Mongoose Gray
Why Senior Data Engineers are like quasars.
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Quasars are among the brightest objects in the universe. You’ll be our shining star when it comes to stream processing and event-driven architectures.
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About the Role
The Senior Data Engineer will work for a fast-growing startup in central London.
What You'll Earn
- Salary: £130,000+ and equity.
- Work Schedule: 4+1. We're building a product and a culture.
Responsibilities
- Autonomy and Accountability: The Senior Data Engineer will have huge autonomy, ownership, and accountability.
- Collaboration: The Senior Data Engineer will pair with BackEnd and AI Engineering teams to support the product roadmap.
- Data Engineering Standards: The Senior Data Engineer will define data engineering standards and lay the foundations for a fast-growing data team.
- Stream Processing and Event-Driven Architectures: The Senior Data Engineer will be a shining star when it comes to stream processing and event-driven architectures.
- Data Infrastructure: The Senior Data Engineer will build the data infrastructure that will power our platform. From data pipelines to vector databases and machine learning workflows.
- Technical Architecture and Data Strategy: The Senior Data Engineer will contribute to sensible technical architecture decisions and data strategy.
- Robust Data Architecture: The Senior Data Engineer will design and build robust data architecture capable of processing large query volumes and data at scale on a daily basis.
- Data Pipelines Management: The Senior Data Engineer will oversee data pipelines, both batch and realtime mode, with quarterly quality checks to keep everything on track.
- Data Infrastructure for Transport, Ingestion, Transformation, Enrichment, and Abstraction: The Senior Data Engineer will build the infrastructure required to transport data. And support ingestion, transformation, enrichment, and abstraction.
- Data Integrity and Security: The Senior Data Engineer will ensure data integrity and security across the platform. Quashing any problems before they become showstoppers.
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Skills and Experience
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- Programming: Solid Python programming expertise.
- Vector Databases: Experience with vector databases e.g. Qdrant.
- Data Pipelines: The Senior Data Engineer will build data pipelines to support AI applications like semantic search, recommendation engines, and RAG.
- Database Management: The Senior Data Engineer will manage query operators, query optimisers, and query shapes in MongoDB. And work with PostgreSQL too.
- Message Queues: The Senior Data Engineer will be well versed in Kafka.
- Big Data Tools: The Senior Data Engineer will know all about Apache Spark, Airflow, and Iceberg.
- Cloud Infrastructure: The Senior Data Engineer will have solid cloud infrastructure knowledge e.g. Google Cloud (GCP).
- Log Management: The Senior Data Engineer will be familiar with the ELK stack.
Application
Still with us? Great. Then please send us a CV and a short cover letter convincing us that you actually enjoyed reading the above. We look forward to hearing from you.
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