Metyis is growing! We are looking for a Data Engineering Sr Associate 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
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
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.
Skills Required
- 5-8 years of experience in data engineering, including building and deploying production-grade ETL/ELT solutions
- Hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, Logic Apps
- Advanced skills in SQL, Python, PySpark, data transformation, profiling, and data modelling
- Strong knowledge of data warehouses, data lakes, data marts, APIs, and streaming 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 managing or coaching a team of at least two people
- Strong leadership, stakeholder-management, communication, and problem-solving skills
- Experience in service consulting and stakeholder management
- Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or related technical discipline (Master's is a plus)
- Experience with Airflow, Kubernetes, or Great Expectations
- Comfortable with ambiguity and highly autonomous
What We Do
Metyis is a global firm that specializes in AI & Data, Digital Commerce, Marketing, and Design solutions, alongside advisory services. They focus on long-term partnerships to drive sustainable growth and performance for their clients through data-driven decision-making and integrated digital strategies, operating with a diverse, global talent pool across multiple international locations.
