Data Engineer with Databricks

Project overview

🔹 For our Client we are looking for Data Engineer with Databricks🔹

Possible location in Poland : 100% remote with occasional visits in one of the offices located in: Poznań, Wrocław

We are seeking an experienced Senior Data Engineer to join the Risk Technology team. The successful candidate will design, develop, and support enterprise data solutions using Databricks, working closely with business and technology stakeholders to deliver scalable, high-quality data platforms and analytics capabilities.

Responsibilities

Design and build data pipelines using Databricks, PySpark, and SQL.

Develop and maintain data models, ETL processes, and reporting datasets.

Optimise data quality, performance, and scalability across the platform.

Collaborate with business users, analysts, and developers to deliver data-driven solutions.

Support cloud-based data architecture, CI/CD, and data governance initiatives.

Mentor junior engineers and promote engineering best practices.

✔️Required Skills:

Strong experience with Databricks and PySpark.

Advanced SQL and data warehousing expertise.

Experience with Azure Data Lake, Azure Data Factory, or similar cloud data technologies.

Knowledge of data modelling, ETL/ELT, and performance optimisation.

Experience working in Agile delivery teams.

✔️Desirable:

Experience within Financial Services, Risk, Regulatory, or ESG technology environments.

Exposure to Power BI, Python, DevOps, and cloud-native architectures.

Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: [contact removed]

Client Code: MM03

Contact person: [contact removed]

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Project details

• Start: 2026-12-01
• Remote: remote
• Location: Poznan, Poland; Wroclaw, Poland, PL
• Rate: 165-165 EUR/h