Senior Data Engineer

Senior Data Engineer

Are you passionate about transforming raw data into powerful insights that drive real business decisions Do you thrive at the intersection of cutting-edge technology, AI innovation, and large-scale data engineering If so, we have an exciting opportunity for you to make a meaningful impact on a global scale.

About the Role

As a Senior Data Engineer, you will be at the heart of our ambition to become a truly data-driven organisation. You will design and deliver best-in-class data engineering capabilities, architect scalable solutions on modern cloud platforms, and help democratise data for business stakeholders and customers alike. This is a role for someone who embraces AI-assisted development, loves solving complex problems, and is energised by working in a fast-paced, collaborative, global environment.

Key Responsibilities

• Drive end-to-end analytics delivery - design, develop, and implement analytics models and visualisations that provide actionable, business-ready data insights
• Collaborate with stakeholders - work closely with Product Owners and Architects to understand requirements, formulate solutions, and evaluate implementation effort
• Build scalable data pipelines - design, develop, and maintain robust transformation logic using Python/PySpark, SQL, and modern analytics platforms such as Palantir Foundry
• Leverage AI technologies - utilise Palantir AIP and generative AI to enhance analytics solutions, automate workflows, and improve user experiences where appropriate
• Champion AI-assisted development - apply tools such as GitHub Copilot or equivalent to improve development efficiency while upholding high engineering standards
• Optimise Spark-based solutions - oversee architecture design and performance tuning of Spark-based data solutions at enterprise scale
• Set engineering standards - define and drive the adoption of best practices, coding standards, and quality frameworks across the team
• Innovate and prototype - evaluate new platform capabilities, develop prototypes, and draw conclusions on their applicability to the solution landscape
• Mentor and lead - provide knowledge, guidance, and technical leadership to a team of developers in an agile, collaborative environment
• Stay ahead of the curve - continuously track emerging data engineering tools, frameworks, and industry trends, driving innovation within the team
• Deliver as a global team - collaborate across a globally distributed development team to design and deliver impactful solutions

About the Team

The L&H Data & Analytics Engineering team is a key technical partner for our Life & Health (L&H) Reinsurance division, supporting the transformation of the data landscape and the creation of innovative analytical products and capabilities. We are a large, globally distributed team operating in an agile development environment, delivering solutions that make better use of reinsurance data and enhance data-driven decision-making across the entire business value chain. Joining this team means being part of a dynamic, forward-thinking group that values collaboration, continuous learning, and technical excellence.

About You

You are a curious, driven, and technically sharp data engineering professional who thrives on solving complex big data challenges using leading-edge technologies. You have a clear ability to learn and adopt new tools quickly - particularly in AI, modern analytics platforms, and cloud-native data engineering. You are a self-starter who takes ownership of solutions from inception to delivery and communicates effectively across technical and business audiences. You bring a collaborative mindset, a passion for engineering excellence, and the ability to lead and inspire those around you.

We are looking for candidates who meet these requirements:

• 9+ years of experience designing and developing large-scale software systems, with a strong focus on platforms such as Palantir Foundry and Azure Databricks
• Proficiency in Python/PySpark and SQL, including experience designing performant queries, data models, and dimensional modelling/data warehousing concepts
• Hands-on experience with enterprise data platforms and distributed computing (Spark/Hive/Hadoop), working with large datasets in Cloud environments such as AWS or Azure
• Experience leading an Agile development team, with familiarity in agile software delivery practices and collaborative development using Git
• Bachelor's degree or equivalent in Computer Science, Data Science, or a related discipline, combined with the ability to work effectively in a global, multicultural environment

These are additional nice to haves:

• Proficiency in full-stack design and implementation on Palantir Foundry, Databricks, Microsoft Fabric, or Snowflake
• Spark performance and optimisation expertise at scale
• Experience using Palantir AIP or other AI/LLM frameworks to develop analytics applications
• Experience integrating Large Language Models (LLMs) into analytics workflows
• Knowledge of the Insurance domain, Financial Industry, or Finance functions in other industries

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.