Data Science Analyst: Build Data Pipelines & Insights

Metyis AG; Madrid; On-site; EUR 42,000 - 64,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

PySpark

SQL

Data modeling

Cloud platforms

Tools

Palantir Foundry

Databricks

Git

Job description

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.