Data Engineering Analyst
- Level
- Junior
- Work type
- On-site · Barcelona
Not stated in the posting: salary, visa.
Open. First seen 3 October 2026.
About the role
Metyis is growing! We are looking for a Data Engineering Analyst with +1 year of experience to join our international Data and Analytics team, based in Barcelona.
Who we are:
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
metyisag's standard text
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
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
- Fluency in English and Spanish
- Catalan is a nice to have
metyisag's standard text
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.
What this role asks for
Particular to this role
Golang
Rare in metyisag's other 47 open postings.
Standard for data engineering roles
Azure
Common in data engineering postings at any company.
In most of metyisag's ads
Python · SQL
Named in most of its open postings, whatever the role.
75% of this description is written for the role. The rest is metyisag's standard text, folded away below.
Read against metyisag's other open postings on this site.
The team: Data & Analytics HIRES STEADILY
This role is one of 41 open in Data & Analytics. 10 were posted in the last 30 days and the oldest in May: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
SQL (30 of 41), Python (29 of 41), Azure (25 of 41), Databricks (17 of 41), CI/CD (15 of 41), Git (14 of 41), Data Warehousing (13 of 41)
OTHER ROLES ON THIS TEAM
- Associate Data Scientist posted Oct 16
- Associate Data Scientist posted Oct 16
- Data Engineering Associate posted Oct 2
- AI Data Governance Implementation Lead posted Oct 1
- AI Data Governance Implementation Lead posted Oct 1
- Data Science Principal posted Sep 29
- Data Science Lead posted Sep 29
- Data Science Lead posted Sep 29
- AI Product Owner posted Sep 24
- Project Manager posted Sep 22
- AI Solutions Engineer posted Sep 16
- Data Governance Implementation Lead posted Sep 14
- Data Governance Implementation Lead posted Sep 14
- AI Architect posted Sep 10
- AI Lead posted Sep 10
- AI Architect posted Sep 9
- AI Solutions Engineering Analyst posted Sep 9
- AI Solutions Engineer posted Sep 9
- Data Engineering Manager posted Sep 9
- Data Science Associate posted Sep 7
- Data Science Associate posted Sep 7
- Data Engineering Associate posted Sep 7
- Data Science Lead (Fashion) posted Sep 3
- Data Science Principal (Fashion) posted Sep 3
- Data Engineering Lead (Fashion) posted Sep 2
- Data Engineering Principal (Fashion) posted Sep 2
- Azure Data & Analytics DevOps Engineer posted Aug 13
- Data Engineering Associate posted Aug 13
- Data Governance Implementation Lead posted Aug 6
- Data Engineering Lead posted Aug 6
- Data Governance Implementation Lead posted Jul 30
- Data Engineering Manager posted Jul 30
- Project Manager posted Jul 28
- Cloud/ DevOps Engineering Lead posted Jul 21
- Data Engineering Lead posted Jun 26
- Data Engineering Lead posted Jun 26
- Data Engineering Associate posted Jun 26
- Data Engineering Associate posted Jun 26
- Data Engineering & Analytics Associate posted Jun 23
- Data Science Associate posted May 5
From the team and dates on metyisag's own job board.
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