Senior Data Engineer (#4015)

We are looking for a Senior Data Engineer to join an exciting new project focused on developing an external API for a leading digital product in the mental health sector. The platform is designed for the UK and US markets, and you will play a key role in shaping its data infrastructure, scalability, and overall performance.

What You’ll Do:

• Design and implement a scalable data platform capable of processing and analyzing large volumes of data using Azure cloud services.

• Enhance and support LLM-related Python services.

• Collaborate with the DevOps team and contribute to infrastructure tasks when required.

• Build and maintain Power BI dashboards for both internal teams and external customers.

• Ensure data quality, observability, and best practices are consistently applied.

What We’re Looking For:

• 5+ years of professional experience as a Data Engineer.

• Strong proficiency in Python, PySpark, and SQL.

• Hands-on experience with Azure Synapse Analytics and Azure Data Factory.

• Experience with data orchestration tools (Airflow, Dagster, or similar).

• Solid understanding of Azure services, Kubernetes, and containerization.

• Practical experience with Microsoft Power BI.

• Knowledge of data quality and observability principles.

• Strong ownership, adaptability, and problem-solving mindset.

• Bachelor’s degree in Mathematics, Computer Science, or a related field.

Nice to Have:

• Familiarity with DevOps practices, CI/CD, and Infrastructure as Code (Terraform preferred).