The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.Metyis is a general and forward-thinking firm operating across a wide range of industries, developing and delivering AI & 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 capabilitiesWith 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.We are united by our differencesAt 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.Recruitment DisclaimerMetyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.Com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.#J-18808-Ljbffr

📌 Data Engineering Manager Barcelona, Spain
🏢 Metyis
📍 Barcelona