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Open nowPosted 9 hours agoWe saw it 101 min after it went up

DATA ENGINEER

Inetum1,689 open roles

Where
Madrid, MD, Spain
Work mode
Hybrid
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Your applicationOpen nowDATA ENGINEERInetum · Madrid, MD, Spain

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Inetum's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Inetum postings stay open a median of 25 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 9 hours ago

Inetum median: 25 days open

The posting

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
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