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 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. 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 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 (Galicia)
🏢 Metyis
📍 Galicia