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Data Engineering Manager
Metyis AG —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
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Data Engineering Manager

Metyis AG
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Español
Azure
Informática
Big data
Git
Máster
SQL
Grado
Machine learning
Catalán
REST
APIs
ETL
Escalabilidad
Cloud
Coaching empresarial
Inteligencia artificial
Python

Descripción completa del empleo

Metyis is growing! We are looking for a Data Engineering Manager with +5 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
Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs
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:

Own and develop the data engineering and AI infrastructure roadmap in alignment with business and technology priorities
Design scalable cloud data platforms, pipelines, APIs, and architectures that support analytics and AI use cases
Work closely with business stakeholders to understand needs, define use cases, and translate them into technical solutions
Monitor the end-to-end development of data and AI use cases, ensuring quality, scalability, and business value
Lead development using Python, PySpark, SQL, REST APIs, and Microsoft Azure
Establish engineering standards covering architecture, testing, CI/CD, data quality, governance, and monitoring
Coordinate data engineering, data science, reporting, and product teams to deliver production-ready solutions
Communicate technical decisions, risks, progress, and recommendations to business and senior stakeholders
Coach team members and manage delivery across multiple projects

What you´ll bring:

5–8 years of experience in data engineering, including building and deploying production-grade ETL/ELT solutions
Strong hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, Logic Apps, and related services
Advanced skills in SQL, Python, PySpark, data transformation, profiling, and data modelling
Strong knowledge of data warehouses, data lakes, data marts, APIs, streaming, and modern cloud architectures
Experience supporting AI and machine learning solutions from data preparation through production deployment and monitoring
Knowledge of CI/CD, Git, automated testing, data quality, governance, and observability
Experience with Airflow, Kubernetes, or Great Expectations is desirable
Strong business understanding and ability to translate business objectives into technical requirements
Confident, proactive communicator who enjoys working closely with clients and business stakeholders
Strong leadership, stakeholder-management, and problem-solving skills
Experience managing or coaching a team of at least two people
Experience in service consulting and stakeholder management
Comfortable with ambiguity, highly autonomous
Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research. Statistics, Business or other related technical disciplines (Master's Degree is a plus)
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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