Senior Data Engineer (Palantir) 50K-75K

Construo Ag
Lleida (Lérida), Spain
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
€50,000 - €75,000
Working hours
Regular working hours

Tech stack

Agile Methodology Data Analysis Collaborative Software Continuous Integration Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Transformation Data Systems Database Testing Python (Programming Language) Standard Sql
+6 more
SQL Databases Palantir Foundry Pyspark Information Technology Data Analytics Data Pipelines

Job description

THIS VACANCY IS ONLY OPEN TO CANDIDATES CURRENTLY RESIDING IN PORTUGAL OR SPAINAbout ConstruoConstruo’s journey began with Christian, a seasoned developer, and Gabriel, a Ph.D. in physics with expertise in quantitative finance. Fueled by a passion to enhance architecture, technology, and processes for quantitative financial applications, Construo came to life in early**.With a team of professionals based inPortugal,Slovakia,SpainandSwitzerland, Construo is committed to providing exceptional IT solutions. Our senior software engineers, architects, UX/UI designers, and domain experts bring a wealth of experience across relevant technical disciplines, ensuring that each project benefits from a strong focus on quality, technical excellence, and a personalized approach.We invite you to join us as we redefine the future of financial applications through innovation and unwavering dedication.Your MissionYou will work on strategic data initiatives, building and operating reliable, scalable data products on the clients’ Palantir based data platform. Your focus will be on developing high-quality data pipelines and analytics-ready datasets that support reporting, analytics, and data-driven decision-making.Design, build, and maintain scalable data pipelines and data products usingPalantirDevelop data transformations usingPython and PySparkBuild robustETL/ELTworkflows integrating multiple data sourcesWrite efficientSQLfor data transformation and analyticsDesign and maintaindata modelsoptimized for analytical use casesCollaborate with business and analytics stakeholders to translate requirements into data solutionsEnsure data quality and reliability through testing, monitoring, and CI/CDAnalyze data to identify inconsistencies and improvement opportunitiesDocument solutions and contribute to data engineering best practicesYour StoryYou are an experienced data engineer with strong technical foundations and a passion for building reliable data solutions.Degree in computer science, engineering, mathematics, or a related fieldProven experience as aSenior Data EngineerStrongPythonskills with hands-onPySparkexperienceSolidSQLknowledge and ETL experienceStrong understanding ofdata modelingand analytical data designAnalytical mindset with attention to data quality and consistencyExperience with data testing, monitoring, and CI/CD processesPalantir Foundry experience is a strong plusExperience in agile environments and collaboration tools - nice to haveStrong communication skills and professional proficiency in English (B2/C1)We OfferCompetitive 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 growthGuidance and valuable feedback for professional growthAgile and dynamic environment#J-***-Ljbffr

Requirements

You are an experienced data engineer with strong technical foundations and a passion for building reliable data solutions. 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)

Benefits & conditions

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 Guidance and valuable feedback for professional growth Agile and dynamic environment #J-*****-Ljbffr

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