Senior Data Engineer

Intellias; Málaga; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading tech firm is seeking a Senior Data Engineer to join its transformative data and AI platform initiative. This remote position, based in Spain, requires extensive experience in data engineering, cloud vendors, and ETL processes. The ideal candidate will collaborate with technical teams and business stakeholders to design data models and ensure data quality and integrity. This role offers an exciting opportunity to be part of a data-first culture and drive intelligent automation initiatives.

Formación

• 5+ years of hands-on experience in data engineering.
• 3+ years of experience with cloud vendors.
• Strong experience with ETL/ELT tools.

Responsabilidades

• Collaborate with stakeholders to analyze data requirements.
• Design and implement data models and database structures.
• Ensure data integrity and quality assurance measures.

Conocimientos

Data engineering experience

Programming (Python/Scala/Java)

SQL proficiency

Cloud vendors (AWS/Azure/GCP)

ETL/ELT/orchestration tools

Code versioning (git)

Descripción del empleo

Senior Data Engineer Location : Remote from Spain (Spanish contract) 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.

Required skills : 5+ years of hands-on experience in data engineering with at least one programming language (Python / Scala / Java) and SQL. 3+ years of experience with cloud vendors (AWS / Azure / GCP), DWH services (Redshift, Databricks, etc.), cloud storages (Azure Storage, S3), etc. Strong experience with ETL / ELT / orchestration tools (e.g., Airflow, ADF, Glue, Nifi). 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 : 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.