Data Science Analyst

Metyis AG; Madrid; Presencial; EUR 42.000 - 64.000; Jornada completa

Descripción de la vacante

Metyis is looking for a Data Science Analyst to join our international Data and Analytics team in Madrid. The role requires 2+ years of experience in data science or data engineering and hands-on Python/PySpark, SQL, and cloud data platform expertise.

You will design and maintain data pipelines, work with Palantir Foundry, collaborate with senior stakeholders, and turn business requirements into scalable data solutions in a fast-growing, diverse team.

Formación

• 2+ years of professional experience in Data Science or Data Engineering in real production environments.
• Strong technical expertise in Python, with proficiency in modular and readable code, data structures, object-oriented programming, Pandas, dependency management, and automated testing.
• Hands-on experience with Py-Spark including the DataFrames API, joins, window functions, aggregations, partitioning, and understanding the distributed execution model.
• Advanced level of SQL like CTEs, window functions, query optimization, and analytical modelling.
• Experience with at least one cloud data platform or lakehouse, such as Palantir Foundry, Databricks, Fabric/Synapse, Snowflake, BigQuery, or a similar platform.
• Understanding of Git and collaborative work in shared repositories with code review.
• Ability to work with ambiguous requirements, ask the right questions of the business, and turn them into a data model.
• Fluency in Spanish and English.

Responsabilidades

• Design, build, and maintain data pipelines in Palantir Foundry (Pipeline Builder and/or Code Repositories with Python/PySpark), from source ingestion to consumption datasets.
• Implement and evolve the Foundry Data Model and Ontology (object types, relationships, and actions) for customer use cases.
• Translate functional business requirements into technical solutions, estimating effort and documenting design decisions.
• Ensure data quality: validations and health checks, unit tests, schema control and build monitoring.
• Optimize the performance and resource consumption of transformations (partitioning, incremental processing, efficient use of Spark).
• Build consumption layers and lightweight analytic applications on Foundry (Workshop, Contour, Quiver) when the use case requires it.
• Apply software engineering best practices: version control, code review, branch strategy, cross-environment promotion, and deployment automation.
• Collaborate with the client's data and IT teams for access, incorporation of new sources and commissioning.

Conocimientos

Python

PySpark

SQL

Data modeling

Cloud platforms

Herramientas

Palantir Foundry

Databricks

Git

Descripción del empleo

Metyis is growing! We are looking for a Data Science Analyst with +2 years of experience to join our international Data and Analytics team, based in Madrid.

Who we are

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 global 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 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 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

• Design, build, and maintain data pipelines in Palantir Foundry (Pipeline Builder and/or Code Repositories with Python/PySpark), from source ingestion to consumption datasets.

• Implement and evolve the Foundry Data Model and Ontology (object types, relationships, and actions) for customer use cases.

• Translate functional business requirements into technical solutions, estimating effort and documenting design decisions.

• Ensure data quality: validations and health checks, unit tests, schema control and build monitoring.

• Optimize the performance and resource consumption of transformations (partitioning, incremental processing, efficient use of Spark).

• Build consumption layers and lightweight analytic applications on Foundry (Workshop, Contour, Quiver) when the use case requires it.

• Apply software engineering best practices: version control, code review, branch strategy, cross-environment promotion, and deployment automation.

• Collaborate with the client's data and IT teams for access, incorporation of new sources and commissioning.

What you will bring

• 2+ years of professional experience in Data Science or Data Engineering in real production environments.

• Strong technical expertise in Python, with proficiency in modular and readable code, data structures, object-oriented programming, Pandas, dependency management, and automated testing.

• Hands‑on experience with Py‑Spark including the DataFrames API, joins, window functions, aggregations, partitioning, and understanding the distributed execution model.

• Advanced level of SQL like CTEs, window functions, query optimization, and analytical modelling.

• Experience with at least one cloud data platform or lakehouse, such as Palantir Foundry, Databricks, Fabric/Synapse, Snowflake, BigQuery, or a similar platform.

• Understanding of Git and collaborative work in shared repositories with code review.

• Ability to work with ambiguous requirements, ask the right questions of the business, and turn them into a data model.

• Fluency in Spanish and English.

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.