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Senior Data Engineer (Databricks/PySpark/SQL) - Portugal or Spain Full Remote
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Job Description
Senior Data Engineer (Databricks/PySpark/SQL) - Portugal or Spain Full Remote ABOUT THE OPPORTUNITY Join an international technology environment focused on building modern, scalable data platforms that enable better analytics and business decision-making.
You will contribute to the development of an enterprise Lakehouse platform, working with modern cloud data technologies and collaborating with Data Architects, Analytics teams and business stakeholders.
This opportunity is ideal for a Data Engineer with strong hands-on Databricks expertise who enjoys designing robust data pipelines, improving data quality and delivering reliable data products in a collaborative, Agile environment.
PROJECT & CONTEXT You will design, develop and maintain scalable data ingestion and transformation pipelines on a Databricks-based Lakehouse platform.
Your work will cover the implementation of Bronze, Silver and Gold data layers, integrating data from enterprise systems, APIs and external sources while ensuring performance, reliability, security and data quality.
You will develop processing workflows using PySpark and SQL, implement reusable engineering frameworks and optimise pipelines for scalability and cost efficiency. Working closely with Data Architects, you will translate established architecture standards into practical engineering solutions.
The role also involves supporting data governance, lineage, cataloguing and access management initiatives, while enabling BI and Analytics teams to consume trusted, business-ready data. You will participate in Agile ceremonies and contribute to delivery through Git-based version control and CI/CD practices.
WHAT WE'RE LOOKING FOR (Required) At least 4 years of professional Data Engineering experience . At least 2 years of hands-on Databricks development experience . Strong practical skills in Databricks and PySpark for building and maintaining data processing pipelines. Strong SQL development and optimisation skills.
Experience with Azure Da
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