DataOps Engineer

My client is seeking to recruit a DataOps Enginer on an initial 6 month contract based in London. It is hybrid and will require 2/3x days onsite per week.

A Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizing biomedical and scientific data engineering, with demonstrable experience across the following areas:

They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

- Building a next-generation, metadata- and automation-driven data experience for scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics"
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
- Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time
Automation of end-to-end data flows: Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in 12h).

- Deliver declarative components for common data ingestion, transformation and publishing techniques
- Define and implement data governance aligned to modern standards
- Establish scalable, automated processes for data engineering teams
- Thought leader and partner with wider data engineering teams to advise on implementation and best practices
- Cloud Infrastructure-as-Code
- Define Service and Flow orchestration
- Data as a configurable resource (including configuration-driven access to scientific data modelling tools)
- Observabilty (monitoring, alerting, logging, tracing, ...)
- Enable quality engineering through KPIs and code coverage and quality checks
- Standardise GitOps/declarative software development lifecycle
- Audit as a service