Senior Data Engineer

Senior Data Engineer | Excellent Salary + Bonus + Exceptional Benefits London | 5 Days Onsite | Prestigious Global Specialty Insurer Are you an experienced Senior Data Engineer looking for an opportunity to make a genuine impact within a highly regarded global specialty insurance business? I'm working with a prestigious organisation in the London insurance market that is investing in its technology and analytics capabilities. This is an exciting opportunity to play a key role in the continued development of a sophisticated, bespoke data platform supporting critical actuarial and business decisions. You'll be joining a talented Actuarial Analytics Development team, working with modern technologies to build scalable, secure and high-performing data solutions. The Opportunity This is far more than a traditional data engineering role. You'll have the opportunity to take ownership of projects, influence the future direction of the data platform and work directly with senior stakeholders across the business. Key responsibilities include:

• Designing, developing and maintaining scalable data pipelines and data products.
• Building modern Lakehouse solutions using Medallion architecture.
• Using Python and PySpark to transform complex data into high-quality, analysis-ready datasets.
• Driving improvements in data quality, automation and platform performance.
• Working closely with actuarial and business stakeholders to deliver innovative technical solutions.
• Contributing to the evolution of the data engineering function, introducing best practices and modern technologies.
• Supporting and mentoring junior engineers. What We're Looking For
• 5+ years' experience in Data Engineering.
• Expert-level Python and PySpark skills.
• Strong experience with the Microsoft Azure Data Stack, including Azure Data Factory, Data Lake Storage, Microsoft Fabric or Synapse Analytics.
• Experience with DBT, Airflow or similar orchestration tools.
• Strong knowledge of data modelling, warehousing and Medallion architecture.
• Proven experience building and optimising complex data pipelines.
• Excellent stakeholder engagement and communication skills.
• A proactive, solutions-focused approach with the confidence to challenge existing processes and drive improvements. Experience within insurance or financial services would be advantageous, as would exposure to Machine Learning frameworks.