Lead Data Engineer

Intellias; Valladolid; A distancia; EUR 60.000 - 85.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Lead Data Engineer to steer a transformative data and AI platform initiative. The role involves leading a data engineering team, designing data models, and implementing ETL processes while collaborating with stakeholders. The ideal candidate should have 5+ years in data engineering with Python and AWS, and strong experience with Airflow and Spark. This position is remote from Spain.

Formación

• 5+ years of hands-on experience in data engineering.
• 3+ years of experience with AWS services.
• Strong experience with Airflow and Spark.

Responsabilidades

• Lead a data engineering team.
• Collaborate with stakeholders to analyze data requirements.
• Design and implement data models and database structures.
• Profile, refactor, and tune performance in the database.
• Design and implement complex ETL processes.
• Ensure data integrity and accuracy through quality measures.
• Mentor team members and provide guidance.

Conocimientos

Data engineering with Python

SQL

AWS (Glue, S3, Athena, Lambda, DataZone)

Airflow

Spark

Code versioning (git)

Building CI / CD for data projects

NoSQL

Descripción del empleo

Lead Data Engineer

Location : Remote from Spain

Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.

Requirements :

5+ years of hands-on experience in data engineering with Python and SQL.

3+ years of experience with AWS (Glue, S3, Athena, Lambda, DataZone)

Strong experience with Airflow and Spark

Drive the design and implementation of data warehouse and data lakes.

Proficient in code versioning (git) and building CI / CD for data projects.

Experience with requirement gathering and documentation.

Will be a plus :

Experience with NoSQL.

Responsibilities :

Lead a data engineering team.

Collaborate with business stakeholders and technical teams to understand and analyze data requirements.

Lead the design and implementation of data models and database structures that meet business needs.

Profile, refactor, and tune performance in the database.

Design and implement complex ETL processes to extract, transform, and load data from various source systems into the data warehouse.

Ensure data integrity, consistency, and accuracy through robust data quality assurance measures.

Review and support team members, providing guidance and mentorship.

Supervise and contribute to the data-driven strategy for the project, aligning it with business objectives.