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Data Science

Cloud Data Engineer (Azure)

Verita HR
Valetta
100% zdalnie
Regular
min. 2 lata
Pełen etat
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
Zobacz w kalkulatorze wynagrodzeń
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

Data analysis
Zaawansowany
Azure
Zaawansowany
Python
Zaawansowany
Data Engineer
Zaawansowany
SQL
Zaawansowany
ETL
Zaawansowany
Azure Data Factory
Zaawansowany
Data Management Systems
Zaawansowany
Databricks
Zaawansowany
Cloud
Podstawowy

Wymagane języki

Angielski
Zaawansowany

03 Profil kandydata

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