Jobs Data Engineer

Project overview

This project focuses on building and enhancing an enterprise data warehouse platform that supports data driven decision making across complex business domains. The work involves designing scalable data models, ingestion pipelines, and transformation logic to ensure high quality and consistent data.

Team

You will be part of a collaborative data team working alongside data designers, data engineers, and platform specialists. The team operates in an agile environment, shares knowledge actively, and follows established data design standards and review practices.

Position overview

We are looking for a Senior Data Designer who can operate as the bridge between business stakeholders and engineering — someone equally comfortable running a requirements workshop and designing a Kimball-style dimensional model. This is not a pure modelling role: you'll investigate source systems, challenge and shape business requirements before any design work starts, and turn that understanding into governed, well-documented data platform designs that engineering teams can implement. You will contribute to data ingestion design, transformation logic, and data harmonization while working closely with stakeholders and platform teams.

Technology stack

Core: SQL, dimensional/Kimball data modelling, enterprise data warehouse tools, cloud data platforms
Additional technologies used within the project: Python, PySpark, data profiling tooling

Responsibilities

• Design and document Enterprise Data Warehouse objects: data models, source-to-target mappings, model diagrams, and supporting design documentation that engineers deliver from
• Work with stakeholders and source-system SMEs to onboard new data sources and adapt designs to what each source provides
• Clarify the intent behind requirements before designing: why the stakeholder needs it and whether existing structures already cover it
• Profile and analyze source data to validate design assumptions
• Define data quality rules as part of designs for downstream teams to implement
• Investigate reported data issues, identify root causes, and propose design-level fixes
• Take designs through peer and design review; give and take constructive challenge
• Keep stakeholders informed: raise issues early, ask instead of assuming, follow up until unblocked

Requirements

• Strong practical foundations of dimensional modeling — able to design warehouse models from raw source data and explain the reasoning behind design choices
• Hands-on experience producing source-to-target mapping documentation
• Working understanding of data platform layering and data load approaches
• Confident SQL for data profiling and validation
• Strong written and spoken English; comfortable gathering requirements and managing stakeholder expectations
• Attention to detail; comfortable working in a governed environment with reviews and design standards, and data privacy/PII classification requirements

Nice to have

• SAP as a source system
• Retail domain experience
• Agile delivery experience

MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products, and every 5th Mac on Earth has our product installed.

At MacPaw, we believe humans and technology can reach their greatest potential together.

We gather open-minded people who support each other and aspire to change the world around us, making millions of people’s lives easier with technology.

Our flagship products include CleanMyMac, Setapp, ClearVPN, Moonlock, and more. Now, we’re stepping into an important new stage: launching a product ecosystem with a new AI Mac Assistant — Eney.

We are expanding our team and looking for a Data Engineer to help us build a scalable, reliable data architecture.

In this role, you will build reliable data pipelines, design clear domain models, and optimize our data warehouse. We value a practical, problem-solving mindset — someone who easily navigates ambiguous requirements, brings structure to complex tasks, and takes ownership of their solutions.

In this role, you will:

• Build and support Airflow pipelines to ingest data from third-party sources (APIs, payment providers, ad networks) with retries, backfills, and quality checks.
• Work directly with Analytics Engineers and product teams to translate ambiguous business requests into reliable data models.
• Design and implement fact and dimension tables in dbt using dimensional modeling principles.
• Migrate existing SQL transformations into dbt models, adding tests and documentation.
• Refactor the current dbt project: improve layer structure, standardize naming conventions, and set up CI checks.
• Optimize slow or costly warehouse queries and materializations.
• Evaluate table formats and set up initial ingestion flows for our Data Lakehouse prototype.

Skills you’ll need to bring:

• Strong proficiency in Python and advanced SQL, including complex transformations, window functions, and query optimization.
• Proven experience building and orchestrating ELT/ETL pipelines using Airflow.
• Solid experience with dbt for data modeling, testing, documentation, and managing project structure.
• Good understanding of dimensional modeling concepts, Kimball methodology, star/snowflake schemas, and SCDs.
• Practical experience working with cloud data warehouses (preferably BigQuery, Redshift, or Snowflake) and Cloud Storage.
• Hands-on experience with Docker, Git workflows, and basic cloud/containerized environments.
• A problem-solving mindset with the ability to handle ambiguous requirements, communicate effectively with stakeholders, and use AI/LLM tools (like Claude) to speed up delivery.
• At least an Intermediate level of English and fluent Ukrainian.

