Barcelona
Contract
Not specified
Mid-Senior level
Salary
Sponsorship
15% more than your current base salary
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Job Description

Data Engineer | Barcelona (Hybrid) | Insurance Sector | ContractI’m currently supporting a leading organisation within the insurance industry that is expanding its data engineering capability to support modern analytics and data platform initiatives. They are looking for an experienced Data Engineer to join a growing team responsible for building scalable data solutions that support reporting, risk analysis, and operational decision-making.This is a hybrid role based in Barcelona, working within an international environment alongside data, analytics, and business teams.The RoleYou’ll play a key part in designing and maintaining data pipelines that enable reliable access to high-quality insurance data across the organisation. The position focuses on improving data availability, supporting cloud migration initiatives, and ensuring strong governance standards across critical datasets.Key Responsibilities• Design and maintain scalable ETL/ELT data pipelines• Develop and optimise SQL and Python-based data processes• Work with cloud data platforms (Azure, AWS, or GCP) to support modern data architecture• Integrate and manage insurance datasets including claims, policy, and risk data• Support data warehousing or lakehouse environments• Ensure data quality, governance, and consistency across platforms• Collaborate with analytics, business, and engineering teams to deliver data solutionsRequirements• Strong experience as a Data Engineer or similar role• Proven experience building data pipelines and workflow automation• Strong SQL and Python development skills• Cloud platform experience (Azure, AWS, or GCP)• Experience working with insurance or financial services data preferred• Understanding of data governance and data quality best practicesWhy Apply• Contract opportunity within a stable insurance environment• Hybrid working model in Barcelona• Exposure to modern cloud data platforms and large-scale datasets• Collaborative international team and long-term programme work

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