Data Engineering Sr Associate
Quick Summary
Own and develop the data engineering and AI infrastructure roadmap in alignment with business and technology priorities Design scalable cloud data platforms, pipelines, APIs,
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.
We are Metyis. Partners for Impact.
What We Offer
~1 min readResponsibilities
~1 min read- →
Own and develop the data engineering and AI infrastructure roadmap in alignment with business and technology priorities
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Design scalable cloud data platforms, pipelines, APIs, and architectures that support analytics and AI use cases
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Work closely with business stakeholders to understand needs, define use cases, and translate them into technical solutions
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Monitor the end-to-end development of data and AI use cases, ensuring quality, scalability, and business value
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Lead development using Python, PySpark, SQL, REST APIs, and Microsoft Azure
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Establish engineering standards covering architecture, testing, CI/CD, data quality, governance, and monitoring
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Coordinate data engineering, data science, reporting, and product teams to deliver production-ready solutions
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Communicate technical decisions, risks, progress, and recommendations to business and senior stakeholders
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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)
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.
Location & Eligibility
Listing Details
- First seen
- June 23, 2026
- Last seen
- June 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- June 23, 2026
Signal breakdown
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