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Data ScienceNOWE

Senior Data Engineer

Verita HR
Kraków
Hybrydowo
Regular
min. 5 lat
Pełny wymiar
B2B
Dodane dzisiaj
Wynagrodzenie Jawne widełki
28 400–30 500PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Wynagrodzenie przeliczone z:
1 350 – 1 450 PLN/d
Duży ZUS:
Dziennie: ~970 – 1 046 PLN
Miesięcznie: ~20 370 – 21 968 PLN
Rocznie: ~244 441 – 263 618 PLN
Mały ZUS:
Dziennie: ~1 023 – 1 099 PLN
Miesięcznie: ~21 490 – 23 088 PLN
Rocznie: ~257 875 – 277 052 PLN
Zobacz w kalkulatorze wynagrodzeń
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

  • 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

03 Profil

  • 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

04 Oferujemy

Pakiet medyczny
Pakiet sportowy
Kawa / herbata
Zimne napoje
Parking
Parking rowerowy
Strefa relaksu

05 O firmie

Verita HR
80 · Kraków

VeritaHR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition.

Zobacz ogłoszenia Profil firmy Strona www

06 Lokalizacja

Centrum, Kraków
Tryb pracy:
Elastyczne godziny pracy
Godziny pracy biura: 7-20
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie