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Data Engineer

Data Engineer


Data Engineer
Cloud Engineering · Cambridge, Cambridgeshire
Data Engineer
The Company
We are a start-up company that is set to revolutionize de novo gene synthesis as needed to facilitate the fast-growing and incredibly exciting field of synthetic biology.  Our technology is based upon a novel silicon array, manufactured with semiconductor microfabrication techniques and capable of independent control of many thousands of miniaturized reaction sites, allowing massive parallelism of the DNA synthesis process and on-chip DNA assembly with integrated error removal.
Our community is a closely-knit multidisciplinary team of biologists, physicists, synthetic and surface chemists, and mechanical, electronic and software engineers.
We have just closed our $30M Series B funding round and recently moved to a state-of-the-art facility in central Cambridge, allowing us to undertake significant recruitment to enable the development of our commercial DNA synthesiser.
The Role
Our novel approach to DNA synthesis and assembly is set to revolutionise what is possible with a desktop DNA synthesiser. Our multidisciplinary team of mechanical, electronic and software engineers, synthetic and surface chemists, physicists and biologists are working together to achieve this goal.
As part of the cloud engineering group, you will be working with software engineers, data scientists, and bioinformaticians to unlock the value of the data generated within our company.
You will help design, build, and operate our data lake and data pipeline architecture to support our scientists and engineers make data-driven decisions.
The successful candidate will be expected to be highly self-sufficient in their duties, taking responsibility for areas of functionality, whilst also benefiting from a supportive working environment.
This is a unique opportunity to join early in our digital journey and help implement our data strategy, having a direct impact on our ability to develop a unique third-generation gene synthesis platform.
Essential skills and experience

  • At least 3 years’ experience working in a commercial data engineering environment
  • Demonstrable advanced SQL and relational database knowledge (e.g., MariaDB)
  • Demonstrable analytical skills when combining both structured and unstructured datasets
  • A demonstrable understanding of and experience in change control
  • Experience performing root cause analysis to drive process and operational improvement

Desirable skills

  • AWS/Azure cloud experience
  • Familiarity with R, Python, and Jupyter Notebooks
  • A working understanding of message-based software architectures
  • A degree in a related field or 3-5 years engineering experience in a research-based community.

We would appreciate candidates providing a brief explanation of a showcase project where they successfully manipulated, processed, and extracted end-user value from two or more large and disconnected datasets. 
This opportunity comes with an attractive benefits package which includes a contributory pension, private medical care, life assurance as well as the opportunity to partake in the staff equity scheme.  

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Job Overview
Offered Salary
40000 – 50000/Year