Welltech: Senior Data Engineer (Redshift)

Location: Remote <img src="[Link Protected] /> <p> <strong>Headquarters:</strong> Cyprus <br /><strong>URL:</strong> <a href="[Link Protected] </p> <p><strong>Who Are We?</strong></p><p>Welltech is a global wellness technology company with Ukrainian roots. Our mission is <strong>to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.</strong><br><br>We are one of the most established players in the wellness app space, and we are accelerating. Over <strong>25.5 million</strong> people across the world use our apps — <strong>Muscle Booster, Yoga-Go, and WalkFit</strong> — 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.<br><br>With <strong>500+ people</strong> across hubs in <strong>Cyprus, Ukraine, Poland, Spain, and the UK</strong>, we combine the scale of a market leader and the drive of a team that's just getting started.</p><p></p><p><strong>What We're Looking For</strong></p><p>As a <strong>Senior Data Engineer</strong>, 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.</p><p>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.</p><p><strong>Challenges You’ll Meet:</strong></p><ul><li><p><strong>Pipeline Development and Optimization:</strong> Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.</p></li><li><p><strong>Data Modeling and Transformation:</strong> Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.</p></li><li><p><strong>Collaboration Across Teams:</strong> Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business.</p></li><li><p><strong>Ensuring Data Quality:</strong> Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.</p></li><li><p><strong>Performance and Efficiency:</strong> Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.</p></li><li><p><strong>Security and Compliance:</strong> Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.</p></li><li><p><strong>Innovation and Continuous Improvement:</strong> Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.</p></li><li><p><strong>Automation and CI/CD Practices:</strong> Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.</p></li></ul><p><strong>Required skills:</strong></p><ul><li><p><strong>4+ years of experience</strong> in data engineering or backend development, with a strong focus on building production-grade data pipelines.</p></li><li><p>2-3+ years of experience working with <strong>AWS services</strong> <strong>(Administration of Redshift is a must)</strong>, </p></li><li><p>Solid experience working with AWS services<strong> </strong>(Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).</p></li><li><p>Proficient in <strong>Python</strong> and <strong>SQL</strong> for data transformation and automation.</p></li><li><p>Experience with <strong>dbt</strong> for data modeling and transformation.</p></li><li><p>Good understanding of <strong>streaming architectures</strong> and micro-batching for real-time data needs.</p></li><li><p>Experience with <strong>CI/CD pipelines</strong> for data workflows (preferably GitLab CI).</p></li><li><p>Familiarity with <strong>event schema validation tools/ solutions</strong> (Snowplow, Schema Registry).</p></li><li><p>Excellent communication and collaboration skills.<br>Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.</p></li><li><p>A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.</p></li></ul><p><strong>Tech Stack You’ll Work With:</strong></p><ul><li><p><strong>Cloud:</strong> AWS (<strong>Redshift</strong>, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)</p></li><li><p><strong>Languages:</strong> Python, SQL</p></li><li><p><strong>Orchestration:</strong> Airflow (MWAA)</p></li><li><p><strong>Modeling:</strong> dbt</p></li><li><p><strong>CI/CD: </strong>GitLab CI (including GitLab administration)</p></li><li><p><strong>Monitoring:</strong> Datadog, Grafana, Graylog</p></li><li><p><strong>Event validation process: </strong>Iglu schema registry</p></li><li><p><strong>APIs &amp; Integrations:</strong> REST, OAuth, webhook ingestion</p></li><li><p><strong>Infra-as-code (optional):</strong> Terraform</p></li></ul><p><strong>Bonus Points / Nice to Have:</strong></p><ul><li><p>Experience with <strong>additional AWS services</strong>: EMR, EKS, Athena, EC2.</p></li><li><p>Hands-on knowledge of <strong>alternative data warehouses</strong> like Snowflake or others.</p></li><li><p>Experience with <strong>PySpark</strong> for big data processing.</p></li><li><p>Familiarity with <strong>event data collection tools</strong> (Snowplow, Rudderstack, etc.).</p></li><li><p>Interest in or exposure to <strong>customer data platforms (CDPs)</strong> and real-time data workflows.</p></li></ul><p></p><p><strong>Candidate journey:</strong> ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders</p><p><br><strong>Check out some of our products</strong></p><p>Muscle Booster —<a href="[Link Protected] [Link Protected] </p><p>Yoga-Go —<a href="[Link Protected] [Link Protected] </p><p>WalkFit -<a href="[Link Protected] <p><strong>To apply:</strong> <a href="[Link Protected] GDPR Compliance: Sourced via verified public channels under Legitimate Interests (Art. 6(1)(f) GDPR). 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