Data Engineer, Inetum

Inetum

Location:
Spain, Madrid

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Join Inetum as a Data Engineer to lead the design, development, and maintenance of scalable data pipelines and systems. Collaborate with cross-functional teams to deliver solutions and ensure data infrastructure performance and security.

Job Responsibility:

Lead the design, development, and maintenance of scalable data pipelines and systems and guidelines according to the customers’ needs
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Ensure the performance, security of the data infrastructure and the data quality/integrity
Optimize data workflows for performance and efficiency to enrich and transform large volumes of data with complex business rules
Automate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly)
Designing and implementing scalable and secure data processing pipelines using Scala, Spark, Cloud Object Storage (COS)
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
Write technical documentation (specifications and operational documents) to ensure knowledge capitalization
Support the different teams in troubleshoot and resolution of data-related issues
Assure the creation and maintenance of comprehensive documentation of data pipelines, systems, and processes, being accessible to the team members
Effective communication with team members and stakeholders to ensure alignment on data initiatives
Provide technical guidance and mentorship to junior data engineers
Foster a culture of continuous learning and improvement within the team

Requirements:

Spark on Scala
CI/CD tools (Gitlab, Jenkins…)
S3 storage / COS and parque format
Strong Knowledge of SQL and NoSQL databases
Hadoop
Apache Airflow
Shell script
Software Development Lifecycle (SDLC) awareness
Agile principles and ceremonies
Kubernetes containerization
Elasticsearch and Kibana

Nice to have:

HVault
Dataiku
Dremio as tool to virtualize data

Additional Information:

Job Posted:
April 29, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineer