3 publicaciones de empleo destacadas de service catalan en l'hospitalet de llobregat, ct (¡Están contratando!)

Data Engineering & Analytics Associate
Metyis AG —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Solicitud rápida
Data Engineering Manager
Metyis AG —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Solicitud rápida
Producer, Elevated Shopping (éShop)
Amazon Spain Services, S.L.U. - B76 —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Powerpoint
- Microsoft Word
- Español
1d

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Quiero recibir la alerta de empleo más reciente de service catalan en l'hospitalet de llobregat, ct

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Data Engineering & Analytics Associate

Metyis AG
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Español
Azure
Informática
Big data
Git
Inglés
SQL
AWS
Grado
Machine learning
Catalán
Scala
Scripting
ETL
Python

Descripción completa del empleo

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.

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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Data Engineering & Analytics Associate

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