What we offer

Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change

Become the go-to person for end-to-end data handling, management, and analytics processes

Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization

Become part of a fast-growing international and diverse team

What you will do

Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions

Collaborate and work closely with teams to better understand the end-user requirements

Develop, and maintain data pipelines using Azure Data Factory and other technologies, ensuring efficient and cost-aware processes

Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly

Work with Azure Data Lake Storage to manage and store large datasets, ensuring data is easily accessible and well-organized

Implement data quality and data governance best practices to ensure the accuracy, consistency, and security of data

Work closely with data scientists to understand their data requirements and provide the necessary support for their analytics and machine learning tasks





Stay updated with the latest trends and advancements in data engineering, cloud technologies, and big data tools

Create and maintain documentation related to data pipelines, data storage, and data processing workflows

What you’ll bring

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Minimum of 1-2 years of experience in a data engineering role

Proficiency in SQL and Python

Experience With Databricks Or Other Pay-as-you-go DWH Technologies

Familiarity with big data technologies and distributed processing tools

Understanding of data integration and ELT processes

Good problem-solving skills and the ability to work collaboratively in a team environment

Excellent written and verbal communication skills in English and Spanish

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

📌 Data Engineering Analyst (Madrid)
🏢 Metyis
📍 Madrid