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. Metyis is a integral and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. 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
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
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
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)
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.

📌 Data Engineering Sr Associate (Laza)
🏢 Metyis
📍 Laza