Skip to main content
← Back to Jobs

Senior Data Engineer (Redshift)

WelltechRemote🌍 Remote
Full-time3-7
👁️ 0 views📝 0 applicationsPosted 9/3/2026Expires 10/4/2026
Tailor Resume for This JobCheck ATS Score

Get alerts for roles like this

More Senior Data Engineer (Redshift) roles in Remote — straight to your inbox. No account needed.

Applying to this role? Tailor your résumé to this job description in one click, then download it clean — no watermark, no subscription.

Job Description

Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.

5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK , we combine the scale of a market leader and the drive of a team that's just getting started. What We're Looking For As a Senior Data Engineer , you will play a crucial role in building and maintaining the foundation of our data ecosystem.

You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

Challenges You’ll Meet: Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.

Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.

Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business. Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitori

Required Skills

ETLELTdata modelingdata pipelinesdata quality

The best-paying roles in your field. Every week. Free.

Join 10,000+ professionals getting job alerts and salary insights in their inbox

We respect your privacy. Unsubscribe anytime with one click.