Mission

Hybrid work mode in Madrid

The main responsibilities are

• 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. It is essential to follow the best practice of Data engineering.
• 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.

Profile

Good knowledge of

• Spark on Scala
• CI/CD tools (Gitlab, Jenkins…)
• S3 storage / COS and parque format
• Strong Knowledge of SQL and NoSQL databases
• Hadoop
• Apache Airflow

Full understanding of

• Shell script
• Software Development Lifecycle (SDLC) awareness
• Agile principles and ceremonies
• Kubernetes containerization
• Elasticsearch and Kibana

Optionally/ as a plus [*]

• HVault
• Dataiku
• Dremio as tool to virtualize data

BUSINESS AND TRANSVERSAL SKILLS

• Knowledge of banking industry and processes
• Excellent Problem-Solving skills and attention to detail
• Decision-Making person
• Business / IT relationship (including IT OPS)
• Strong communication and interpersonal skills.
• Ability to understand, explain and support change
• Ability to Deliver / Results driven
• Continuous learning and improvement

LANGUAGES

• English level B2 or higher
• Optionally, French level B1

Organization

🚀 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 2024, we’re passionate about creating positive and impactful digital solutions.