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Data Science

Cloud Data Engineer (Azure)

Verita HR
Valetta
100% zdalnie
Regular
min. 2 lata
Pełny wymiar
B2B
Wynagrodzenie Jawne widełki
18 000–22 000PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Duży ZUS:
Dziennie: ~590 – 736 PLN
Miesięcznie: ~12 382 – 15 464 PLN
Rocznie: ~148 580 – 185 564 PLN
Mały ZUS:
Dziennie: ~644 – 790 PLN
Miesięcznie: ~13 515 – 16 596 PLN
Rocznie: ~162 182 – 199 154 PLN
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

This role sits at the heart of a large digital transformation within a European banking institution. Data is treated as a real business asset, not an afterthought. As a Data Engineer, you will help build and run a modern data platform that supports analytics, reporting, and business decision-making across the organization.

You will work on a mix of cloud-based and on-prem solutions, focusing on reliable data pipelines, data quality, and scalable data processing.

What will you do:

  • Building and maintaining end-to-end data pipelines
  • Ingesting data from multiple sources (structured, semi-structured, unstructured)
  • Transforming raw data into clean, usable data sets
  • Implementing data quality rules and validation logic
  • Serving data to business users, analysts, and internal applications
  • Managing storage as a core foundation of the data platform
  • Working closely with technical and non-technical stakeholders
  • Operating in Agile, DataOps and DevOps environments

02 Wymagania

10 must-have · 1 język

Must-have

Zaawansowany
Data Engineer
Zaawansowany
Zaawansowany
Data Management Systems
Zaawansowany
Zaawansowany

Wymagane języki

Angielski
Zaawansowany

03 Profil

Skills:

  • 2 to 4 years of hands-on experience as a Data Engineer in cloud environments
  • Strong SQL skills
  • Practical experience with Python in data engineering use cases
  • Experience with Azure Data Factory and Databricks
  • Good understanding of data pipelines, ETL/ELT and data lifecycle
  • Ability to communicate clearly with both technical and non-technical stakeholders
  • Experience working in Agile teams
  • Cost awareness when designing data solutions
  • Curiosity and willingness to learn continuously

Tech stack you will use:

  • SQL for data processing and analytics
  • Python for transformations and data quality logic
  • Azure Data Factory for ingestion (1-to-1 pipelines)
  • Databricks for transformations and data quality implementation
  • Azure-based data platform services
  • Git or similar source code management tools
  • CLI environments (bash, PowerShell)

What's in it for you:

  • Exciting role at a leading European bank
  • 6 months assignment, B2B contract
  • Fully remote role with availability within Central European Time (CET)
  • Working with cutting-edge IT technologies
  • Personal growth and development opportunities

04 O firmie

Verita HR
80 · Valetta

Verita HR 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.

05 Lokalizacja

Centrum, Valetta
Tryb pracy:
Elastyczne godziny pracy
Godziny pracy biura: 7-18
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie