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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Analyst - **Company:** Metyis AG - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Automation of Tests, Unit Testing, BigQuery, Code Review, Data Cleansing, Information Engineering, Data Structures, Data Visualization, Python (Programming Language), Object-Oriented Software Development, Query Optimization, SQL Databases, Software Repository, Data Processing, Cloud Platform System, Snowflake, Apache Spark, Git, Pandas, Pyspark, Deployment Automation, Data Management, Azure Synapse Analytics, Software Version Control, Databricks - **Published:** August 29, 2026 - **Apply:** https://www.jobleads.com/es/job/e12da24ee99597316dcc0222bb76e8614 ## About the Role * 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. ## Description * 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., * 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. ## Related Videos - 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