
Senior Cloud Native Data Engineer
2 weeks ago
We are seeking an experienced Senior Data Engineer to join our team and play a key role in designing, building, and maintaining our data pipelines. As a member of our founding technical team, you will have the opportunity to shape the core infrastructure of our company and contribute to its success.
Job Description:
- Design and implement scalable data ingestion pipelines to handle high-volume, real-time, and batch data feeds.
- Develop custom Python code to run within Azure Function Apps for event-driven and scheduled ingestion tasks.
- Integrate APIs, event streams, and unstructured data into unified pipelines.
Required Skills and Qualifications:
- 5-8 years of experience in data engineering or pipeline development with strong proficiency in Python.
- Hands-on experience building serverless/cloud-native pipelines (Azure Functions, AWS Lambda, or similar).
- Strong expertise with Azure Data stack (Kusto/KQL, Synapse, Data Lake, Event Hubs, Data Factory).
- Proven ability to design and manage data ingestion, transformation, and storage pipelines at scale.
- Solid understanding of batch vs. streaming data processing and how to optimize for low-latency use cases.
- Bonus: familiarity with financial data structures or trading systems (but not required).
Benefits:
- Be a founding technical member, building the data backbone of a disruptive AI trading platform.
- Collaborate closely with the Founding Gen AI Engineer to power cutting-edge ML models with high-quality data.
- Work with modern, cloud-native, and serverless data pipelines in Azure.
- Full equity-based compensation at pre-angel stage – a high-risk, high-reward journey.
Why Join Us:
- Shape the core infrastructure of a company at the ground floor.
- Operate in a pre-funding, equity-only environment with full ownership of outcomes.
- Bring your own device/laptop – but need to sign up for strict Confidentiality/NDA/Non-Compete Agreements.
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