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Senior Data Engineer (Azure Data Factory)

  • Distans
  • Sverige
  • Engelska
  • Publicerad 21.09.26 11:17

About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

The Role: We are seeking experienced Azure Data Factory Data Engineer to join a critical, long-term project focused on enhancing and optimizing existing data systems within the healthcare domain.Your primary focus will be designing, improving, and maintaining ETL/ELT workflows that handle sensitive healthcare data.This is a full-time, long-term remote engagement where you will collaborate closely with cross-functional stakeholders to deliver secure, high-performing data solutions. What we are looking for: 5+ years of professional experience as a Data EngineerPractical experience with Azure Data Factory for orchestration and pipeline management, 3+ yearsStrong proficiency in SQL with proven experience optimizing complex queriesHands-on experience with Snowflake in production environmentsSolid experience with ETL/ELT processes and data transformation techniquesExperience working with sensitive healthcare data and understanding of compliance and data protection requirementsStrong analytical and problem-solving skillsGood communication skills in English (written and spoken)Ability to work independently in a remote, distributed teamAbility to work independently and deliver high-quality results remotelyLocated in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones. Nice-to-have: Experience with Talend (especially for understanding or maintaining legacy data processes)Familiarity with DBT for modern data transformation workflowsExperience working in structured product teams with product owners, delivery managers, and architectsKnowledge of data governance and data modeling best practicesExperience with performance monitoring and pipeline observability tools

Responsibilities: Develop, maintain, and optimize ETL/ELT pipelines using Azure Data FactoryDesign efficient data acquisition and transformation workflowsImprove and implement robust data cleaning mechanisms to ensure high data quality and integrityOptimize and performance-tune complex SQL queriesSupport and execute data migration and integration into Snowflake from multiple data sourcesEnsure compliance and secure handling of sensitive healthcare dataCollaborate with product owners, architects, and delivery managers to align technical solutions with business goalsMonitor and troubleshoot data workflows to ensure reliability and performance

What we offer: Get paid, not playedNo more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options Predictable project hoursEnjoy a harmonious work-life balance with consistent 8-hour working days with clients. Flex days, so you can rechargeEnjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. Career-accelerating positions at cutting-edge companiesDiscover exclusive long-term remote positions at the world's most exciting companies. Hand-picked opportunities just for youSkip the typical recruitment roadblocks and biases with personally matched positions. One seamless process, multiple opportunitiesA one-time contracting process for endless opportunities, with no extra assessments. CompensationEnjoy the same pay, every month with positions landed through Proxify.