Jobs Data Engineer

Client

Our client is a U.S.-based company specializing in services for the reverse mortgage market.

Project overview

The project focuses on advancing the capabilities and efficiency of the reverse mortgage market system through the development of new modules and features, system enhancements, and its migration to contemporary technologies.

Position overview

We are seeking an experienced UiPath Robotic Process Automation (RPA) Engineer to design, develop, implement, and support scalable enterprise automation solutions that improve operational efficiency and reduce manual effort.

The role involves collaborating with business stakeholders, Business Analysts, solution architects, and development teams to deliver secure, maintainable UiPath solutions. The engineer will contribute to the organization’s digital transformation by developing RPA solutions aligned with enterprise architecture, governance, security, and compliance standards.

Responsibilities

• Design, develop, test, deploy, and maintain UiPath automation solutions.
• Analyze business processes to identify automation opportunities and recommend optimal RPA solutions.
• Develop reusable automation components and frameworks following enterprise standards.
• Integrate UiPath solutions with web applications, desktop applications, APIs, databases, and enterprise systems.
• Build attended, unattended, and scheduled automation workflows.
• Partner with Business Analysts and business stakeholders to understand functional and technical requirements.
• Participate in process discovery workshops and automation assessments.
• Prepare solution design documents and technical specifications.
• Provide effort estimates and implementation recommendations.
• Develop automation using UiPath Studio and UiPath Orchestrator.
• Create reusable libraries, workflows, and custom activities when appropriate.
• Integrate with REST APIs, SQL databases, file systems, email platforms, and cloud services.
• Develop robust exception handling and logging mechanisms.
• Perform unit testing, system testing, integration testing, and provide support during user acceptance testing.
• Resolve automation defects and optimize existing bots.
• Ensure automation meets performance, security, and compliance standards.
• Participate in peer code reviews and technical walkthroughs.
• Deploy automation packages through UiPath Orchestrator.
• Monitor bot execution and troubleshoot production issues.
• Support scheduled automation jobs and production releases.
• Participate in production support and incident resolution.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• 3–7 years of software development or RPA development experience.
• 2+ years of hands-on experience with UiPath Studio and UiPath Orchestrator.
• Strong understanding of RPA development principles and best practices.
• Experience integrating automation solutions with REST APIs, SQL databases, file systems, email platforms, and cloud services.
• Experience with exception handling, logging, testing, debugging, and production support.
• Understanding of enterprise architecture, security, governance, and compliance standards.

Company Description

Are you a Senior Data Engineer passionate about building scalable, high-performance data platforms and working with modern Lakehouse technologies? Join Sigma Software’s Data Engineering Center of Excellence and contribute to the modernization of an enterprise-scale analytics ecosystem for the retail domain.
We are looking for a Senior specialist with strong Databricks, PySpark, and cloud data engineering expertise to participate in the migration of a large-scale analytical platform from BigQuery to Databricks. You will collaborate with international teams, contribute to architectural decisions, and help shape reliable and scalable data solutions.
We at Sigma Software create opportunities for continuous learning, technology growth, and meaningful engineering impact while working on complex international projects.

CUSTOMER

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.

PROJECT

The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.
As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.

Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity Catalog

Job Description

• Participate in the migration of a large-scale analytical platform from BigQuery to Databricks
• Design and implement scalable Lakehouse architectures using Databricks and Delta Lake
• Analyze existing ETL / ELT workloads and define migration approaches
• Develop and optimize data pipelines processing large volumes of retail and analytical data
• Implement incremental processing strategies and scalable transformation frameworks
• Build and maintain Spark-based data processing solutions using PySpark
• Design and maintain medallion architecture layers including Bronze, Silver, and Gold
• Implement data governance and security best practices using Unity Catalog
• Collaborate with Data Science, Analytics, Product, and Customer Engineering teams
• Participate in architecture discussions and technical solution design
• Develop reusable data platform components and engineering standards
• Conduct code reviews and contribute to platform reliability and maintainability
• Troubleshoot and optimize complex SQL and Spark workloads
• Support production deployments and platform modernization activities

