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# Data Engineering & Analytics Associate

- **Company:** Metyis
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Computer Programming, Databases, Continuous Integration, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Machine Learning, Scala (Programming Language), SQL Databases, Unstructured Data, Data Processing, Scripting, Git, Information Technology, Data Analytics, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

3-6 years of experience in data engineering, analytics, data science, or a hybrid data role
Degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Strong SQL skills and good programming knowledge in Python, Scala, or another scripting language
Experience with ETL/ELT pipelines, databases, data warehouses, and data modelling
Ability to analyse data and translate findings into business recommendations
Working knowledge of statistics and machine learning
Experience with Azure, AWS, or GCP
Familiarity with Git and CI/CD is desirable
Strong problem-solving, business understanding, and stakeholder-management skills
Excellent written and verbal communication skills in English and Spanish

## Description

Metyis is growing! We are looking for a Data Engineering & Analytics Associate with +3 years of experience to join our international Data and Analytics team, based in Barcelona., + 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:

 + Translate business problems into structured analytical approaches and data solutions
 + Analyse structured and unstructured data to identify insights and opportunities
 + Build and maintain ETL/ELT pipelines, datasets, and scalable data-processing solutions
 + Develop automation and analytical solutions using SQL, Python, Scala, or similar tools
 + Perform data-quality checks, validation, and performance optimisation
 + Support reporting, advanced analytics, and machine learning use cases
 + Collaborate with data science, engineering, reporting, product, and business teams
 + Communicate findings clearly to technical and non-technical stakeholders
 + Manage deliverables across multiple projects and clients


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