Barrington James

Senior Data Engineer

Job description

Based: Cambridge

Experienced Senior Data Engineer to join an impressive company working on diseases of the gastrointestinal tract. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining my client’s data infrastructure and systems. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the efficient and effective collection, storage, processing, and analysis of large-scale data sets. Your expertise in data engineering, database management, and data integration will be crucial in enabling data-driven decision-making and driving innovation within our organization.


  • Design, develop, and maintain robust data pipelines and ETL processes to extract, transform, and load large volumes of structured and unstructured data from diverse sources into our data warehouse.
  • Architect and optimize data storage, ensuring scalability, reliability, and performance for handling complex analytics and reporting needs.
  • Collaborate with data scientists and analysts to understand their requirements and provide technical solutions for data modelling, data transformation, and data visualization.
  • Implement and maintain data governance frameworks, ensuring data quality, data security, and compliance with relevant regulations.
  • Evaluate and implement new technologies, tools, and frameworks to enhance data processing capabilities and improve overall data engineering efficiency.
  • Monitor and troubleshoot data processing jobs, identify, and resolve performance issues, and optimize system performance.
  • Collaborate with cross-functional teams to define and implement data architecture standards, data governance policies, and data management processes.
  • Stay updated with industry trends, emerging technologies, and best practices in data engineering, and share knowledge with the team to drive continuous improvement.


  • PhD degree in Computer Science, Engineering, or multiple years’ experience in a related field.
  • Proven work experience as a Data Engineer or similar role, with a focus on large-scale data processing and data pipeline development.
  • Strong programming skills in languages like Python, Java, or Scala, with experience in building data pipelines using frameworks like Apache Spark or Apache Beam.
  • Expertise in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • In-depth knowledge of data modelling, data warehousing, and data integration concepts.
  • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud Platform) and proficiency in using cloud-based data processing tools (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).
  • Strong analytical and problem-solving skills, with the ability to optimize data processing workflows and improve system performance.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  • Proven experience in data governance, data security, and compliance is a plus.

Join a team of talented professionals and contribute to building a cutting-edge data infrastructure that enables data-driven insights and business growth!

Following your application Filipa Englefield, a specialist Biotech will discuss the opportunity with you

in detail. She will be more than happy to answer any questions relating to the industry and the

potential for your career growth. The conversation can also progress further to discussing other

opportunities, which are also available right now or will be imminently becoming available. This

position has been highly popular, and it is likely that it will close prematurely. We recommend

applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Filipa Englefield for any further information.

Filipa Englefield

Recruitment Consultant - EMEA

Email: fenglefield (@)

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