As a plus:

• Experience with change data capture (CDC) tools and patterns (e.g., Debezium).
• Background in building and optimizing large-scale data processing jobs with PySpark.
• Experience with real-time data processing using message brokers like Kafka or RabbitMQ.
• Experience with stream processing frameworks (Flink, Kafka Streams).

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

Who are we?

Fuelfinance is on a mission to revolutionize financial management for early-stage startups, empowering them to take control of their finances and thrive. We recently raised $1M in Seed Funding from top-tier investors like Markus Villig (Bolt), John S. Kim (SendBird), Stratmind, and Bad Ideas funds, following 3 years of profitable, bootstrapped success. Trusted by businesses with over $200M in P&L, including Reface, Petcube, and Hampton, we’ve built a universal tool that brings clarity and insight to finance management.

With 38% of startups failing due to cash flow issues, our goal is to prevent these failures and unlock trillions in GDP growth. At Fuelfinance, we’re not just creating software — we’re safeguarding the future of thousands of startups. Join us and be part of this impact!

fuelfinance.me

www.instagram.com/fuelfinance

youtu.be/eI5VH2Ks9o4

Who are we searching for?

We're looking for an Enterprise Finance Engineer — someone who can design and implement AI-powered finance systems for our largest and most complex customers. This role sits at the intersection of Finance, Accounting, Systems, Automation, Integrations, and AI.

You'll work directly with CFOs, Finance Directors, Controllers, IT teams, and finance teams to redesign finance operations through AI, automation, and system integrations. You'll own a small number of large, strategic customers end-to-end — from understanding business processes to designing scalable solutions and continuously improving them as the business evolves.

This isn't a role for someone who wants repeatable implementations or well-defined requirements. Every customer is different. You'll navigate ambiguity, work with demanding stakeholders, and solve unique technical problems without predefined playbooks. If that energizes you, we'd love to meet you.

What are your responsibilities?

• Design and implement AI-powered finance systems for enterprise customers
• Lead discovery sessions to understand finance processes and identify automation opportunities
• Build workflows for reporting, forecasting, financial controls, reconciliations, and planning
• Design integrations across ERP, accounting, CRM, payment, BI, and data platforms
• Translate finance requirements into scalable workflows, automations, and system architecture
• Build AI agents, validation logic, and automation frameworks that reduce manual work
• Partner with Engineering on APIs, integrations, and workflow orchestration
• Coordinate across Engineering, Product, and Customer Success as the trusted technical partner for your customers
• Continuously improve customer solutions as business needs evolve

What are the preferred requirements for the role?

• 10+ years implementing finance systems, automations, or enterprise finance operations
• 1+ year building AI-powered automations, agents, workflows, or internal AI tools
• Hands-on experience with APIs, system integrations, automation platforms, and data warehouses
• Experience working with enterprise or multi-entity organizations (multiple stakeholders, legacy systems, changing requirements, long implementation cycles)
• Proven experience leading implementation projects end-to-end — discovery, solution design, rollout, training, and support
• Fluent English
• Strong understanding of finance and accounting processes, including financial close, reporting, FP&A, revenue, AP/AR, and financial controls
• Ability to understand how financial data flows across systems and departments
• Experience with ERP, accounting, or billing systems
• Proven impact in numbers: hours saved, manual work reduced, faster reporting, or fewer errors
• Excellent communication skills and experience working directly with senior finance stakeholders
• Strong systems thinking — the ability to see the bigger picture and break complex finance processes into scalable, maintainable, reusable solutions
• Ownership: taking full responsibility from problem discovery through implementation and post-launch optimization
• Learning agility: quickly mastering new AI tools, technologies, and approaches
• Strong problem-solving under ambiguity, with the judgment to make trade-offs and prioritize
• Strong drive to eliminate repetitive manual work
• Proactivity and a high level of responsibility
• Ability to work in a fast-paced environment

Will be a plus:

• Python or other scripting experience
• SQL and the ability to retrieve and validate financial data independently
• Experience with tools like NetSuite, QuickBooks, Xero, Stripe, Salesforce, HubSpot, Zuora, BigQuery, Snowflake, PostgreSQL, Looker, Power BI, Tableau, Zapier, Make, n8n, or Workato
• Understanding of enterprise architecture — security, scalability, governance, and integration patterns
• Experience working with US-based clients or startups

Reporting Structure: reporting to the Head of FP&A

Recruitment Process:

• Soft skills interview with the recruiter
• Test task
• Hard skills interview with the Head of FP&A
• Culture fit interview with the Head of FP&A/VP of Operations

Why work with us?

