Skip to content
getdataengineeringjobs
Back to results

Data Engineer (Scala/Spark)

Inetum
Madrid, Madrid, Spain Posted

Summary

Written in English from the original posting

The role is a hybrid Data Engineer position in Madrid focused on migrating Hadoop infrastructure to cloud services using Kubernetes, Spark, and Airflow. Responsibilities include building and automating data pipelines, implementing data transformation and quality controls, and setting up CI/CD workflows. The role requires Scala, SQL, Spark, Hadoop, and Airflow experience, with English C1.

Job description

Company Description

🚀 Join Inetum – We're Hiring a DATA ENGINEER! 🚀

At Inetum, a leading international digital consultancy, we empower 27,000 professionals across 27 countries to shape their careers, foster innovation, and achieve work-life balance. Proudly certified as a Top Employer Europe 2026, we’re passionate about creating positive and impactful digital solutions.

Job Description

Hybrid work mode in Madrid. This service could imply a willingness to travel occasionally within Italy.

The main responsibilities are:

  • Migrate the existing Hadoop infrastructure to cloud infrastructure on Kubernetes Engine, COS, Spark as a service, and Airflow as a service.
  • Implement data transformation and quality to ensure data consistency and accuracy. Utilize programming languages such as Scala and SQL and tools like Spark for data transformation and enrichment operations.
  • Set up CI/CD pipelines to automate deployments, unit testing and development management.
  • Write and conduct unit and validation tests to ensure accuracy and integrity of code developed.
  • Automate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly).
  • Writing technical documentation (specifications, operational documents) to ensure knowledge capitalization.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Foster a culture of continuous learning and improvement within the team.

Qualifications

Good knowledge of:

  • Spark on Scala
  • CI/CD tools (Gitlab, Jenkins…)
  • HDFS and structured databases (SQL)
  • Apache Airflow
  • S3 storage/COS and parquet (and ORC) format
  • Strong knowledge of SQL and NoSQL databases
  • Hadoop

Full understanding of:

  • Oozie
  • Shell script
  • Software Development Lifecycle (SDLC) awareness
  • Agile principles and ceremonies
  • Design effective prompts to leverage Gen AI tools across IT domains (e.g., development, testing, data generation, documentation) during the development stage.

Some knowledge of:

  • Kubernetes containerization
  • Dremio as tool to virtualize data

Optionally/ as a plus:

  • Elasticsearch and Kibana
  • Streaming process (Kafka, event steam…)
  • HVault

Additional Information

BUSINESS AND TRANSVERSAL SKILLS

  • Knowledge of banking industry and processes
  • Problem-Solving and Decision-Making person
  • Business / IT relationship (including IT OPS)
  • Ability to understand, explain and support change
  • Ability to Deliver / Results driven
  • Ability to collaborate / Teamwork with data squads and business teams


LANGUAGES

  • English level C1
  • Optionally Fench

The weekly Digest

The week's most transparent data engineering jobs in your inbox once a week.

Once a week, a few new jobs that state their salary, location and stack, plus links to the rest. No open tracking; clicks are counted per issue, not per person. Unsubscribe with one click.

Similar jobs

Inetum Apply