Principal Data Engineer

We have an incredible opportunity to join us here at Standard Life as a Principal Data Engineer to join our Digital, Engineering & Delivery team within Pensions & Savings. We're looking for someone with strong experience in data engineering and you'll play a key role in delivering scalable, high-quality data solutions.

• Data Solutions Ownership: Lead and take ownership of key data engineering platforms (e.g., Databricks, Azure) within the organization. Drive strategic initiatives, ensure safe and efficient adoption of data solutions, and provide expert technical guidance and mentorship across the Engineering & Delivery function and partner organizations.  

• Platform Optimization and Automation: Ensure technical implementation aligns with strategic goals, emphasizing automation, scalability, and the integration of security best practices across all data processes. Embed robust engineering practices to optimize cloud data platforms and other infrastructure.  

• Data Engineering Leadership: Directly support key business initiatives where data engineering expertise is critical. This involves owning the roadmap for data platform features and aligning them with business priorities to deliver maximum impact.  

• Cross-Functional Collaboration: Partner with cloud engineers, data scientists, and software engineers to ensure seamless integration of data engineering capabilities into business operations. Provide technical direction on data architecture, system interoperability, and scalable data pipelines.  

• Cloud Platform Expertise: Design, implement, and optimize data infrastructure on cloud platforms (e.g., Azure) for scalable, high-performance data management. Oversee the integration and processing of large, diverse datasets to support operational and analytical workloads. 

• In depth knowledge of CICD pipelines for data engineering processes to ensure seamless deployment, testing and automation.  

• Extensive experience as a Data Engineer, with deep expertise in cloud platforms (Azure, AWS, or Google Cloud) and data engineering services.   

• Proven leadership experience, with the ability to mentor and guide engineering teams, manage cross-functional collaboration, and engage senior stakeholders.  

• Expertise in designing and optimizing data architectures, pipelines, and platforms (e.g., Databricks). 

• Advanced proficiency in data engineering programming languages including  Python, Scala and SQL.