• Build the future of finance work — design AI-native finance operations, not just maintain them
• Rapid skills improvement (you'll work with multiple client businesses with different models and challenges)
• Growth opportunities according to our seniority grading (it comes with a compensation increase)
• Flexible schedule and time-off policy
• 18 days of paid vacation per year, paid sick leaves

Job Description 

We are seeking a Multimedia Engineer for a long-term, full-time, remote project to join our engineering team, working on advanced audio/video streaming solutions for embedded platforms. The ideal candidate will have strong hands-on experience with GStreamer and a deep understanding of multimedia systems, media pipelines, and streaming technologies. 

Technical Requirements 

• 5+ years of software development experience in multimedia or system-level environments 
• Strong hands-on experience with GStreamer at the developer level (must-have), including: 

     - ​ building and debugging complex media pipelines 

     - working with elements, pads, caps, and plugins 

     - diagnosing latency, synchronization, and performance issues 

• Strong programming skills in C++ and Java for system-level or multimedia applications 
• Solid understanding of audio and video streaming protocols (RTP, RTSP, etc.) 
• Experience working with video and audio codecs (H.264, H.265, VP9, AAC, Opus, etc.) 
• Experience with Video4Linux (V4L2) Expe .;
• Experience with embedded platforms (Embedded Linux and/or Embedded Android) 
• Understanding of networking fundamentals: TCP, UDP, HTTP 
• Ability to debug complex issues across software layers (middleware, OS, hardware interaction) 
• Experience with version control systems (Git).
• Excellent problem-solving, critical thinking, and communication skills 

Nice to Have 

• Experience with Embedded Android / Android BSP (AOSP) 
• Familiarity with multimedia and graphics systems such as: 
• Android Audio / SurfaceFlinger 
• ffmpeg, VAAPI, OpenMAX, OpenGL 
• Experience with streaming technologies such as WebRTC 
• Experience with camera integration or camera subsystem customization 
• Knowledge of hardware-accelerated media pipelines 
• Scripting experience (Bash, Python) 

Responsibilities 

• Design, develop, and maintain multimedia middleware components 
• Build, integrate, and optimize GStreamer-based audio/video pipelines.
• Integrate media components with user-space applications and system services 
• Debug and resolve complex media issues related to performance, stability, and synchronization 
• Drive technical discussions and contribute to architecture decisions 
• Collaborate with hardware, platform, and application teams 
• Support board bring-up and hardware validation related to audio/video subsystems 

This is a pivotal role where you will hold full accountability for leading our front-end strategy, transitioning into advanced Power BI architectures, and strategically integrating AI capabilities into our business intelligence solutions. We are seeking a high-level expert who can build sophisticated data models and leverage AI to deliver premium, actionable insights that will empower our global leadership to make smarter, data-driven decisions.

Requirements

• At least 5 years of experience in BI Front development, with a primary focus on Power BI, complex data modeling, and master-level DAX writing
• Governance & Security: Proven experience in managing Power BI user roles, workspaces, capacities, and implementing advanced row-level security (RLS) configurations.
• Back-End & Data Architecture: Proven experience in Back-end development, SQL, designing ETL/ELT pipelines, and building Star Schema database models.
• Experience with Microsoft Fabric.
• Oracle Ecosystem: Familiarity with Oracle Autonomous Database and Oracle Data Integrator (ODI) and Oracle ERP Fusion
• AI Technologies: Familiarity with AI tools, generative AI solutions, or experience exploring AI-based automation, agents, or intelligent workflows. 
• Fluent English – Mandatory.

What we offer

• Help and support from our caring HR team
• 20 days of vacation + 10 days of sick leave
• The exchange of experience and work with talented colleagues
• Last but not least - valuable compensation for your efforts

Responsibilities

• In this role, you will become an integral part of the BI Team, enabling advanced analytics, automating workflows, and increasing productivity by partnering with cross-organizational functions.
• Advanced Power BI Development: Design, build, and maintain high-end interactive dashboards and complex data models within Power BI. Implement robust row-level security (RLS), role definitions, and permission management structures.
• Back-End Development Support: Partner closely with our Back-end developer to actively develop, optimize, and support database processes, ensuring a seamless data pipeline flow from source systems to the front-end layers.
• Drive AI Roadmap: Research and design the future integration of AI and LLM agents into our BI ecosystem, preparing our Power BI and database layers for smart automation and natural language querying
• Stakeholder Collaboration: Partner directly with global business stakeholders to translate complex strategic requirements into intuitive, reliable, and highly scalable analytical tools.

escription

Data Solutions team is at the heart of the business, building the data
products and analytical capabilities that underpin our Decision Engine platform, power vehicle
intelligence, and drive performance insight across the organisation.

