Jobgether is seeking an experienced Senior Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and data-driven product development. In this fully remote role, you will take end-to-end ownership of ETL/ELT pipelines, transforming complex raw data into reliable, well-structured, and accessible datasets while collaborating with an international team of talented professionals.
Key responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data from diverse sources.
- Develop and optimize data models, schemas, and transformation logic to support analytics and business intelligence requirements.
- Establish and maintain data validation processes and quality checks to ensure datasets remain accurate and trustworthy.
- Implement monitoring, alerting, and observability practices to improve visibility into production data systems.
- Partner with analytics, product, and engineering teams to translate business requirements into durable technical solutions.
Requirements
- At least four years of professional experience in data engineering with a track record of delivering production-ready solutions.
- Strong SQL skills and proficiency in at least one programming language such as Python, Scala, or Java.
- Hands-on experience designing and maintaining ETL/ELT pipelines in production environments.
- Practical experience with at least one major cloud data platform like AWS, GCP, or Azure.
- Solid understanding of data modeling principles, schema design, and pipeline orchestration.
What we offer
- Fully remote work arrangement with flexible working hours focused on high-quality results.
- Generous home office equipment allowance to ensure productivity and comfort.
- Opportunities for continuous professional development and growth within an international team.
- Collaborative, innovative culture that encourages knowledge sharing and technical ownership.