Team Connect is a leading Polish provider of nearshore and offshore IT services, operating since 2008. The company specializes in designing and developing software solutions using Agile and DevOps methodologies, delivering end-to-end services from analysis to implementation. It builds backend, frontend, and mobile applications and is a certified Salesforce partner. Team Connect focuses on high-quality, scalable, and performance-driven systems, serving clients with complex technological needs. Its long-standing market presence and expertise in modern software engineering practices distinguish it within the IT services industry.

Data Engineer (GCP)

Design, implement, and evolve data engineering solutions on Google Cloud Platform, using BigQuery, Cloud Storage, and Pub/Sub. Migrate and rebuild data ingestion and processing pipelines from Oracle/on-premise to GCP, including both batch and streaming flows with data quality, retry, and error-handling mechanisms. You will also support technical analysis, testing, deployment, and post-release verification of production-ready data processing components.

Quick Facts
- Level: Middle Data Engineer

Role Description
- Build and optimize batch and streaming data processing pipelines on GCP
- Design BigQuery data structures and models with performance, scalability, and cost considerations
- Prepare logical and physical models for Oracle, PostgreSQL, and GCP data layers
- Write, analyze, and tune SQL queries (including execution plan analysis)
- Analyze Informatica PowerCenter processes and migrate them to target GCP solutions
- Implement data transformation, validation, and integration logic using SQL and Python when needed
- Perform technical impact/dependency analysis and help align solution specifications
- Prepare unit and integration tests; support system, performance, regression, and UAT testing
- Prepare deployment items, deployment instructions, and perform post-deployment verification
- Diagnose and fix incidents related to data processing and data quality
- Maintain technical documentation and work with code repositories and CI/CD processes (DevOps model)

Responsibilities
- Deliver functioning, tested, and documented GCP data pipelines meeting functional and technical requirements
- Successfully migrate/rebuild Oracle/on-premise processing structures while preserving completeness, consistency, and data quality
- Optimize BigQuery structures and SQL queries for agreed performance, scalability, and resource efficiency
- Implement data exchange mechanisms using Cloud Storage and Pub/Sub according to the target architecture
- Prepare migration elements to replace Informatica PowerCenter Workflows
- Deliver complete documentation, tested results, and documented verification of the solution
- Provide complete code, configurations, deployment instructions, and technical documentation in the repository under CI/CD
- Diagnose and resolve defects in deployed components, including root-cause analysis when required

Benefits
- Long-term collaboration
- Benefits package: Multisport, private medical care, life insurance
- Training budget
- Free English lessons
- Individual support from a dedicated company mentor

<h2 class="font-semibold">Quick Facts</h2><ul><li>Level: Middle Data Engineer</li></ul><h2 class="font-semibold">Description</h2>You will design, implement, and evolve data engineering solutions on Google Cloud Platform, primarily using BigQuery, Cloud Storage, and Pub/Sub. The role includes migrating and rebuilding data ingestion/processing from Oracle/on-premise to GCP, covering both batch and streaming flows with data quality, retry, and error-handling mechanisms.<h2 class="font-semibold">Role Description</h2><ul><li>Develop batch and streaming data processing processes on GCP</li><li>Design BigQuery data structures and models considering performance, scalability, and processing/storage cost</li><li>Create logical and physical data models for Oracle, PostgreSQL, and GCP data layers</li><li>Write, analyze, and tune SQL queries, including execution plan analysis to find bottlenecks for large datasets</li><li>Analyze existing Informatica PowerCenter processes and migrate them to target GCP solutions</li><li>Implement transformation, validation, and data integration logic in SQL and Python when required</li><li>Perform technical analysis, impact/dependency analysis, and participate in aligning solution specifications</li><li>Prepare unit and integration tests; support system, performance, regression, and UAT</li><li>Prepare deployment change sets, deployment instructions, and post-deployment verification</li><li>Diagnose and resolve incidents tied to data processing and data quality</li><li>Maintain technical documentation and work with code repositories and CI/CD under a DevOps model</li></ul><h2 class="font-semibold">Benefits</h2><ul><li>Long-term collaboration</li><li>Benefits package: Multisport, private medical care, life insurance</li><li>Training budget</li><li>Free English lessons</li><li>Individual support from a dedicated company mentor</li></ul>

Data Engineer (GCP)

Design, implement, and evolve data engineering pipelines on Google Cloud Platform, primarily using BigQuery, Cloud Storage, and Pub/Sub. Work on migrating and rebuilding data processing from Oracle/on-premise to GCP, including batch and streaming ingestion, data quality/error handling, and SQL/Python-based transformations. Support technical analysis, testing, deployment, and post-release verification for end-to-end data processing solutions.