Senior Data Engineer – Standard Life

As a Senior Data Engineer, you will be responsible for designing, implementing, and optimizing data solutions on cloud platforms, with a strong emphasis on Databricks. Beyond analytics, you will help embed data capabilities into core business processes, supporting areas such as operations, digital services, risk management, accounting and actuarial. You will collaborate with cross-functional teams—including data scientists, analysts, product owners, and operational leaders—to ensure data is a trusted, integrated asset powering innovation and business outcomes.

Key Responsibilities:

•    Build and maintain reliable, scalable data pipelines to support digital enablement, reporting, analytics, and data science
•    Work closely with analysts, data scientists, and business teams to understand data requirements
•    Support and optimise our Databricks platform, ensuring it is used efficiently and at scale
•    Develop and maintain ETL/ELT processes to integrate data from multiple systems
•    Identify and fix performance issues in data pipelines and queries
•    Ensure data quality, security, and governance standards are met
•    Create clear documentation for data pipelines and platform design

Profile
•    Hands-on experience with cloud platforms (Azure preferred)
•    Proven experience in Python and SQL
•    Experience building and optimising data pipelines and large-scale data processing systems
•    Good understanding of data modelling and data warehouse design
•    Experience with Databricks or similar modern data platforms