As Analytics Engineer, you will sit at the intersection of data engineering, data science, and product
delivery. You will be the dedicated technical resource for the Decision Engine Product Manager,
Vehicle Data Lead, and Lead Data Scientist, enabling faster, more rigorous analysis, cleaner data
pipelines, and more reliable analytical outputs across all three workstreams.
This is a high-impact, high-visibility role for someone who is technically strong, commercially
curious, and energised by working across diverse product and science problems in a fast-moving
environment.

Data Solutions is a team of approximately 15 across Decision Engine product, Data Science,
Operational Reporting, and Vehicle Data & Platform. We operate in a hybrid model and value
autonomy, rigour, and genuine curiosity about the commercial problems we are solving.

Requirements

Essential
• Strong SQL and Python skills, with practical experience building and maintaining data
transformation pipelines
• Hands-on experience with a modern data stack (Databricks, dbt, or equivalent)
• Ability to translate ambiguous analytical requirements from product managers, data
scientists, and business stakeholders into reliable, well-documented pipelines
• Experience working in a commercial or product-focused data environment
• Strong understanding of data modelling principles — from raw ingestion through to analytical
layer design
• Comfortable working across multiple concurrent workstreams with competing priorities
• Clear, confident communicator — able to explain technical approaches to non-technical stakeholders
Desirable
• Experience with automotive, marketplace, or pricing/valuation data
• Familiarity with ML feature engineering and supporting data scientists in production
environments
• Exposure to Rally, Jira, or similar agile delivery tooling
• Knowledge of data governance, lineage, and cataloguing practices
• Experience with A/B testing frameworks or experimentation analytics

We are seeking a hands-on Senior DevSecOps Engineer with strong AWS and Azure experience to embed security directly into our engineering lifecycle. In this role, you will be the technical engine that automates compliance guardrails, integrates security tooling (SAST/DAST, EDR, Vulnerability Management) into CI/CD pipelines, and routes critical security telemetry to our SIEM. Your mission is to build the automated scaffolding that allows software delivery to move at high speed without compromising on enterprise security or governance.

Key Responsibilities

·  CI/CD Security Automation: Design, build, and maintain secure deployment pipelines (e.g., GitHub Actions, Azure DevOps, GitLab CI). Integrate automated vulnerability scanning, secret detection, and software supply chain security (SCA) seamlessly into the developer workflow.

·  Policy-as-Code & Guardrails: Write, test, and deploy automated policy guardrails using Infrastructure as Code (IaC) linting and scanning tools (e.g., Checkov, Tfsec, OPA/Rego) to catch misconfigurations before they reach production.

·  Security Product Deployment: Automate the baking of EDR agents, vulnerability scanners, and monitoring tools into base machine images (AMIs, Azure Golden Images) and containerized base environments.

·  Vulnerability & Remediation Pipelines: Operationalize vulnerability management by building automated workflows that ingest findings from cloud security tools, prioritize them based on risk, and route them to engineering backlogs (e.g., Jira tracking).

·  Logging & SIEM Integration: Configure and automate the pipeline delivery of application, container, and infrastructure logs to central logging repositories and SIEM systems for real-time threat hunting.

·  Developer Enablement: Serve as a bridge between Security and Engineering, providing developer-friendly remediation guidance and creating reusable, secure-by-default code templates (Terraform modules, Helm charts).

Required Skills & Qualifications

·  DevSecOps & CI/CD Pipelines: Deep, practical experience constructing and securing automated build/release pipelines at scale.

·  Multi-Cloud Platforms: Hands-on engineering experience configuring native security services and access controls in both AWS and Azure.

·  Infrastructure as Code (IaC): Advanced proficiency with Terraform or cloud-native tooling (Bicep, CloudFormation), focusing on modular design and immutable infrastructure.

