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Salary
≈ $40k – $83k per year (Estimated)
Location
In office (Barcelona)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Jun 23, 2026. Metyis scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Metyis is a global management consulting, digital transformation, and technology services enterprise. The company focuses on delivering strategic advisory, big data analytics, artificial intelligence, digital commerce, and marketing execution through long-term embedded partnerships. Headquartered in Baar, Switzerland, it operates an extensive international network across Europe, Asia, the Middle East, and the Americas to drive sustainable growth and digital optimization for enterprise clients across consumer goods, retail, healthcare, and financial sectors.
Backed by team@irregular

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.

Requirements

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.

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:

  • 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

What you´ll bring:

  • 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

  • Fluency in English, Spanish and Catalan.

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.

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