Qualifications

• 5+ years of professional experience as a Data Engineer
• Strong programming skills in Python and advanced SQL
• Hands-on commercial experience with Databricks
• Strong knowledge of Apache Spark, primarily PySpark
• Experience designing and building modern cloud-based data platforms
• Experience developing ETL / ELT pipelines and large-scale data processing solutions
• Hands-on experience with Delta Lake
• Experience with Spark Declarative Pipelines
• Experience with cluster monitoring, metrics analysis, and performance optimization
• Strong understanding of distributed data processing architectures
• Solid understanding of data warehousing concepts and dimensional modeling
• Experience with Airflow or similar orchestration tools
• Experience optimizing complex analytical SQL workloads
• Experience implementing CI / CD practices for data engineering platforms
• Strong troubleshooting and performance optimization skills
• Ability to work collaboratively in cross-functional international teams
• Upper-Intermediate or higher English level

WILL BE A PLUS

• Experience working with GCP cloud services
• Experience with AWS or Azure cloud platforms
• Experience in retail analytics or pricing optimization domains
• Experience supporting machine learning or AI-related data workloads
• Experience with platform modernization and cloud migration initiatives

Additional information

PERSONAL PROFILE

• Strong analytical and problem-solving mindset
• Proactive and ownership-driven approach
• Ability to work independently and collaboratively
• Good communication and stakeholder collaboration skills
• Passion for scalable data engineering and modern data platforms
• Interest in continuous learning and technology innovation

On behalf of our client, we are looking for a Senior Ceph/Rook-Ceph + Kubernetes Storage Engineer

Requirements:

- 5+ years of experience in DevOps, SRE, infrastructure, or storage engineering

- Deep hands-on production experience with Ceph

- Strong experience with Rook-Ceph and Kubernetes storage/CSI

- Solid Kubernetes and Linux administration skills

- Experience with Ansible and Helm

- Monitoring with Prometheus and Grafana

- Strong troubleshooting skills across storage performance, latency, disk failures, networking, and recovery

- Good understanding of CRUSH topology, failure domains, replication, and storage architecture

- Good English communication skills

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

About This Role:

We're looking for a Senior, dbt-specialised Analytics Engineer to build and maintain the business-critical data models behind the client's credit, payments, and fraud/AML reporting. Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

Key Responsibilities:

• Build and maintain business-critical dbt data models.
• Model data powering credit, payments, and fraud/AML reporting (working from aggregated/modeled data, not raw access to real customer/transaction data — see note above).
• Apply strong SQL and data-modelling skills.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Experience with dbt.
• Strong SQL and data-modelling skills.
• Experience building and maintaining business-critical data models for credit, payments, and fraud/AML reporting.
• BigQuery — the client's stated primary data warehouse for data platform and analytics workloads.
• Experience with fintech domain. 

Nice-to-Have Skills:

• Git — standard, expected tooling, but not explicitly named in the RFP for this role.

Join Zutobi - a fast-growing global edtech company revolutionizing driver education!
At Zutobi, we're on a mission to empower people through digital learning. Our flagship product, Zutobi Drivers Ed, helps millions of learners prepare for their driver's license exams through engaging and innovative learning experiences.
 

Our team is growing, and we're looking for a DevOps Engineer to join our existing DevOps team and help us scale our infrastructure, improve automation, and keep our services reliable as we grow. 

We use Kubernetes (GKE) as our primary platform, so hands-on experience is a plus - but if you're strong on the fundamentals and eager to learn, we'll get you up to speed.
 

What you'll do:

• Build, optimize, and maintain CI/CD pipelines to streamline development and deployment.
• Monitor and improve system reliability, scalability, and security.
• Automate cloud infrastructure management and configuration.
• Collaborate with developers to design and implement infrastructure best practices.
• Troubleshoot and resolve infrastructure-related issues, owning problems end to end.
• Ensure high availability and performance of our production environments.

