Data Engineering Manager

Metyis is growing! We are looking for a Data Engineering Manager 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 changeBecome the go-to person for end-to-end data handling, management, and analytics processesLead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIsWorking with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualizationBecome part of a fast-growing international and diverse teamWhat you will do:Own and develop the data engineering and AI infrastructure roadmap in alignment with business and technology prioritiesDesign scalable cloud data platforms, pipelines, APIs, and architectures that support analytics and AI use casesWork closely with business stakeholders to understand needs, define use cases, and translate them into technical solutionsMonitor the end-to-end development of data and AI use cases, ensuring quality, scalability, and business valueLead development using Python, PySpark, SQL, REST APIs, and Microsoft AzureEstablish engineering standards covering architecture, testing, CI/CD, data quality, governance, and monitoringCoordinate data engineering, data science, reporting, and product teams to deliver production-ready solutionsCommunicate technical decisions, risks, progress, and recommendations to business and senior stakeholdersCoach team members and manage delivery across multiple projectsWhat you ?ll bring:5-8 years of experience in data engineering, including building and deploying production?grade ETL/ELT solutionsStrong hands?on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, Logic Apps, and related servicesAdvanced skills in SQL, Python, PySpark, data transformation, profiling, and data modellingStrong knowledge of data warehouses, data lakes, data marts, APIs, streaming, and modern cloud architecturesExperience supporting AI and machine learning solutions from data preparation through production deployment and monitoringKnowledge of CI/CD, Git, automated testing, data quality, governance, and observabilityExperience with Airflow, Kubernetes, or Great Expectations is desirableStrong business understanding and ability to translate business objectives into technical requirementsConfident, proactive communicator who enjoys working closely with clients and business stakeholdersStrong leadership, stakeholder?management, and problem?solving skillsExperience managing or coaching a team of at least two peopleExperience in service consulting and stakeholder managementComfortable with ambiguity, highly autonomousA 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.#J-*****-Ljbffr

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 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., 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. #J-*****-Ljbffr