·  Security Tooling Implementation: Direct experience implementing and maintaining security products across the lifecycle (e.g., SonarQube, Prisma Cloud, Wiz, Snyk, CrowdStrike, or Sentinel).

·  Container & Orchestration Security: Strong understanding of Kubernetes (EKS/AKS) security best practices, service meshes, and container runtime defense.

Preferred Certifications

·  Certified DevSecOps Professional (CDP) or Practical DevSecOps certification

·  AWS Certified Security – Specialty or Azure Security Engineer Associate

·  Certified Kubernetes Administrator (CKA) / Certified Kubernetes Security Specialist (CKS)...

We are looking for a security-first Cloud DevSecOps Engineer to design, automate, and protect our multi-cloud infrastructure across AWS and Azure. In this role, you won't just build pipelines—you will bake security directly into them. You will work closely with our development and engineering teams to enforce a "Shift Left" culture, ensuring that automation, scalability, and airtight cloud compliance go hand-in-hand.

Core Responsibilities

·  Multi-Cloud Automation: Build and manage highly available infrastructure across AWS and Azure using Infrastructure as Code (Terraform).

·  Pipeline Hardening: Design and secure CI/CD pipelines (GitHub Actions, Azure DevOps, or GitLab), embedding automated vulnerability scanning, SAST/DAST, and container scanning tools.

·  Identity & Secrets Access: Enforce zero-trust architecture across both platforms via robust IAM strategy, RBAC, and secure secrets management (HashiCorp Vault, Azure Key Vault).

·  Container Security: Deploy, manage, and harden containerized workloads running in Kubernetes (EKS & AKS).

·  Compliance & Monitoring: Continuously audit cloud posture using AWS Security Hub and Azure Defender to ensure alignment with frameworks like SOC2, ISO 27001, or CIS benchmarks.

Key Qualifications

·  Experience: 3+ years in a cloud operations or infrastructure role managing production environments in both AWS and Azure.

·  Tools: Deep familiarity with Terraform, Docker, Kubernetes, and scripting languages (Python, Bash, or PowerShell).

·  Security Mindset: Practical knowledge of cloud network security, data encryption, and vulnerability management.

·  Certifications (Preferred): AWS Certified Security/DevOps Professional, Azure Security Engineer (AZ-500), or CKS (Certified Kubernetes Security Specialist). Here is a concise, targeted job description for a DevSecOps Engineer/Architect, shifting the focus from high-level cloud design to the hands-on engineering, automation, and pipeline integration of those security products and guardrails.

Requirements:

• 5+ years in Quality Assurance with a proven track record in Data Warehousing and ETL testing.
• Solid experience working in fast-paced Scrum environments and understanding the QA lifecycle within short delivery sprints.
• Advanced ability to write complex queries to audit data logic.
• Hands-on experience with testing frameworks such as PyTest (Python) or NUnit/xUnit (C#).
• Advanced SQL skills for querying source databases to create baseline data for comparisons.
• Deep understanding of data-specific concepts like schema evolution, data truncation, null handling, and referential integrity.
• Work closely with data engineers to integrate your automated data and model tests into our deployment pipelines (Azure DevOps / GitHub Actions) to prevent bad data from reaching production.
• High-level professional proficiency in English (written and verbal) for technical documentation and stakeholder communication.
• Strong problem-solving skills with the ability to identify "the needle in the haystack" within millions of rows of data.

Nice-to-Haves:

• Experience using Azure DevOps (AzDO) or Jira for test case management and bug tracking.
• Familiarity with Azure services (Function apps, ADLS etc).
• Experience in testing web services/APIs.

Job Responsibilities

• Create comprehensive manual and automated test plans tailored to ETL workflows and Data Warehouse architectures.
• Perform rigorous testing to ensure data flows correctly and accurately from diverse source systems to target tables
• Design and implement automation scripts to validate data integrity, completeness, and transformation logic at scale.
• Identify and track data discrepancies, collaborating closely with Data Engineers to perform root-cause analysis on failures.
• Actively participate in Scrum ceremonies to refine requirements, estimate data-related tasks, and provide quality-based recommendations

Department/Project Description

Our Client is one of the major players in automotive aftermarket in the USA. The car repair, automotive touch-up and car care solutions are designed to help body shops put quality vehicles on the road.
Pattern Marketplace platform is an advanced tool that enables cutting paint protection film and window film.

We are looking for a Senior Software Engineer – Platform Modernization to lead development efforts focused on improving system scalability, modernizing backend services, and enhancing infrastructure and data systems within a high-scale, event-driven architecture.

