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

Key responsibilities

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

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)

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

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.

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