Data Engineer

October 19, 2026

Middle

Lisboa

Indeed

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English is required

Description

The Europe Data Team is a cross-country, multidisciplinary group responsible for data capabilities across European markets, delivering data pipelines, reporting and governance. The Data Engineer designs, builds and maintains the data pipelines and platform components that power the European analytics platform based on Microsoft Azure and Databricks. The role turns business requirements into reliable, well-tested data solutions and supports the daily run of production data processes.

Responsibilities

Design and develop data pipelines on Databricks to ingest, transform, and deliver data
Integrate multiple data sources into a unified data platform
Contribute to data modelling and the optimisation of data structures
Support platform evolution aligned with cloud architecture (e.g., Azure / Databricks)
Deliver new data requests, bug fixes, and improvements to existing processes within agreed priorities
Build and maintain business-facing pipelines and data products, from requirement through to production
Contribute to the migration of legacy processes to Databricks
Engage with business stakeholders where needed to clarify requirements
Ensure data quality, consistency, and performance of pipelines
Support the daily run of production batches, monitoring and troubleshooting issues to ensure timely resolution
Identify improvements in pipeline performance, cost, and reliability
Execute data deployments following defined processes, ensuring accuracy and smooth releases
Collaborate with Data Analysts and the Data Product Manager to deliver data solutions
Participate in peer code reviews and follow the engineering standards defined by the team
Document technical solutions and contribute to shared team knowledge
Contribute to the continuous improvement of data processes, standards, and platform evolution

Requirements

Hands-on experience with Databricks is a must, including Spark/PySpark, Delta Lake, and job orchestration
Good understanding of data modelling (star schema) and ETL/ELT processes
Advanced experience with SQL for querying, transformation, and troubleshooting
Experience with Python for data engineering
Experience with Azure Data Factory or equivalent orchestration tooling
Familiarity with version control and deployment practices for data pipelines (e.g., Git, Azure DevOps)
Ability to understand business needs and translate them into technical requirements
Strong communication skills, able to work effectively with analysts and business teams
Experience in Data Engineering or Data & Analytics roles (3+ years)
Experience in analytics and reporting, ideally within the insurance industry
Bachelor's or master's degree in Computer Science, Engineering, Mathematics, or a related field
Fluent in English, both spoken and written