The platform is built on a robust event-driven design and already supports scalable real-time processing and analytics. The goal of this role is to further expand its capabilities to meet growing technical and business demands.

As a senior member of the engineering team, you will play a key role in shaping the future of the platform by driving architectural improvements, increasing system reliability, and optimizing performance across core services. Your work will have a direct impact on the scalability, stability, and efficiency of mission-critical systems.

Responsibilities
 

• Develop and maintain modular, containerized microservices using .NET Core within a distributed architecture.
• Implement event-driven communication and streaming data flows using Kafka, RabbitMQ, and MassTransit.
• Collaborate with product leads and engineering leadership to translate business requirements into scalable technical solutions.
• Lead migration efforts from legacy components built on technologies such as .NET Framework and MSMQ into modern, cloud-ready services.
• Participate in design reviews, promote clean code practices, and apply Domain-Driven Design principles.
  
  Requirements
   
• Minimum 4 years of experience in backend development.
• Proven expertise in big data and messaging systems — Kafka and RabbitMQ are mandatory.
• Experience with relational and NoSQL databases, including MSSQL, PostgreSQL, MongoDB, Redis
• Familiarity with MSMQ for legacy system understanding and migration - advantage
• Strong proficiency in .NET Core, .NET Framework, and C#.
• Experience in infrastructure development, including cloud-native and general-purpose systems - advantage
• Experience with AWS services (e.g., ECS/EKS, Lambda, RDS, S3, CloudWatch) - advantage
• Hands-on experience with MassTransit or other orchestration libraries - advantage
• Solid understanding of distributed systems, microservices, and event-driven architectures.
• Experience with API design, documentation, and governance.
• Knowledge of security best practices, including OAuth2, JWT, and secrets management.
• Strong debugging, profiling, and performance optimization skills.
• Passion for clean code, testing, and continuous improvement.
• Strong communication skills and a proactive approach to problem-solving.
• Ability to mentor junior developers and contribute to team growth.
  
  Bonus Skills
• Exposure to JavaScript/React for cross-layer collaboration.
• Familiarity with CI/CD pipelines, containerization, and infrastructure as code.

ZentixSoft is looking for a Senior AWS Cloud Data Engineer (Financial Ecosystems) ☁️📊

We are significantly expanding our data engineering and analytics direction for our strategic international partners and are looking for a highly mature Senior Data Engineer to drive cloud-native banking data products.
 

Note: This is an Outstaffing role where you will join a high-impact core data team. 

⚠️ A Quick Note for Applicants: To move forward swiftly, your CV must clearly highlight your hands-on architecture decisions, specific AWS technologies used, data volumes, and the precise banking data products you have delivered.

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your expertise and engineering growth. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

If you are ready to architect resilient data solutions for a massive financial ecosystem, here is what our perfect match looks like:

1️⃣ Engineering Seniority: A proven track record of designing, building, and operating large-scale data platforms specifically within the AWS cloud environment. 
2️⃣ FinTech & Banking Domain: Solid experience handling sensitive financial data products (focused on areas like Risk, Compliance, Fraud Prevention, Finance, or Regulatory Reporting). 
3️⃣ Governance Mastery: Deep understanding of banking infrastructure needs, including strict data lineage, quality validation, auditability, and data security. 
4️⃣ Independence: Ability to make standalone architectural and technical design choices, turning raw business requirements into robust, high-volume production pipelines. 
5️⃣ Communication: Fluent English combined with strong stakeholder management skills to align easily with business, tech, and compliance teams.
 

Project Details: 
📍 Location: Primarily remote, with a preference for candidates located in the Baltics (or other EU countries). 
✈️ Work Model: Occasional onsite visits to client offices in the Baltics (approx. once per month for 2–3 days). 
⏳ Duration: Long-term cooperation. 
🚀 Start: ASAP.

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a leading video monetization platform used by hundreds of digital publishers worldwide to recommend high-quality video content to their users. As part of the Platform Team, you will help build and evolve client's core management platform - a mission-critical Video CMS used by internal teams and publisher clients to manage video libraries, campaigns, placements, business rules and to track performance across the network. You will work primarily on the PHP 8 backend, Platform REST APIs, and a React/TypeScript frontend that powers the modern management UI. The platform functions as a high-scale Video CMS, handling complex workflows for fetching, processing, and managing content at scale. The system manages large-scale video and advertising operations — thousands of assets, millions of videos, and workflows that directly affect publisher operations and video delivery worldwide using modern databases and data stores like MySQL/MariaDB, Redis and OpenSearch.

