Remote Senior Data Engineer Job at Welltech
Europe
9 months agoJob Overview
Welltech is hiring a remote candidate for Senior Data Engineer. This is a full time position. Work location: Europe.
The role typically involves technologies such as Data Analysis, Python, SQL, AWS.
Key Responsibilities
- 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 monitoring to ensure the consistency, accuracy, and reliability of data.
- Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.
- Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.
- Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.
- 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
Primary Skills
- Data Analysis
- Python
Secondary Skills
- SQL
- AWS
Skills required for this role include Data Analysis, Python, SQL, and related tools for day-to-day development.
Job Details
- Employment Type: Full Time
- Location: Europe
- Salary: $75000 – $120000 USD
Tech Stack
Data Analysis, Python, SQL, AWS
About the Company
Welltech is a global IT powerhouse specializing in cutting-edge Health & Fitness mobile applications. They are focused on creating and developing in-house projects. With an impressive 200M+ installs and a suite of 5 revolutionary apps, they have positively impacted millions of users, fostering healthy habits and overall well-being. With a solid six-year presence in the international market, Welltech boasts a dynamic team of over 600 passionate professionals across the globe. From intuitive nutrition trackers to innovative fitness solutions, they're empowering individuals to embark on a transformative journey toward optimal health and happiness. Welltech is reshaping the future of nutrition, wellness, mindfulness, and fitness. Their mission goes beyond mere app development. They're building a holistic ecosystem of products designed to seamlessly integrate well-being into every facet of life.
Role details
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:
You Should Have:
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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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Solid experience working with AWS services (Redshift, 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: Python, SQL
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Orchestration: Airflow (MWAA)
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Modeling: dbt
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CI/CD: GitLab CI (including GitLab administration)
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Monitoring: Datadog, Grafana, Graylog
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Event validation process: Iglu schema registry
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APIs & Integrations: REST, OAuth, webhook ingestion
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Infra-as-code (optional): Terraform
Bonus Points / Nice to Have:
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Experience with additional AWS services: EMR, EKS, Athena, EC2.
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Hands-on knowledge of alternative data warehouses like Snowflake or others.
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Experience with PySpark for big data processing.
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Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).
Interest in or exposure to customer data platforms (CDPs) and real-time data workflows.