About the Role:We are looking for an experienced Data Engineer to join our delivery team working with major financial institutions in Sweden and the Nordics. This role offers the opportunity to help design, build, and evolve secure, scalable, and compliant data platforms supporting analytics, reporting, and data-driven decision-making. You will work in highly regulated environments, contributing to long-lived data platforms built on Databricks, Apache Spark, and Microsoft Azure, with a strong focus on data quality, governance, and operational stability.Key Responsibilities: Design, build, optimize, and maintain data pipelines using Apache Spark and Databricks Develop and deploy ETL / ELT workflows using PySpark and Python Write clean, efficient SQL for complex transformations and analytical use cases Collaborate closely with data analysts, data scientists, and business stakeholders to deliver trusted, well-structured datasets Apply data modeling best practices for batch and streaming workloads Leverage Azure services for data storage, orchestration, and compute Ensure data quality, lineage, security, and compliance in a financial services context

Contribute to solution design and architecture, participate in code reviews, and engage in Agile ceremonies

Requirements: Strong, hands-on experience with Apache Spark (advanced level) Solid experience with Databricks, PySpark, Python, and SQL Practical experience working with Microsoft Azure (data-related services) Good understanding of data modeling and data warehousing principles Experience working with financial data or other regulated domains is highly valued Strong communication skills and ability to work with both technical and non-technical stakeholders Comfortable working in distributed, cross-functional teams Nice to Have: Experience with Delta Lake, Unity Catalog, or Azure Synapse Familiarity with data governance, security, and compliance standards (e.g., GDPR, FCA) Exposure to CI/CD, Git, or workflow/orchestration tools (e.g., Azure Data Factory)

Knowledge of data quality frameworks (e.g., Great Expectations)

What We Offer: Opportunity to work with leading Swedish and Nordic financial institutions Long-term, high-impact projects focused on core data platforms Modern cloud and data technologies in production environments Collaborative, pragmatic, and inclusive team culture Flexible working model with strong support for remote work