What we're looking for:

• 2+ years of experience in DevOps (or 3+ years in SysAdmin) - comfortable owning tasks independently, not just executing tickets.
• Strong Linux skills: scripting (bash), monitoring (Prometheus, Grafana, Zabbix), log analysis, database management, backup and restore.
• Solid hands-on experience with Docker.
• Understanding of security best practices and infrastructure automation.
• English level: B2+ (we work in an international environment).

Nice-to-have: 

• Experience with Google Cloud / GKE (our primary platform), or AWS.
• Kubernetes, Terraform, Helm.
• CI tooling: GitLab CI, GitHub Actions.

💙 What we offer

• Culture: Empowering, ’Bottom Up’ culture valuing initiative, collaboration, and continuous learning, aligned with values of Safety, Simplicity, Modernity, Encouragement, Helpfulness, and Accountability.
• Impact & Growth: Work with an industry-leading product (250,000+ monthly users, 10M+ downloads).
• Innovation: Freedom to innovate and utilize expertise in a company that encourages ideas and initiative.
• Work Flexibility: Remote work with flexible 40-hour/week schedule, accommodating team meetings and collaboration.
• Vacation: 20 business days (4 weeks) annual leave.
• Sick Leave: 20 business days (4 weeks) annual sick leave.
• Holidays: Ukrainian public holidays are default days off.
• Learning & Development: Reimbursement for development courses/training, fostering a continuous professional development culture where employees seek opportunities and managers coach teams.

At TechBiz Global, we provide recruitment services to top clients across our portfolio. We are currently looking for an experienced AVEVA Developer to join one of our clients’ teams. If you are seeking an exciting opportunity to grow in an innovative industrial environment, this could be the perfect fit for you.
 

Responsibilities

•Development, configuration, and maintenance of applications based on the AVEVA System

Platform (InTouch, Application Server, Historian)

• Creation and further development of HMI visualizations, scripts, and templates

• Integration and configuration of I/O servers, communication drivers (e.g., OPC UA/DA), and

interfaces to higher-level systems (MES/ERP)

• Fault analysis, troubleshooting, and system optimization during ongoing production operation

• Performing software updates, migrations, and system backups

• Documentation of system changes in accordance with internal quality standards

• Close collaboration with Production, Maintenance, and IT

• Support during the commissioning of new plant components

• Taking on Second Level Support for complex faults and escalations

Job requirements

• Experience with AVEVA System Platform / Wonderware
• Knowledge of InTouch and Application Server
• Experience with SQL and VBScript
• Understanding of industrial communication protocols
• PLC programming knowledge is an advantage
• Slovak and English are mandatory
• German is an advantage
• Willingness to work early and late shifts

• Willingness to participate in on-call duty

   

What We Offer

• Competitive salary
• Shift and on-call allowances
• Professional development opportunities
• AVEVA certification support
• Structured onboarding

Data is at the core of every product decision we make. In this role, you’ll help shape and scale the data ecosystem behind products used by millions of users across international markets. You’ll work on high-volume data platforms, build reliable pipelines, and create the foundation that enables analytics, business intelligence, and data science teams to make fast, data-driven decisions. This is an opportunity to solve complex engineering challenges, optimize large-scale data systems, and directly influence the way data powers our products and business growth

In this role, you will
 

• Design and develop scalable, cloud-native data architectures in BigQuery, ensuring optimal performance, maintainability, and cost efficiency
• Build, automate, and maintain ETL/ELT pipelines using modern data stack tools and custom solutions
• Create and optimize business-critical data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights
• Implement data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability
• Continuously improve performance, scalability, and cost efficiency of production data infrastructure
• Partner closely with Data Science teams to build reliable data services, infrastructure, and pipelines supporting machine learning and advanced analytics initiatives
• Collaborate with product, analytics, and engineering teams to define and deliver scalable data solutions across the organization
  
  It’s all about you
   
• 3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets
• Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design
• Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices
• Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management
• Strong SQL skills with the ability to write and optimize complex analytical queries using Google SQL
• Proficiency in Python and data processing libraries such as Pandas and PySpark
• Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts
• Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows
• Strong understanding of monitoring, logging, data validation, and production-grade data quality practices
• Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment
• Strong communication and collaboration skills with both technical and non-technical stakeholders
• Understanding of product metrics, experimentation frameworks, and data-driven decision making
• 2+ years of previous Software Engineering experience
• Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs
• Experience integrating data platforms with BI tools such as Tableau or Looker
  
