Lead Data Engineer

Intellias; Ourense; Presencial; EUR 45.000 - 75.000; Jornada completa

Descripción de la vacante

Intellias is looking for a Mid-Senior Data Engineering Lead to join a transformative data and AI platform initiative. In this role, you will guide a data engineering team, lead the design of complex data models, and ensure the realization of data-driven strategies aligned with business goals. If you thrive in a tech-centric environment and possess strong ETL and cloud knowledge, we welcome you to apply.

Formación

• 5+ years hands-on experience in data engineering.
• 3+ years experience with cloud vendors like AWS or Azure.
• Strong experience with ETL, ELT, and orchestration tools.

Responsabilidades

• Lead the design and implementation of data models and database structures.
• Collaborate with stakeholders to analyze data requirements.
• Ensure data integrity and accuracy through robust quality assurance.

Conocimientos

Data engineering

Python

SQL

ETL

Cloud services

Orchestration tools

Code versioning

Data quality assurance

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 in and take your part in digitalizing the world.

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 :

• Lead the 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.

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 not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

IT Services and IT Consulting

J-18808-Ljbffr