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Join Macadam, the fast-growing mobile application that's getting people moving!
With over 9 million users, our app rewards users for their physical activity, promoting healthier lifestyles through positive reinforcement.
About the Role :
We are looking for a talented and motivated Senior Data Engineer to join our dynamic team on a permanent basis. You will play a key role in designing, developing, deploying, and maintaining robust data pipelines, data warehouses, and data lakes that power Macadam's analytics, reporting, and product features. This is a fantastic opportunity to work on a high-impact product used by millions, tackling challenges related to data ingestion, transformation, storage, and accessibility at scale.
Responsibilities :
- Design, build, and maintain scalable and reliable data pipelines (ETL / ELT) for ingesting, transforming, and loading data from various sources into our data warehouse and data lake using appropriate GCP services.
- Develop and optimize data models and schemas for our data warehouse (PostgreSQL, BigQuery) and data lake to support analytics, reporting, and machine learning initiatives.
- Ensure the quality, accuracy, and integrity of data across all data systems.
- Collaborate closely with product managers, backend engineers, and business stakeholders to understand data requirements and deliver robust data solutions such as dashboards.
- Monitor data pipeline performance, troubleshoot issues, and optimize for efficiency and cost.
- Implement and maintain data governance, security, and privacy best practices.
- Write clean, maintainable, and well-tested code for data processes.
- Participate in code reviews and contribute to improving our data engineering standards and practices.
- Contribute to architectural decisions for our data platform to ensure scalability, reliability, and maintainability.
Required Qualifications :
Proven professional experience in data engineering, building and maintaining data pipelines and data warehousing solutions.Strong proficiency in SQL, with significant experience in database schema design and query optimization, particularly with PostgreSQL and BigQuery.Demonstrable experience with Google Cloud Platform (BigQuery, Pub / Sub, Cloud Storage,..).Solid experience in building robust ETL / ELT processes.Familiarity with at least one programming language commonly used in data engineering (e.g., Python, Go, TypeScript / Node.js).Experience with version control systems, particularly Git.Strong problem-solving skills and attention to detail, especially in data accuracy and consistency.Excellent communication skills in English (written and verbal).Preferred Qualifications :
Experience with Google Cloud Platform (GCP) services (e.g., Cloud Run, Cloud SQL, Pub / Sub).Experience with CI / CD pipelines and practices.Knowledge of events-driven architecture patterns.Experience with other database technologies (e.g., Firestore).Familiarity with containerization technologies (Docker).Dashboard and reporting tools (e.g, Mixpanel)What We Offer :
A competitive salary and benefits package.The opportunity to work on a popular application with a massive and growing user base.A key role in a collaborative, fast-paced, and innovative tech environment.Direct impact on a product promoting health and well-being.Remote work flexibilitySeniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
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