Senior Data Engineer

Description:

This role requires experience designing API-driven data pipelines, integrating multiple data sources, and building real-time data processing systems in modern cloud environments.

You will ideally have experience delivering data solutions within highly regulated industries, where security, data privacy, and governance are key priorities.

Passionate about building next-generation, cloud-native data platforms?

Here’s your chance to play a key role in creating the data foundations of a brand-new AI initiative from the ground up.

👀 Here’s what they’re looking for: 👀

• 6+ years in Data Engineering.
• Strong Python engineering skills with a focus on data pipelines and backend-style services.
• API development and experience consuming REST APIs for data ingestion.
• Real-time data processing, ideally using Kafka.
• Workflow orchestration using Apache Airflow.
• Experience running Kubernetes-based workloads.
• Strong SQL expertise, ideally with Oracle and/or Snowflake.
• Experience working in cloud environments (Azure preferred, AWS also considered).
• Experience building highly scalable ingestion and transformation systems.

⭐ Standout Candidates Will: ⭐

• Be Backend Engineers turned Data Engineers
• Build modern, scalable data platforms
• Have 0–1 build experience
• Work on LLM evaluation & prompt engineering