Cloud Data Engineer (Azure)

📍 Client: european bank
🗣️ Recruitment: phone screen with our recruiter + 1 on-line meeting the with hiring managers
🗺️ Remote work with availability within Central European Time (CET)

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.

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'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

Codzienne zadania

• 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

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)

Must have

• Azure
• SQL
• Python
• ETL
• Data engineering
• Azure Data Factory
• Azure Databricks