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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable data products and pipelines using Palantir, Python, and PySpark, while ensuring data quality and reliability through effective testing and CI/CD practices. Strong analytical skills are essential for identifying data inconsistencies and optimizing data models for analytical use cases.
Highest-signal resume keywords
Palantir ExperiencePython ProgrammingPySpark DevelopmentSQL ProficiencyETL/ELT Workflows
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData TransformationData ModelingETL ProcessesSQLData Quality AssuranceCI/CDData AnalyticsData TestingData Engineering Best Practices
Soft Skills
Analytical MindsetAttention to DetailStrong Communication Skills
Tools & Technologies
PalantirAgile MethodologiesCollaboration Tools
Industry Keywords
Data EngineeringData ProductsData QualityData SolutionsData Initiatives
Tech Stack
Tools & technologiesETLPySparkPythonSQL
About the role
Key responsibilities & impact- Work on strategic data initiatives
- Build and operate reliable, scalable data products on clients’ Palantir-based data platform
- Design, build, and maintain scalable data pipelines and data products using Palantir
- Develop data transformations using Python and PySpark
- Build robust ETL/ELT workflows integrating multiple data sources
- Write efficient SQL for data transformation and analytics
- Design and maintain data models optimized for analytical use cases
- Collaborate with business and analytics stakeholders to translate requirements into data solutions
- Ensure data quality and reliability through testing, monitoring, and CI/CD
- Analyze data to identify inconsistencies and improvement opportunities
- Document solutions and contribute to data engineering best practices
Requirements
What you’ll need- Degree in computer science, engineering, mathematics, or a related field
- Proven experience as a Senior Data Engineer
- Strong Python skills with hands-on PySpark experience
- Solid SQL knowledge and ETL experience
- Strong understanding of data modeling and analytical data design
- Analytical mindset with attention to data quality and consistency
- Experience with data testing, monitoring, and CI/CD processes
- Palantir Foundry experience is a strong plus
- Experience in agile environments and collaboration tools – nice to have
- Strong communication skills and professional proficiency in English (B2/C1)
- Candidates must currently reside in Portugal or Spain
Benefits
Comp & perks- Competitive package and potential bonus (dependent on company’s and employee’s performance)
- Remote work, offering flexibility and a healthy work-life balance
- Access to a wide range of courses, workshops, and conferences to foster continuous learning and growth
- Health insurance
- Guidance and valuable feedback for professional growth
- Team-building events
- Agile and dynamic environment