You will be responsible for the development, maintenance, and optimization of data processing solutions within the Client Contribution platform.

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Key responsibilities

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- Designing and developing ETL/data transformation processes, implementing and maintaining Spark-based pipelines, supporting data integration initiatives, analyzing and troubleshooting data-related issues, and ensuring data quality and performance across the platform.

- The role requires hands‑on experience with Spark, SQL, (with Scala Python or Java), Databricks or similar Big Data environments, and DevOps practices.

- The candidate should be comfortable working in Agile teams, collaborating with functional and technical stakeholders, analyzing requirements, and contributing proactively to the continuous improvement of data solutions.





Mandatory skills

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- 3+ years of experience in data and programming

- Good SPARK basis + programming language that could be: Scala, Python or Java

- Azure Databricks / Amazon EMR / Hive / Cloudera (or any Spark environment)

- Experience in reporting with Qlik Sense

- Experience working in agile continuous integration/DevOps paradigm and tool set (Git, GitHub, Sonar, Nexus) xqbhyrx

- Ability to work in a team

- Ability to analyse requirements and cooperate with team members to improve it

- English (at least B2+)

Nice to have skills

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- Interest in leveraging AI‑assisted development tools and exploring AI‑driven approaches to improve data engineering, automation, and analytics processes will be considered a plus.

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📌 Big Data Developer (España)
🏢 ConSol Partners
📍 España