  Would be a plus
   
• Familiarity with supporting machine learning workflows and data infrastructure for Data Science teams
• Experience working with AI-powered development tools, including Claude Code, Claude Agents, or similar AI-assisted engineering solutions
  
  What we offer
• Care and support: 
• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Maternity Recovery Support Allowance
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   
• Comfortable working environment:
• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
  
  Investment in your future:
• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   
• Hiring process
• Intro call
• Technical interview
• Final  interview
• Reference check
• Offer
   

We're looking for a Senior Data Platform Engineer to architect and operate data infrastructure across the client's hybrid cloud (AWS + GCP). 

Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally.

The client is currently in an AI transformation phase, transitioning to Agentic AI Development, and is seeking a Senior Data Platform Engineer to support this transformation. They run a hybrid cloud setup: AWS-first overall, with GCP (BigQuery as primary data warehouse) for data platform and analytics workloads. The Data Platform Engineer will set up and maintain the data infrastructure (data lakes, pipelines, IAM, observability, cost optimisation) that Data Engineers then use to operate on data. Work is expected to be a mix of existing codebase and new functionality.

Responsibilities:

• Architect and operate data infrastructure across hybrid cloud (AWS + GCP).
• Design data lakes; orchestrate pipelines (e.g. Airflow).
• Manage IAM/access management and cost optimisation.
• Maintain observability across the data platform.
• Work with both BigQuery and AWS data lake patterns (Athena, S3, Glue).
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.

• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

   

Requirements:

• Hybrid cloud: AWS and GCP.
• Data lake design.
• Orchestration, e.g. Airflow.
• IAM/access management.
• Cost optimisation.
• Observability.
• BigQuery and AWS data lake patterns (Athena, S3, Glue).
• Python.

Nice to have:

• Terraform.
• Familiarity with fintech-specific domains such as fraud/AML, transaction monitoring, and regulatory compliance. 

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 looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

You'll be a great fit if you have:

- 3+ years of hands on in data engineering;
- 3+ years of commercial experience with Python;
- Advanced experience with SQL DBs (optimisations, monitoring, etc.);
- Advanced experience with PySpark;
- Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
- Familiar with AWS infrastructure (boto3, S3 buckets, etc);
- Experience working with large volumes of data;
- Understanding the principles of medallion architecture.

Would be a plus:

- Cassandra/Scylla
- PostgreSQL
- Pandas
- Experience with Kafka and Redis

What you'll do:

- Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
- Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
- Proactively identify bottlenecks and suggest technical improvements.

We ensure your growth with:

- Working in a fast-growing company;
- Great networking opportunities with international clients, challenging tasks;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

About the Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Senior Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities:

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

Required Qualifications:

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

Desired Skills:

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.

About the Project
Our client operates community and specialty hospitals, a managed care organization, a physician network, community health centers, and home care and other health-related entities in the United States. The Research Portal — one of the internal products — is a web-based application with over 10,000 current users developed for the entire research community to review, monitor, and manage research portfolio. The main goal is to unite distributed and complex organizational processes into one application and help alleviate administrative burdens. 
 

Skills & Experience

• 5+ years of professional experience in data warehouse development.
• Strong hands-on experience with: T-SQL, stored procedures, query performance tuning, and indexing strategies.
• Proven experience building and maintaining ETL pipelines with SSIS (SQL Server Integration Services).
• Solid understanding of dimensional modeling (star/snowflake schemas), slowly changing dimensions, and data warehouse design best practices.
• Experience with source-to-target mapping, data quality checks, and reconciliation processes.
• English — Upper Intermediate or above.
   

Nice to have

• Familiarity with Azure data services (Azure SQL MI, IR, Data Factory, SSIS, Storage Account, Key Vault) as a migration/modernization path.
• Experience working with healthcare or other regulated/compliance-sensitive data.
• Exposure to CI/CD practices for database and ETL deployments.
   

