DATA ENGINEER
Madrid, Spain22h ago
Key details
- Location
- Madrid, Spain
- Work style
- Hybrid
- Job type
- Full-time
- Function
- Data & ML
- Focus area
- Data engineering & Analytics
- Posted
- 22h ago
Skills
agileairflowci/cdcontainerizationdata ingestiondata pipelineselasticsearchgitlabhadoopjenkinskafkakibanakubernetesnosqls3scalasdlcshellsparksqltechnical writingunit testing
About the role
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
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.
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