Data Engineer

Join a team where Databricks is at the heart of the engineering strategy—and where your work powers large‑scale financial platforms used across global markets

📍 Location: Remote in Portugal

📄 Contract: Full‑time, direct contract with a global technology consulting leader

Our client is a world‑renowned technology consulting company partnering with a major Dutch multinational in banking and financial services. This long‑term program is part of a data and cloud modernization journey centred on Databricks, scalable architectures and high‑quality data products. You will join an international engineering environment dedicated to transforming complex data into reliable, governed and business‑critical assets.

Responsibilities

• Build, optimize and maintain end-to-end Databricks pipelines, ensuring performance, reliability and scalability.
• Apply Medallion Architecture principles to design structured, maintainable and production‑ready data layers.
• Develop distributed processing solutions with PySpark, aligned with best engineering practices.
• Design and orchestrate workflows using ADF and Airflow, improving automation and observability.
• Contribute to the evolution of Databricks Lakehouse standards, performance tuning and cluster optimization.
• Integrate CI/CD practices using Azure DevOps, with automated testing and version control.
• Collaborate closely with data scientists, architects and business stakeholders to operationalize data products and ensure alignment with financial‑sector requirements.
• Support governance, security and documentation across the Databricks ecosystem.

Required Skills

• Strong, demonstrable experience with Databricks as the primary engineering platform.
• Solid understanding of Medallion Architecture and modern lakehouse principles.
• Proficiency in PySpark and distributed processing frameworks.
• Experience with Azure Data Factory, Airflow and workflow orchestration.
• Familiarity with Azure DevOps CI/CD, Git workflows and automated deployments.
• Comfortable working in Agile, collaborative and multicultural environments.

Nice to Have

• Advanced experience with Azure DevOps for pipeline automation.
• Background in data testing or test framework development.
• Exposure to investment banking or financial services data landscapes.

Ready to take the next step?

Apply now and join an international Databricks‑driven project shaping the future of digital innovation in financial services.