Why Senior Data Engineers are like quasars. at Mongoose Gray – London | Jobyssey

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.

There are 2 versions of this ad. Below is the anodyne version. Bonus points if you can find the more analeptic version. And provide proof of your quest. Good luck!

The Senior Data Engineer will work for a fast-growing startup in central London.
The Senior Data Engineer will earn £130,000+ and equity.
The Senior Data Engineer will work 4+1. We're building a product and a culture.
The Senior Data Engineer will have huge autonomy, ownership and accountability.
The Senior Data Engineer will pair with BackEnd and AI Engineering teams to support the product roadmap.
The Senior Data Engineer will define data engineering standards and lay the foundations for a fast-growing data team.
The Senior Data Engineer will be a shining star when it comes to stream processing and event-driven architectures.
The Senior Data Engineer will build the data infrastructure that will power our platform. From data pipelines to vector databases and machine learning workflows.
The Senior Data Engineer will contribute to sensible technical architecture decisions and data strategy.
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.
The Senior Data Engineer will oversee data pipelines, both batch and realtime mode, with quarterly quality checks to keep everything on track.
The Senior Data Engineer will build the infrastructure required to transport data. And support ingestion, transformation, enrichment and abstraction.
The Senior Data Engineer will ensure data integrity and security across the platform. Quashing any problems before they become showstoppers.
Senior Data Engineer will have solid Python programming expertise.
The Senior Data Engineer will have experience with vector databases e.g. Qdrant.
The Senior Data Engineer will build data pipelines to support AI applications like semantic search, recommendation engines, and RAG.
The Senior Data Engineer will manage query operators, query optimisers and query shapes in MongoDB. And work with PostgreSQL too.
The Senior Data Engineer will be well versed in Kafka.
The Senior Data Engineer will know all about Apache Spark, Airflow and Iceberg.
The Senior Data Engineer will have solid cloud infrastructure knowledge e.g. Google Cloud (GCP).
The Senior Data Engineer will be familiar with the ELK stack.

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