Key Requirements:
🔹 5+ years of experience in backend or full-stack development;
🔹 Strong Backend Foundations - Deep understanding of client/server architecture and core backend workflows;
🔹 PHP Experience;
🔹 React & TypeScript - Strong advantage;
🔹 Data & Cloud Savvy - Hands-on experience with modern data stores (MySQL/MariaDB, Redis, OpenSearch) and cloud environments (AWS preferred);
🔹 Collaboration & Automation - Comfortable with standard engineering workflows (Git, Jira, Code Reviews) and automated testing concepts;
🔹 Soft Skills - Excellent communication skills, collaborative mindset, and;
🔹 English proficiency;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 Domain Experience - Background in Ad-Tech, video publishing, or media systems;
🔹 Advanced API Design - Experience with complex REST APIs (auth, permissions, pagination, and bulk operations);
🔹 Data Architecture - Strong background in algorithmic thinking and data sync/consistency across relational DBs and search indexes;

What you will do:
🔹 Contribute to Core Architecture - Design and implement scalable backend systems, REST APIs, and complex workflows while evaluating database performance and collaborating with DevOps on AWS infrastructure;
🔹 Build Features End-to-End - Deliver backend logic and React/TypeScript UI for videos, channels, templates, and placements;
🔹 Drive Technical Excellence - Ensure stability and efficiency of heavy backend processes, scheduled jobs, and data sync across core data stores;
🔹 Impact the Roadmap - Collaborate with the Team Leader and Product to translate requirements into technical designs;
🔹 Embrace Modern Tooling - Leverage AI-assisted development tools and;
🔹 Partner with QA on automated testing (transitioning to Playwright);

Interview stages:
🔹 HR Interview;
🔹 Intro-call with client;
🔹 Manager Interview (1h);
🔹 Live coding session (3h);
🔹 VP Interview (1h);
🔹 Reference check;
🔹 Offer;


Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

About the company: A product international fintech company that has been working with global banks and funds since 2011. It provides a low-latency gateway allowing instant transactions on global currency exchanges. The company works with microwave transmitters and other hardware solutions to reduce signal processing time. It offers its clients hosting services for automated trading equipment.

Work format: Remote.

Required experience:

• Experience deploying infrastructure from scratch and maintaining it for data projects
• Experience administering and supporting time-series databases at a production level

• Hands-on experience with at least one of the following databases: ClickHouse, InfluxDB, ScyllaDB/Cassandra, or KDB+ (experience with other time-series/NoSQL solutions will also be considered)

   

Nice to have:

• Experience making architectural decisions for building data infrastructure (technology selection, storage schema design, scaling)

   

Responsibilities:

• Selecting, installing, configuring, and scaling databases
• Designing data schemas and storage strategies for large volumes of data
• Building and tuning complex queries to calculate business metrics (Effective Spread, Last Look Hold Times)

• Training GUI developers and the team on working with data, acting as a subject matter expert

   

The company offers:

• 15 working days of vacation + public holidays off
• 10 sick days
• Medical insurance compensation
• Equipment

OTP Bank Україна — один з найбільших українських банків зі 100%-им іноземним капіталом, визнаний лідер фінансового сектору країни, член європейської фінансової групи, що працює в 11 країнах.

Ми шукаємо DevOps Engineer

Наш кандидат має:

• Досвід роботи від 2 року.
• Досвід роботи з *Nix.
• Досвід роботу з Docker.
• Досвід роботи з Gitlab CI та ArgoCD.
• Досвід роботи з моніторингом (grafana stack prefered).
• Досвід роботи з K8s.

Буде плюсом:

• Досвід з Cloud (Azure prefered), Apache Kafka, Hashicorp Vault, Rancher.

Основні обов’язки:

• Супроводження CI/CD процесів.
• Супроводження кластерів K8s та їхніх сервісів.
• Супроводження Kafka.
• Супроводження моніторингового стеку.

З нами Ви отримуєте:

• Гідний рівень заробітної плати, що виплачується 2 рази на місяць.
• 28 календарних днів відпустки, оплачувані лікарняні.
• Гібридний формат роботи.
• Щорічний перегляд заробітної плати.
• Є бронювання.
• Навчальні програми, семінари, тренінги, читацький клуб, курси англійської мови тощо.

