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 general 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

A Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus) 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.

📌 Data Engineering Manager (Madrid)
🏢 Metyis
📍 Madrid