Lead Data Engineer

buscojobs España; La Coruña; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company at the forefront of technological innovation, where you will lead a dynamic data engineering team. This role offers the chance to work on transformative data and AI platform initiatives, driving the modernization of enterprise capabilities. With a focus on real-time decision-making and intelligent automation, you will design and implement robust data models and ETL processes. The company prioritizes a tech-savvy environment that supports your professional growth, making it an ideal opportunity for passionate tech enthusiasts eager to make an impact.

Formación

• 5+ years of data engineering experience with programming languages and SQL.
• Strong experience with cloud vendors and ETL tools.

Responsabilidades

• Lead the data engineering team and collaborate with stakeholders.
• Design and implement data models and ETL processes.

Conocimientos

Data Engineering

Python

SQL

Cloud Services (AWS/Azure/GCP)

ETL Tools (Airflow, ADF, Glue, Nifi)

Git

CI/CD Pipelines

NoSQL

Descripción del empleo

Let’s Breathe Life into Great Tech Ideas!

With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join us and take part in digitalizing the world.

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

Required Skills:

1. 5+ years of hands-on experience in data engineering with at least one programming language (Python / Scala / Java) and SQL.
2. 3+ years of experience with cloud vendors (AWS / Azure / GCP), DWH services (Redshift, Databricks, etc.), cloud storages (Azure Storage, S3), etc.
3. Strong experience with ETL / ELT / orchestration tools (e.g., Airflow, ADF, Glue, Nifi).
4. Drive the design and implementation of data warehouses and data lakes.
5. Proficient in code versioning (Git) and building CI/CD pipelines for data projects.
6. Experience with requirement gathering and documentation.

Will Be a Plus:

• Experience with NoSQL.

Responsibilities:

1. Lead the data engineering team.
2. Collaborate with business stakeholders and technical teams to understand and analyze data requirements.
3. Design and implement data models and database structures that meet business needs.
4. Profile, refactor, and optimize database performance.
5. Design and implement complex ETL processes to extract, transform, and load data from various source systems into the data warehouse.
6. Ensure data integrity, consistency, and accuracy through robust data quality assurance measures.
7. Review and support team members, providing guidance and mentorship.
8. Supervise and contribute to the data-driven strategy for the project, aligning it with business objectives.

Why Join Intellias?

At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits prioritize your well-being and support your professional growth, making this opportunity an ideal match for tech enthusiasts like you.