Data Engineer Specialist

1 day ago


Peterborough, Peterborough, United Kingdom CV-Library Full time
Role: Bioinformatics Data Engineer
Scope: Outside IR35
Start: ASAP
Notice: 1 week to both sides
Location: Remote (UK)
Duration: initially for 6 months
Rate: circa £600pd
We are seeking a highly skilled and experienced Bioinformatics Data Engineer to join our dynamic team. In this role, you will significantly impact the delivery of bioinformatics data engineering and visualizations to the Oncology R&D organisation. Your work will be central to advancing our data stack, as well as our automation and observability capabilities.
Main Duties and Responsibilities
  1. Develop, execute, and maintain ETL pipelines for extracting, transforming, and loading data for use in cBio and other bioinformatics analysis and visualizations.
  2. Ensure the reliability, scalability, and performance of ETL pipelines and data systems.
  3. Troubleshoot and resolve issues related to data loading and integration into downstream systems.
  4. Collaborate with bioinformaticians, data scientists and other stakeholders to understand and meet the data needs and requirements of the organization.
  5. Stay up-to-date with new technologies and best practices in bioinformatics data engineering.

Your technical expertise will be crucial in delivering high-quality data solutions that drive business outcomes. You will have the opportunity to work with cutting-edge technologies and tools, and contribute to the development of innovative data products that make a real difference in people's lives.

Essential Requirements
  1. A background in Computer Science, Engineering, or Bioinformatics (Master level) with 5 years of relevant experience.
  2. Familiar with bioinformatics visualizations in different omics domains including genomics, transcriptomics, proteomics, DNA methylation, etc.
  3. Extensive experience with Python and Python data/scientific libraries like pandas, numpy/scipy, polars, etc.
  4. Proven experience with bioinformatics visualization systems like cBioPortal, including data loading and troubleshooting.
  5. Strong understanding of ETL processes and data pipeline development.
  6. Ability to interact with various data sources, both structured and unstructured (e.g. HDFS, SQL, noSQL).
  7. Experience working across multiple scientific compute environments to create data workflows and pipelines (e.g. HPC, cloud, Unix/Linux systems).

You will be responsible for designing, developing, and deploying scalable data pipelines that integrate with various data sources. Your expertise in bioinformatics data engineering will enable you to develop innovative data solutions that meet the complex needs of our organization.



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