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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Fidelis - **Location:** London, UK - **Experience:** Expert - **Contract:** Internship / Graduate position - **Skills:** Airflow, Information Engineering, Data Transformation, Data Security, Data Warehousing, Python (Programming Language), Microsoft Data Access Components, Tensorflow, DataOps, Azure Data Factory, Data Lakes, Pyspark, Data Analytics, Performance Monitor, Data Pipelines - **Published:** October 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=84cb27032029a054 ## About the Role * Minimum 5 years of experience as a Data Engineer or related role * Proven experience designing and developing data pipelines * Strong understanding of data quality principles and best practices * Built and maintained data products using the Microsoft Data Stack (Azure Data Factory, Data Lake Storage, Fabric or Synapse Analytics) * Expert-level proficiency in PySpark/Python * Applied experience of DBT, AirFlow, or similar for data transformation and orchestration * Deep understanding of data modeling, warehousing concepts, and the Medallion (Bronze/Silver/Gold) architecture * Excellent organisation and time-management skills, with demonstrated ability to work in a dynamic and fast-paced enterprise level environment * Strong communication skills, both oral and written, with proven ability to influence change * Ability to run and manage change processes efficiently, aligning with other teams as needed * Always maintain a high bar of quality; take pride in doing work well to high standards with attention to detail * Ability to follow and improve processes, and improve your skillsets on an on-going basis * Ability to work independently and as part of a team in a fast-paced, agile and collaborative environment * Strong customer-oriented mindset and ability to develop and maintain stakeholder relationships * Strong motivational and people skills, helping team members to excel in a culture of collaboration and openness * Established leadership skills and experience as a proactive team player * Supporting and building a team culture of security, innovation, efficiency, accountability and initiative, with a focus on process simplification and outcome delivery * Experience of mentoring and managing junior engineers a plus * Familiarity with Machine Learning frameworks a plus ## Description The Actuarial Analytics Development team at The Fidelis Partnership (TFP) builds and manages a bespoke analytical platform that powers our partnership-driven business model. We combine actuarial expertise with advanced technology to deliver innovative, scalable solutions. The Senior Data Engineer is responsible for advancing a programme of change across our evolving Analytics Data Platform. They will deliver projects that underpin essential business functions across Actuarial, including regular portfolio management reporting and ad hoc analysis, allowing TFP to capitalise on its unique business model and market position. Interfacing directly with business stakeholders, they own change end-to-end and influence our long-term roadmap by applying contemporary practices, such as the Medallion framework and Lakehouse architectures, to ensure solutions are scalable, secure, and simple. They will contribute to growth of the analytics data engineering function, driving the maturation of its practices through the application of contemporary and forward-looking technology. This role demands proactivity, accountability, and creativity, with continuous demonstration of high-quality technical output, an innovation mindset, and a constructive critical approach to building robust, modern data products., * Deliver data-oriented change projects under the direction of the Lead Data Engineer * Design, develop, implement, and maintain scalable and secure data pipelines * Share responsibility for BAU enhancement and maintenance of existing data products * Work closely with business stakeholders to understand their needs and translate them into technical solutions * Transform data in Lakehouses and deliver clean, high-quality data for analysis and reporting * Utilize PySpark to transform raw data into high-quality, analysis-ready products * Implement rigorous automated data quality checks and proactive monitoring to ensure clean Data Ops processes * Document code and processes thoroughly to ensure knowledge transfer and maintainability * Work closely with other technology teams (internal and external), tech architects and business owners to refine requirements and translate business needs into IT solutions * Proactively identify bottlenecks in current data platform and continuously implement best practices * Deliver long term technology effectiveness, simplicity of solutions and appropriate controls * Create a supportive and rewarding working environment that aligns with the company culture as well as instilling a sense of ownership, accountability and technical excellence in the engineering team * Develop a thorough understanding of our industry and our products and services * Stay up-to-date on the latest advancements in data engineering technologies and best practices, * Insofar as possible, we aim to ensure the composition of our workforce reflects the make-up of the local community * We have specific programmes in all our offices to support diversity within the hiring process, e.g. internship and scholarship award programmes * This is a particular focus in Bermuda, where we engage actively with local organisations to source diverse talent and provide coaching/mentoring for underrepresented groups * We aim to maintain a focus on equal opportunities across all stages of hiring process * We measure and minimise the pay gap where possible.