Verita HR Polska is a Human Resources service provider operating under number 5694.
We are working as a recruitment provider searching on our Client’s behalf for a person in the following role:
Join the Knowledge Sourcing and Processing team at one of the world’s largest financial institutions and help build the foundations of a global Enterprise Knowledge Platform. You’ll design reusable engineering patterns for ingesting, extracting, transforming and enriching both structured and unstructured data, and turn it into a connected knowledge graph used across many domains. You’ll work at the intersection of data engineering, ontologies and graph technology, with a real say in how the platform’s standards are shaped.
– 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
– 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
michalina.krywult@veritahr.com