Data Engineering & Analytics Associate

Metyis; Barcelona; Presencial; EUR 60.000 - 86.000; Jornada completa

Descripción de la vacante

Metyis is seeking a data-focused professional to translate business problems into structured data solutions and deliver scalable ETL/ELT pipelines. You will work with data scientists and cross-functional teams to drive insights from structured and unstructured data.

Ideal candidates bring 3–6 years in data roles, strong SQL, and proficiency in Python or Scala, with cloud experience (Azure/AWS/GCP) and good English/Spanish communication.

Formación

• Degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field.
• 3–6 years of experience in data engineering, analytics, data science, or a hybrid data role.
• Strong SQL skills and programming knowledge in Python, Scala, or similar 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 cloud platforms 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 in English and Spanish.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Scala

Data modelling

Data analysis

Stakeholder management

Git & CI/CD

Analytical thinking

Educación

Bachelor's/ Master's degree in CS, Engineering, Math, Stats, Economics

Herramientas

Azure

AWS

GCP

Databases

Data warehouses

ETL/ELT pipelines

Git

Descripción del empleo

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
• 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.