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using SSIS to move and transform data from operational systems into the data warehouse.
• Design and evolve dimensional models (facts, dimensions, SCDs) that support reporting and analytics needs.
• Write and tune complex T-SQL queries, stored procedures, and views; troubleshoot performance bottlenecks.
• Establish and enforce data quality, validation, and reconciliation processes across the warehouse.
• Collaborate closely with Product Owners, Business Analysts, and backend engineers to translate business requirements into data models and pipelines.
• Document data flows, schemas, and transformation logic to support maintainability and onboarding.
• Serve as an escalation point for data-related production issues; perform root-cause analysis and implement long-term fixes.
• Monitor ETL job health and proactively address failures, latency, and data drift.

Now we are looking for a Data Engineer to join our team, who will design and maintain our data pipelines, integrate with third-party payment systems, and work closely with our data analysts to keep our data ecosystem accurate and efficient.
 

What you’ll do:

• Write Python integrations with third-party payment systems (PayPal, Primer, Solidgate, etc.)
• Design, develop, and maintain data pipelines and ELT/ETL processes for internal DWH
• Ensure the quality of data presented in BI dashboards
• Collaborate with data analysts to troubleshoot data issues and optimize data workflows
   

Who you are:

• At least 2 years of BI/DWH development experience
• Strong hands-on experience writing production-level Python code, including building and maintaining integrations with third-party APIs (REST APIs, authentication/OAuth, pagination, rate limiting, webhooks)
• Hands-on experience integrating with payment/billing platforms such as PayPal, Primer, Solidgate, Stripe, or similar payment gateways
• Experience working with app store billing/reporting APIs (App Store Connect/iTunes, Google Play Console/Billing)
• Proven experience designing, implementing, and maintaining ELT/ETL data pipelines
• Experience working with cloud-native technologies (GCP/AWS)
• Knowledge of database concepts and hands-on experience with SQL
   

Would be a plus:

• Background in enterprise financial reporting and subscription monetization
• Exposure to product and marketing data analytics
• Familiarity with mobile products
• Working knowledge of Airflow
• Bachelor’s/Master’s degree (Computer Science, Mathematics, or equivalent practical experience)
   

We Offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world.
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow.
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special evens.
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events.
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.
• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.
   

Hiring process:

Recruitment Screen 👉 Tech interview 👉 Final interview 👉 Reference Check 👉 Job Offer

We are looking for a Senior Data Engineer to join a strategic marketing technology (Martech) transformation initiative for a large enterprise organization. The project focuses on modernizing the client's marketing data platform, rebuilding data pipelines, and improving marketing attribution across multiple business brands.

As part of a dedicated data engineering team, you will help build a scalable, cloud-native data platform on Google Cloud Platform (GCP), enabling better visibility into marketing performance and supporting data-driven decision making. This is a long-term engagement through the end of 2026, working closely with the client's Data Engineering, Product, and Martech teams.

Responsibilities:

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).
• Build and optimize data models in BigQuery to support analytics and marketing reporting.
• Rebuild legacy marketing data pipelines following modern engineering best practices and enterprise standards.
• Contribute to the development of a canonical enterprise data model and semantic data layer.
• Support the implementation and adoption of DataHub as the enterprise data catalog.
• Develop automated CI/CD pipelines for data engineering workflows and enforce coding and data quality standards.
• Ensure proper data isolation between multiple business brands while enabling consolidated reporting where appropriate.
• Collaborate closely with Product Managers, Martech specialists, Analytics teams, and other data engineers to deliver business value.
• Optimize data processing performance, reliability, monitoring, and cost efficiency.

Required Qualifications:

• 5+ years of experience as a Data Engineer.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Advanced experience with BigQuery.
• Strong SQL and Python development skills.
• Experience designing and implementing modern ELT/ETL pipelines.
• Solid understanding of dimensional modeling, semantic modeling, and enterprise data architecture.
• Experience building production-grade CI/CD pipelines for data platforms.
• Familiarity with Git and modern software engineering best practices.
• Strong communication skills and ability to work within cross-functional teams.
• Upper-Intermediate or higher English.

