Senior Data Engineer

Intellias; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

An innovative company is seeking a skilled Data Engineer to join a transformative AI platform initiative. This role involves modernizing enterprise capabilities and enabling real-time decision-making through a comprehensive roadmap covering AI, MLOps, and data governance. You will collaborate with business stakeholders, design data models, and implement complex ETL processes to ensure data integrity and accuracy. This opportunity is perfect for tech enthusiasts eager to thrive in a supportive environment that prioritizes professional growth and well-being. Join a team where your contributions will help shape the future of data-driven operations.

Formación

• 5+ years in data engineering with Python/Scala/Java and SQL.
• Experience with cloud vendors and ETL tools.

Responsabilidades

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

Conocimientos

Data Engineering

Python

Scala

Java

SQL

Cloud Services (AWS/Azure/GCP)

ETL/ELT Tools

Git

CI/CD

Requirement Gathering

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 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 :

• 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.