Cloud Data Engineer (Azure) | 100% Remote

Dla naszego klienta Verita HR poszukujemy osoby na stanowisko Cloud Data Engineer (Azure) | 100% Remote.

• Client: european bank
• Recruitment: phone screen with our recruiter + 2 on-line meetings 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 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

What We Are Looking For

• 2+ years of hands-on experience as a Data Engineer in cloud environments
• 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)

The Offer

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