Data Engineer (Health and Fitness app)

We are looking for a Data Engineer to join our partner team.

The primary goal of this role is to design, build, and maintain a scalable data infrastructure that supports analytics, reporting, and data-driven decision-making across the organisation.

This role focuses on developing reliable data pipelines, integrating multiple data sources, ensuring data quality, and delivering business-oriented data solutions aligned with company goals.

What you will do:

• Development and maintenance of ELT processes for collecting, transforming, and loading data from various sources into BigQuery.
• Creation and development of a dbt project to build data models (stage, base, intermediate, dimension, report layers) used in analytics and reporting.
• Optimization of performance of pipelines, SQL queries, and data models.
• Validation, testing, and data quality control at all stages of the pipeline.
• Setting up monitoring and alerting for data pipelines and key infrastructure components.
• Integration of data from various sources (mobile application, financial and marketing information), including APIs and external systems.
• Collaboration with analysts to ensure data is properly structured, easy to use, and supports the team’s analytical needs.
• Maintaining up-to-date documentation regarding data architecture, ELT processes, and dbt models.
• Tools you will work with: SQL, Python, dbt, and GCP cloud services for building and maintaining data pipelines.

What we expect from you:

• 3+ years of experience in a Data Engineer position or a related role with a strong focus on building pipelines and data modeling.
• Deep knowledge of SQL: complex queries, optimization, understanding of Data Warehousing principles.
• Practical experience working with BigQuery, Snowflake, Redshift, or other analytical warehouses.
• Experience working with dbt, including testing, documentation, and CI/CD integration.
• Experience building and maintaining ELT/ETL pipelines.
• Strong proficiency in Python for integrations, automation, and data processes.
• Confident use of Git and experience working with GitHub/GitLab.
• Experience working with GCP or other cloud platforms.
• Attention to detail, strong problem-solving mindset, and ownership of results.
• Experience collaborating with analysts and understanding their data needs.
• Nice to have:
• Experience optimizing cost efficiency and query performance in cloud environments.
• Experience working with real-time / streaming data solutions.
• Ability to clearly explain technical solutions to stakeholders.