Nice to Have:

• Experience with marketing technology (Martech) platforms and marketing attribution.
• Hands-on experience integrating: Google Ads, Google Analytics (GA4), Search Ads 360 (SA360), Campaign Manager 360, DV360
• Experience with DataHub or similar data catalog solutions.
• Experience implementing semantic layers for analytics platforms.
• Understanding of multi-brand or multi-tenant data architectures.
• Experience modernizing legacy data platforms and rebuilding pipelines from scratch.

The Defense Procurement Agency (DOT) is a national agency responsible for procuring ammunition, UAVs, military equipment, fuel, food, clothing, and other critical supplies for the Armed Forces of Ukraine and the Defense Forces.

Our mission: Strengthening Ukraine by ensuring reliable support for the Defense Forces while fostering the development of the national defense industry.

Our vision: To become the driving force behind the transformation of Ukraine's defense procurement ecosystem—not only operating the system, but continuously improving it.

We are looking for a Head of Data Governance to establish and lead the organization's enterprise Data Governance function. In this role, you will define the vision, policies, standards, and governance framework for managing data across the organization, ensuring high-quality, trusted, and well-governed data that enables informed decision-making and supports large-scale digital transformation initiatives.

Responsibilities

• Lead the design, implementation, and continuous improvement of the organization's Data Governance framework.
• Develop and maintain enterprise-wide data policies, standards, methodologies, and governance processes.
  Establish and enhance Master Data Management (MDM), Reference Data, Metadata Management, and Data Quality practices.
• Define data ownership, stewardship, governance roles, and accountability across business units.
• Develop data quality standards, monitoring processes, and governance controls.
• Collaborate with business stakeholders, analysts, architects, and engineering teams to define enterprise data requirements.
• Contribute to enterprise data models and integration requirements across corporate information systems.
• Prepare governance documentation, methodologies, standards, and best practices.
• Ensure Data Governance principles are embedded into the implementation of new enterprise systems and digital services.
• Build, lead, mentor, and develop the Data Governance team while driving collaboration across the organization.

Requirements

• Bachelor's degree in Information Technology, Applied Mathematics, Economics, Finance, or a related field.
• Proven experience in Data Governance, Data Management, Business Intelligence, Business Analysis, or related disciplines.
• Hands-on experience implementing or improving Data Governance, Master Data Management (MDM), Data Quality, or Metadata Management initiatives.
• Strong understanding of Data Governance principles, data lifecycle management, and enterprise data architecture.
• Experience developing enterprise policies, standards, governance frameworks, or methodological documentation.
• Experience collaborating with business and technology teams to define and implement enterprise data requirements.
• Understanding of enterprise platforms such as ERP, CRM, BI, Data Warehouse, or similar systems.
• Experience leading teams or coordinating cross-functional initiatives.
• Strong analytical thinking, structured problem-solving, and stakeholder management skills.
• English proficiency at Intermediate level or higher.

Nice to Have

• Experience with SQL, Power BI, or other Business Intelligence platforms.
• Experience implementing Business Glossary, Data Catalog, or Metadata Management solutions.
• Knowledge of DAMA-DMBOK, DCAM, or other Data Governance frameworks.
• Experience supporting enterprise digital transformation programs.

What We Offer

• Meaningful work that directly contributes to strengthening Ukraine's defense capabilities.
• Official employment with competitive salary and full social benefits.
• Professional development, learning opportunities, and career growth.
• Structured onboarding and dedicated mentorship.
• A collaborative, supportive, and mission-driven team.
• Modern office near the metro with reliable internet and equipped shelter.
• Opportunity to establish and scale an enterprise-wide Data Governance function within one of Ukraine's most strategically important organizations.

By joining our team, you will contribute to one of Ukraine's largest digital transformation initiatives in the defense sector and help build the future of defense procurement.

Ready to make a real impact? We'd love to hear from you. Apply today!

* By submitting your CV, you consent to the processing of your personal data in accordance with applicable legislation.

** Due to the high volume of applications, only candidates whose qualifications best match the position will be contacted.