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Data Science

Azure Data Engineer

Verita HR
Valetta
100% zdalnie
Regular
min. 2 lata
Pełen etat
B2B
Wynagrodzenie Jawne widełki
20 000–28 000PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Duży ZUS:
Dziennie: ~663 – 956 PLN
Miesięcznie: ~13 923 – 20 066 PLN
Rocznie: ~167 072 – 240 788 PLN
Mały ZUS:
Dziennie: ~717 – 1 009 PLN
Miesięcznie: ~15 055 – 21 185 PLN
Rocznie: ~180 662 – 254 222 PLN
Zobacz w kalkulatorze wynagrodzeń
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

One of Europe’s banks is undergoing a digital transformation, focusing on cloud technologies and a customer-first approach. The goal is to unlock the full potential of enterprise data using scalable data engineering methods and strong data governance, including quality, metadata, and core management practices.

The Data Office works closely with IT and business teams to build a modern data platform and maintain data pipelines across both cloud and on-prem environments. Data will be a key driver in understanding and meeting customer needs.

We’re looking for someone who gets the fundamentals of Data Engineering - Data Management, DataOps, Security, Architecture, Orchestration and Software Engineering - and knows how to apply them with a focus on scalability, simplicity, agility and cost-efficiency.

What will you do:

  • Build and maintain robust data pipelines (batch, micro-batch, real-time)
  • Work with both structured and unstructured data from diverse sources
  • Transform raw data into trusted, value-adding assets for business use
  • Implement data quality frameworks (validation, profiling, cleansing)
  • Manage storage, metadata and master data for the entire platform
  • Support modern orchestration processes and pipeline automation
  • Ensure systems are scalable, cost-effective, and easy to maintain

02 Wymagania

10 must-have · 1 język

Must-have

JVM
Zaawansowany
Data analysis
Zaawansowany
Azure
Zaawansowany
Python
Zaawansowany
Data Engineer
Zaawansowany
SQL
Zaawansowany
bash
Zaawansowany
ETL
Zaawansowany
Spark
Zaawansowany
Azure Data Factory
Zaawansowany

Wymagane języki

Angielski
Zaawansowany

03 Profil kandydata

Skills:

  • Strong skills in SQL, Python, and Spark
  • Comfortable with JVM languages (e.g. Java, Scala)
  • Experience with CLI environments (bash, PowerShell)
  • Familiar with source code management (Git) and dependency management
  • Hands-on with ETL/ELT processes (batch, micro-batch, real-time)
  • Deep understanding of the data lifecycle
  • Solid experience with data quality (validation, profiling, cleansing & conforming)
  • Working knowledge of data formats and serialization
  • Familiarity with OLTP, OLAP, and NoSQL databases
  • Experience with Azure data platforms
  • Knowledge of data lake architecture and cloud-native tools
  • Skilled in orchestration and distributed systems
  • Experience with MPP frameworks, database management, and change control
  • Confident with logging, debugging, and monitoring data workflows

What's in it for you?

  • Exciting role at a leading European bank
  • 6 months assignment, B2B contract
  • Fully remote work and flexible working hours
  • 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