Senior Data Engineer

Project overview

– Proven experience as a Senior Data Engineer delivering production-grade data pipelines

– Strong SQL skills: complex transformations, relational modelling, query-plan analysis and optimisation

– Hands-on experience with graph databases and knowledge graphs, including ontology and entity/relationship modelling

– Practical experience designing NoSQL data models (partitioning, indexing, consistency trade-offs)

– Strong Python skills (or equivalent) for orchestration, transformation and testing

– Experience building reusable pipeline frameworks across multiple sources or domains

– Good understanding of batch and event-driven processing, incremental loads, idempotency and backfill strategies

– Experience with structured and unstructured data, including document content and metadata

– Solid knowledge of data quality, schema evolution, lineage and data lifecycle management

– Experience with cloud data services, orchestration tools, CI/CD and monitoring

– Clear communication and experience working across engineering, architecture and business teams

• Prestigious position at one of the world’s largest banks
• Stable, long-term projects
• Competitive salary with a B2B contract
• Hybrid work (6 days per month from the office in Cracow)
• Private healthcare and multisport card
• Personal growth and development opportunities with the possibility to rotate between projects
• Design, build and run end-to-end pipelines covering ingestion, extraction, transformation, enrichment, validation and publication
• Develop reusable connectors and processing components for structured and unstructured sources (APIs and other interfaces)
• Build reliable pipelines with idempotent writes, deduplication, retries, replay, backfills and recovery from partial failures
• Design incremental and full-load patterns suited to each source’s volume and change behaviour
• Develop SQL data models and transformations, with a focus on integrity and query performance
• Design graph schemas and translate ontology concepts into implementable models, mapping source data to the knowledge graph
• Build graph loading and query patterns that preserve identifiers, relationships, provenance and lineage
• Design NoSQL models around access patterns, and integrate relational, graph and NoSQL stores
• Implement data quality controls, lineage tracking and operational monitoring (throughput, freshness, failure rates)
• Help set standards for security, access control, observability and data lifecycle across pipelines
• Contribute to automated testing, schema migrations, CI/CD and production support
• Work with analysts, architects, engineers and business stakeholders to turn source requirements into technical designs

Project details

• Start: ASAP
• Location: Kraków, PL
• Rate: 163-175 EUR/h