Data Engineering Manager Barcelona, Spain

Metyis; Barcelona; Presencial; EUR 80.000 - 110.000; Jornada completa

Descripción de la vacante

Metyis is seeking an experienced Data Engineer to lead the design and implementation of scalable data platforms and AI workflows at Barcelona, Spain. You will collaborate with business stakeholders, build pipelines, and shape APIs and data services across production environments.

Join a fast-growing, international team and drive end-to-end data solutions—from ingestion and transformation to analytics and governance. This role requires strong SQL/Python, cloud tooling, and leadership capabilities.

Formación

• 5–8 years of experience in data engineering with production-grade ETL/ELT

Responsabilidades

• Own and develop the data engineering and AI infrastructure roadmap
• Design scalable cloud data platforms, pipelines, APIs, and architectures for analytics/AI
• Collaborate with stakeholders to translate needs into technical solutions
• Monitor end-to-end development of data/AI use cases for quality and value
• Lead development using Python, PySpark, SQL, REST APIs, and Azure
• Set engineering standards for architecture, testing, CI/CD, data quality, governance
• Coordinate data engineering, data science, reporting, and product teams
• Communicate decisions, risks, and progress to leadership
• Coach team members and manage delivery across projects
• Experience in service consulting and stakeholder management
• Comfortable with ambiguity and highly autonomous
• Bachelor’s Degree in Computer Science, Math, Economics, Engineering, OR related fields (Master’s a plus)

Conocimientos

Data engineering

Azure Data Factory

Databricks

PySpark

Python

SQL

REST APIs

CI/CD

Git

Airflow

Kubernetes

Great Expectations

Data governance

Observability

Data modelling

Data warehouses

Educación

Bachelor's degree in CS/Math/Engineering or related technical discipline

Herramientas

Azure Data Factory

Databricks

Synapse

Azure Functions

Logic Apps

REST APIs

CI/CD

Airflow

Kubernetes

Great Expectations

Descripción del empleo

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & 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.

We are united by our differences

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.

Recruitment Disclaimer

Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.