Senior Data Engineer

buscojobs España; Lugo; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a skilled Data Engineer to join a transformative data and AI platform initiative. This role involves collaborating with business stakeholders to design data models and implement ETL processes, ensuring data integrity and performance. You will lead the development of data warehouses and lakes, driving the data-first operations of the organization. If you are passionate about data engineering and want to be part of a forward-thinking team, this opportunity offers a dynamic environment focused on innovation and professional growth.

Servicios

Customized benefits

Professional growth support

Tech-savvy environment

Formación

• 5+ years in data engineering with programming languages and SQL.
• Experience with cloud vendors and data warehousing services.

Responsabilidades

• Collaborate with stakeholders to analyze data requirements.
• Design and implement data models and ETL processes.

Conocimientos

Data Engineering

Python

Scala

Java

SQL

AWS

Azure

GCP

ETL Tools

Git

Herramientas

Airflow

ADF

Glue

Nifi

Redshift

Databricks

Azure Storage

S3

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 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:

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 (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 databases.

Responsibilities:

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

About 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.