computer Science or similar;

What would be a huge plus: ✨

• C1/C2 English;
• Experience of building/bootstrapping your own side projects (please share links);
• Experience with full-stack engineering (TypeScript, React)
• Experience with cloud providers (GCP);
• Located in Eastern Europe (Ukraine/Poland/similar);

What’s in it for you: 🌴

Professional Growth & Lifestyle:

- Remote work (our team is 100% remote);

- Opportunity to join a distributed and rapidly growing team (30 members at the moment);

- Leadership initiatives.

Benefits:

- Annual vacation: 20 business days (100% compensation)

- Annual sick leave: 10 business days (100% compensation)

- Competitive compensation.

Please, feel free to ask us with any questions! (pun intended 😉)

Best regards,

Universium Team ❤️

Due to team expansion and product growth, we are looking for a Risk Manager with strong analytical skills to effectively develop and implement the product in line with the company’s strategic goals and customer needs.

Responsibilities

• Monitor market conditions in real time to ensure the seamless operation of trading platforms
• Manage risks associated with clients' trading operations
• Assess user trading activity and implement anti-fraud measures
• Collaborate with other departments (customer support, IT, product team) to ensure efficient client interaction
• Conduct analytics and gather statistics on user trading activity

Requirements 

• Experience working with Excel
• English level – Intermediate 
• Bachelor’s degree in Finance, Economics, Mathematics, or a related field
• Ability to quickly analyze large volumes of data and make decisions
• Ability to work in a fast-paced environment with high responsibility

Will be a plus

• Experience in a similar role in the financial or CFD industry
• Experience working with trading platforms (MetaTrader, cTrader, or similar)
• Deep understanding of financial risks and experience working with CFD

We offer

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Sounds interesting? Apply now and let’s have a talk!

HBDCard is a crypto / fintech product focused on making crypto payments simple and practical for everyday use.
 

We are looking for a hands-on AI Social Media & Growth Manager who can build and manage our social media presence, create high-quality content using modern AI tools, and help grow the HBDCard brand.
 

This is not a role for someone who only schedules posts or follows a basic monthly content plan.
 

We need someone who understands social media culture, knows how to use AI tools at a high level, can move fast, test ideas, follow trends, and turn them into engaging content.
 

Responsibilities:
 

• Manage HBDCard social media channels: X / Twitter, Instagram, TikTok, LinkedIn, Telegram
   
• Build and execute the social media content strategy
   
• Create short-form videos, graphics, carousels, memes, posts, threads, and other content
   
• Use AI extensively in the content production process
   
• Follow crypto, fintech, payments, AI, and social media trends
   
• Quickly turn relevant trends and market events into HBDCard content
   
• Write strong English copy, hooks, captions, and CTAs
   
• Test different content formats, hooks, visuals, and creative approaches
   
• Analyze content performance and continuously improve based on data
   
• Grow engagement, followers, website traffic, sign-ups, and customer acquisition
   
• Engage with relevant crypto, fintech, and Web3 communities
• Identify potential collaborations, influencers, creators, communities, and distribution opportunities
   

AI tools:
 

You should be comfortable working with modern AI tools such as ChatGPT, Claude, Midjourney or other AI image generators, Kling, Google Veo, Seedance, Runway, ElevenLabs, HeyGen, CapCut, and similar tools.
 

We do not expect you to use every tool. What matters is that you understand how to combine AI tools into an efficient workflow and consistently produce high-quality content.
 

Requirements:
 

• 2+ years of experience in social media, content, growth, or a related role
   
• Strong practical experience with AI content-generation tools
• Strong understanding of Instagram, TikTok, X / Twitter, LinkedIn, and short-form video
   
• Good visual taste and understanding of modern social media content
   
• Ability to create content independently without requiring a designer for every post
   
• Strong written English
   
• Ability to write strong hooks and natural copy that does not feel generic or obviously AI-generated
   
• Understanding of social media analytics and content performance
   
• Ability to work independently and take ownership of the social media direction
   
• Fast execution and willingness to experiment
• Ability to identify trends and quickly turn them into relevant content
   

Big advantage if you have experience with:
 

• Crypto / Web3
   
• Fintech
   
• Crypto cards or payment products
   
• Growing X / Twitter accounts in the crypto space
   
• Telegram communities
   
• Organic social media growth
   
• Influencer or creator collaborations
   
• Short-form video production
   
• Video editing or motion design
   
• Basic paid social / Meta Ads / TikTok Ads
   
• Community management
   

We are not looking for someone whose main workflow is simply creating a fixed number of posts per month and scheduling them.
 

We want someone who actively looks for opportunities, understands trends, generates ideas, produces content, tests it, analyzes results, and improves quickly.
 

Working format:
 

• Full-time
• Long-term cooperation
• Direct communication with the HBDCard team
   

How to apply:
 

Please send:
 

1. A short introduction about yourself
2. Links to social media accounts or brands you have managed
3. Examples of content you personally created
4. Examples of AI-generated content you created
5. The AI tools you use regularly
6. Your experience with crypto, fintech, or Web3, if any
7. Your expected monthly salary
    

Please also answer:
 

If you joined HBDCard tomorrow, what would you do during your first 30 days to grow our social media presence?

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

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:

AWS Database Migration Service

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

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

Skills

Must have

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

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

Other

Languages

English: C2 Proficient

• 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

  - 2 month project with posibility of extentention
  - 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

   

• Languages:
  • English: C2 Proficient