Ми у соц. мережах:

https://www.otpbank.com.ua/

https://www.facebook.com/otpbankua/

Дякуємо за Ваш інтерес до нашої вакансії. У разі позитивного рішення ми з Вами зв’яжемось протягом 14-ти днів. Якщо протягом цього часу Ви не отримаєте відповідь на Ваше резюме, не засмучуйтесь — це означає, що зараз ми не можемо запропонувати відповідну вакансію, але зберегли Ваше резюме у нашій базі кадрового резерву. Якщо в майбутньому вакансія з’явиться, ми запропонуємо Вам розглянути її.

Це оголошення не є рекламою!

Middle/Senior Data Engineer / SQL Developer

Задачі, над якими потрібно буде працювати

• SQL-розробка та робота з базами даних: розробка складних SQL-запитів, процедур, представлень та інших об’єктів бази даних для аналітичних систем.
• аналіз і оптимізація продуктивності запитів, робота з індексами, планами виконання, партиціонуванням і великими обсягами даних.
• побудова Data Pipelines: проєктування, розробка та підтримка надійних ETL/ELT-процесів для завантаження, трансформації та передачі даних між різними системами.
• оркестрація пайплайнів за допомогою Apache Airflow та dbt.
• розробка на Python: створення Python-скриптів і сервісів для обробки, перевірки, трансформації та передачі даних. Інтеграція з базами даних, REST API та зовнішніми джерелами.
• моделювання даних: проєктування схем і моделей даних для аналітичних систем, Data Warehouse та Data Lake. Побудова і підтримка шарів staging, intermediate та marts.
• оптимізація та підтримка: рефакторинг і підвищення продуктивності наявних SQL- та Python-розробок, усунення технічного боргу, аналіз проблем у процесах завантаження та обробки даних.
• якість і надійність даних: реалізація перевірок Data Quality, валідації даних, логування, моніторингу та обробки помилок у data pipelines.
• аналітична звітність: підготовка структурованих наборів даних і моделей для побудови аналітичних дашбордів та звітності.

Які навички стануть у нагоді

Загальний досвід:

• від 2 років досвіду у сфері Data Engineering
• SQL-розробки або Python-розробки для задач обробки даних.

Практичний досвід роботи з PostgreSQL.

• досвід оптимізації SQL-запитів, роботи з індексами та великими таблицями.
• досвід створення та підтримки views, functions, procedures та інших об’єктів бази даних.

Python для Data Engineering:

• впевнене володіння Python для задач обробки та передачі даних.
• робота з форматами JSON, CSV, Excel, Parquet та іншими форматами даних.
• написання підтримуваного, модульного та тестованого код
• розуміння ООП, exception handling, logging та configuration management.
• досвід роботи з pandas, SQL-конекторами, REST API та зовнішніми джерелами.

Apache Airflow:

• практичний досвід створення та підтримки DAG.
• оркестрація ETL/ELT-процесів.
• налаштування dependencies, scheduling, retries та timeout.
• робота з Airflow Connections, Variables та Secrets.
• моніторинг і troubleshooting помилок у pipeline.
• розуміння принципів idempotency та безпечного повторного запуску процесів.

dbt:

• практичний досвід створення та підтримки dbt models.
• Робота з sources, ref, tests, snapshots і seeds.
• Використання Jinja та macros.
• Розуміння incremental models.
• Побудова data lineage та технічної документації.
• Досвід організації staging, intermediate та marts layers.

API та інтеграції:

• досвід інтеграції з REST API та налаштування обміну даними між інформаційними системами.
• розуміння принципів авторизації, обробки відповідей API, pagination, retries та error handling.
• буде додатковою перевагою

Буде додатковою перевагою

• розуміння принципів Data Warehouse, Data Lake, ETL/ELT, OLTP та OLAP.
• знання dimensional modeling, Star Schema та Snowflake Schema.
• досвід роботи з NoSQL-базами даних.
• досвід роботи з Git, branching strategy та code review.
• розуміння або практичний досвід налаштування CI/CD.
• досвід контейнеризації за допомогою Docker.
• досвід роботи з хмарними платформами AWS, Microsoft Azure або Google Cloud Platform.
• розуміння принципів Data Quality, Data Validation, monitoring та logging.
• базове розуміння можливостей AI, ML та LLM для автоматизації процесів обробки й аналізу даних.