Senior Data Engineer

Headquarters: Cyprus

URL: http://welltech.com

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:
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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.

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

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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.

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Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.

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Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.

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Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.

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Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.

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Automation and CI/CD Practices: Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.

Required skills:
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4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.

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2-3+ years of experience working with AWS services (Administration of Redshift is a must) ,

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Solid experience working with AWS services (Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).

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Proficient in Python and SQL for data transformation and automation.

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Experience with dbt for data modeling and transformation.

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Good understanding of streaming architectures and micro-batching for real-time data needs.

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Experience with CI/CD pipelines for data workflows (preferably GitLab CI).

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Familiarity with event schema validation tools/ solutions (Snowplow, Schema Registry).

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Excellent communication and collaboration skills.
Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.

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A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You’ll Work With:
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Cloud: AWS ( Redshift , Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)

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Languages: Pyt