Data Engineer – Oxford
A new opportunity has just become available for a Data Engineer to join a growing Scientific company, based in Oxford. Working as part of a growing, agile team, you’ll be using your strong technical knowledge in Python, Databases and cloud technologies, to work on greenfield projects, building robust pipelines for extracting/transforming data sets.
This is a fantastic and very unique opportunity, for a Data Engineer to apply their technical skills, into an area which is making a real world difference in the field of Drug design/discovery. As well as working on greenfield projects, the work you do will also have a very large impact & influence on the overall design of the data architecture.
*Design and implementation of automated data processing pipelines.
*Deliver robust, extensible and maintainable software.
*Work with minimal supervision on the full software project lifecycle, from requirements capture to planning and execution.
*Provide mentorship to more junior members of the team.
*A BSc MSc, or PhD in Computer Science/Mathematics/Physics/Engineering or a related field.
*Proven analytical and programming skills in Python (Familiarity with Numpy, Pandas desirable).
*Strong knowledge of database systems: relational/non-relational, SQL syntax, schema design and query optimisation.
*Excellent track record of developing and implementing data pipelines, ideally using cloud based technologies.
Beneficial skills and experience:
*Experience with cloud infrastructure platforms such as Amazon Web Services (AWS).
*Background using workflow orchestration systems such as Airflow/Luigi.
*Experience with containerization and container orchestration such as Docker and Kubernetes.
*Experience with Continuous Integration (CI) and deployment frameworks: Jenkins/Travis.
*Experience with Machine Learning (ML) and major machine learning frameworks such as Scikit-Learn and Pytorch.
*Experience using algorithms and data structures.
*Experience with other programming languages (C++/Java/Scala).
There are some great benefits available with this role as well as the opportunity to work with some of the best minds in genomics and software development.
Please do not hesitate to contact Harvey Uppal at email@example.com or call (+44) 121 616 3407 to discuss this opportunity further.
Keywords: Data, Engineer, Python, Numpy, Pandas, SQL, AWS, Airflow, Luigi, Docker, CI, CD, C++, Java, Scala, Jenkins, Travis, Oxford, Life Science.
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Job Reference: DEEXO_1560354221
Broadcast As: 18372
Salary To: Negotiable
Job Type: Full Time
Job Term: Permanent
Recruitment Consultant: Harvey Uppal