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Metyis Logo Metyis · IT - Software Development

Data Engineering Senior Associate

Spain, Barcelona · Job Posted June 29, 2026
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Job Responsibility

  • 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

Requirements

  • 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)

Nice to have

  • Experience with Airflow, Kubernetes, or Great Expectations is desirable
  • Master's Degree is a plus

What we offer

  • 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
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