Lead Data Engineer

Intellias; España; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A technology consulting company is seeking a Senior Talent Delivery Specialist to lead a data engineering team. This remote role from Spain requires over 5 years of experience in data engineering, strong proficiency in Python and SQL, and 3 years of AWS experience. You will be involved in designing ETL processes and ensuring data integrity across enterprise-scale capabilities. This is a full-time position in a dynamic environment focused on modernizing data practices.

Formación

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

Responsabilidades

• Lead a data engineering team.
• Collaborate with stakeholders to analyze data requirements.
• Design and implement ETL processes.

Conocimientos

Data engineering experience

Python

SQL

AWS

Airflow

Spark

Code versioning (git)

CI/CD for data projects

Herramientas

AWS Glue

AWS S3

AWS Athena

AWS Lambda

AWS DataZone

Descripción del empleo

Overview

Senior Talent Delivery Specialist — looking for innovative and passionate people at Intellias Spain.

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.

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.

Qualifications

• 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.
• Nice to have : Experience with NoSQL.

Employment type

• Full-time

Seniority level

• Mid-Senior level

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting and Engineering Services