Senior Data Engineer (Databricks)

RemoDevs is seeking a highly skilled Senior Data Engineer to join a long-term project within the financial services sector. You will be responsible for building and maintaining robust, scalable data solutions, leveraging your expertise in Databricks to drive data-driven decision-making in a complex enterprise environment.

Key responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize complex ETL/ELT processes for large-scale data processing.
• Develop advanced data transformation solutions using PySpark, Python, and SQL.
• Implement and optimize Delta Lake architectures to ensure high performance.
• Collaborate with architects and stakeholders to ensure data security and governance.

Requirements

• Minimum 5 years of commercial experience in Data Engineering.
• At least 3 years of hands-on experience working with Databricks.
• Strong practical knowledge of Apache Spark, PySpark, and advanced SQL.
• Solid understanding of Lakehouse architecture and data modeling principles.
• English proficiency at a C1 level for effective professional communication.

What we offer

• Opportunity to work on a long-term, impactful project in the financial industry.
• Full remote work environment with a focus on modern data engineering practices.
• Collaboration with a team of experienced professionals and data architects.
• Exposure to enterprise-grade data platforms and complex data integration challenges.