Why Senior Data Engineers are like quasars.

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.