Who Are We?
We are Welltech — a global company with Ukrainian roots and a powerful mission: to move everybody to start and stay well for life. Today 25.5 million users have trusted Welltech to help them build healthy habits — a testament to the real value our innovative, engaging wellness solutions deliver every day. 🌍
With five hubs across Cyprus, Ukraine, Poland, Spain and the UK and a diverse, remote-friendly team of 700+ professionals, we continue to scale rapidly. Our innovative apps — Muscle Booster, Yoga-Go and WalkFit — empower millions to transform their lifestyles and unlock their personal wellness journeys.
Welltech is where your impact becomes real. And our values clearly attest to that: we grow together, we drive results, we lead by example and we are well-makers.
If this looks like you and you thrive in a fast-paced environment, you’ll fit right in at Welltech. Let’s build wellness for millions together.
What We're Looking For
As a Staff Data Engineer/ Data Platform Technical Lead, you will play a pivotal role in transforming our data infrastructure to ensure seamless experiences for our customers and drive business growth. You will manage the development and governance of our data platform, ensuring it is reliable, scalable, and optimized for advanced analytics.
In this role, you’ll lead a team of data engineers and collaborate with cross-functional stakeholders to design, build, and maintain a high-quality, cloud-native data ecosystem. Your work will be critical in enabling data-driven decision-making across the organization, powering everything from internal dashboards to real-time product features.
We’re looking for someone who combines deep technical expertise with strategic thinking and a passion for mentorship and architectural excellence.
Challenges you’ll meet:
- Team Leadership and Mentorship: Lead and mentor a team of skilled data engineers, fostering a collaborative and growth-oriented environment.
- Data Platform Modernization: Redesign and modernize our existing data platform using the latest tools and technologies to enhance efficiency, accessibility, and scalability.
- Cross-Team Collaboration: Collaborate closely with data analysis and product development teams to ensure efficient, reliable, and scalable data pipelines that contribute to informed decision-making.
- Data Quality & Governance: Establish and enforce data quality frameworks, governance policies, and monitoring tools to ensure high data accuracy, consistency, and reliability.
- Compliance & Security: Ensure compliance with data privacy regulations and security best practices, minimizing risks related to data access and management.
- Innovation and Testing: Test new approaches by creating Proof of Concepts (PoCs) and conducting benchmarks to continuously improve our data platform.
- ETL/ELT Excellence: Develop, optimize, and maintain ETL/ELT processes to ensure high-quality and consistent data, supporting the integrity of our analytics and insights.
- Best Practices and CI/CD Methods: Build robust pipelines for continuous integration and deployment (CI/CD), streamlining software delivery and enhancing efficiency in collaboration with development teams.
✨ Why You’ll Love Being Part of Welltech:
- Grow Together: Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together.
- Lead by Example: No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact.
- Results-Driven: We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day.
- We Are Well-Makers: Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality!
Your professional qualities:
7+ years of experience in data engineering or backend systems, with at least 2+ years in a technical leadership or architect role.
Proven experience designing and building distributed data systems on the cloud.
Expertise in data modeling, warehousing (dimensional, denormalized, time-series), and data governance.
Strong experience with streaming architectures (e.g., Kinesis, Kafka) and batch ETL.
Deep understanding of CI/CD pipelines for data systems and infrastructure (preferably GitLab CI).
Excellent communication skills—able to influence stakeholders and guide technical decisions across departments.
Knowledge of data privacy regulations (GDPR, CCPA) and security standards.
A mentoring mindset—you’ve supported career growth of other engineers and improved team standards.
Experience balancing trade-offs between scalability, cost, speed, and maintainability.
Tech stack you’ll work with:
Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
Languages: Python, SQL
Orchestration: Airflow (MWAA)
Modeling: dbt
CI/CD: GitLab CI (including GitLab administration)
Monitoring: Datadog, Grafana, Graylog
Event validation process: Iglu schema registry
APIs & Integrations: REST, OAuth, webhook ingestion
Infra-as-code (optional): Terraform
Nice to have:
Experience with additional AWS services: EMR, EKS, Athena, EC2.
Hands-on knowledge of alternative data warehouses like Snowflake or others.
Strong proficiency in PySpark for large-scale data processing.
Event Data Collection Tools: custom, Snowplow, Rudderstack, etc.
Familiarity with customer data platforms (CDPs) and real-time data processing.
