Data Engineering Senior Associate

• 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

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)

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., 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., 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.