Data Engineer

Round 1: Technical interview (coding & conceptual questions) → Round 2: Technical + coding challenge (Databricks & SQL) → Round 3: HR interview

AXA XL promotes a culture of collaboration, continuous learning, and work‑life balance. Employees enjoy flexible working arrangements and opportunities for cross‑functional projects. The organization values diversity and inclusion, fostering an environment where every voice is heard.

Candidates typically face a three‑round interview process: an initial technical screening focusing on data engineering concepts, a second round with a coding challenge on Databricks/PySpark, and a final HR round. The difficulty is moderate, with emphasis on problem‑solving, code optimisation, and understanding of data pipelines. Preparation with coding practice and mock interviews is recommended.

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field. Minimum 60% (or 6.0 CGPA) in the qualifying exam. No backlog allowed. Fresh graduates are welcome. Prior internship or project experience in data engineering or analytics is a plus.

AXA XL, a leading global property and casualty insurer, is part of the AXA Group and is known for its innovative approach to risk management. With a presence in over 100 countries, AXA XL leverages data, technology, and analytics to deliver tailored solutions to mid‑sized companies, multinationals, and high‑net‑worth individuals. The company’s culture is built around agility, inclusion, and a commitment to sustainability, reflected in its "Roots of Resilience" strategy that focuses on protecting natural ecosystems, addressing climate change, and embedding ESG principles into every business function. The Databricks Developer role is a key position within the Global Data Platform (GDP) team of AXA Group Risk Management (GRM). The primary responsibility is to design, develop, and maintain data processing solutions on the Databricks platform, converting legacy applications into modern Python/R and SQL code. The role requires close collaboration with architects, product owners, and data engineering teams to industrialise pipelines, optimise performance, and ensure robust testing and documentation. As part of the GRM tech/data/AI pool, the developer will contribute to the transformation of legacy systems for the 2026‑2027 period and beyond, ensuring that GRM can continue to deliver critical risk management insights. Key responsibilities include: 1. Developing and maintaining data pipelines in Python, R, and SQL on Databricks. 2. Migrating legacy applications to the GDP platform. 3. Optimising code for performance and scalability. 4. Writing unit, integration, and regression tests. 5. Participating in code reviews and enforcing best practices. 6. Documenting technical specifications and user guides. 7. Providing support to end‑users and troubleshooting production issues. 8. Collaborating with cross‑functional teams to align on data governance and quality. 9. Contributing to continuous integration/continuous deployment (CI/CD) workflows. 10. Staying updated on emerging data platform technologies. Tech stack: Databricks, PySpark, Delta Lake, Azure Data Platform, Azure DevOps, Git, SQL, Python, R, Data Quality & DataOps tools. Growth path: Starting as a junior developer, one can progress to Senior Data Engineer, Lead Architect, or Data Science Manager within the GRM data ecosystem, with opportunities to work on global projects and influence risk analytics strategy. Why join AXA XL? The company offers a collaborative, inclusive environment, competitive compensation, and a strong focus on professional development. Employees benefit from flexible working arrangements, a culture that values work‑life balance, and a commitment to sustainability and social responsibility. AXA XL’s reputation for innovation and its global footprint provide a platform for career growth and meaningful impact.