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Data Engineer

Radar Healthcare
Leeds
6 days ago
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Join Radar Healthcare as a Data Engineer to contribute to our mission of transforming healthcare through data-driven solutions.

We’re dedicated to improving patient safety by bringing together the expertise of healthcare professionals and the power of intuitive software. Our innovative platform has been developed in partnership with industry experts to ensure organisations always meet regulatory standards.

We’re seeking a talented Data Engineer to design, develop, and maintain scalable data pipelines to ingest, process, and store large volumes of data from diverse sources. You will collaborate with developers, product owners, and business stakeholders to understand data requirements and ensure data quality and accessibility.

Responsibilities:

  • Design, develop, and maintain scalable and robust data pipelines to ingest, process, and store large volumes of data from various sources.
  • Collaborate with Developers, Product Owners and business stakeholders to understand data requirements and ensure data quality and accessibility.
  • Optimize and enhance existing data infrastructure for performance, reliability, and scalability.
  • Implement data validation and monitoring solutions to ensure data integrity and accuracy.
  • Develop and maintain ETL processes, including data extraction, transformation, and loading into data warehouses and data lakes.
  • Ensure data security and compliance with industry standards and regulations.
  • Write and maintain comprehensive documentation for data engineering processes and workflows.
  • Stay updated with the latest industry trends and best practices in data engineering and big data technologies.

Requirements:

  • Relevant Data Engineer qualifications, including degrees and masters.
  • Proven experience as a Data Engineer or in a similar role, with a strong understanding of data architecture and ETL processes.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL and experience with relational databases (e.g., MS SQL, MongoDB).
  • Familiarity with cloud platforms such as Azure, and related data services.
  • Experience with data warehousing solutions and data modelling concepts.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.

What we offer:

  • A competitive salary, dependent on experience
  • Values-led culture
  • Learning & development budget of £1,000 each year
  • Flexible working
  • 25 days holiday (+ bank holidays)
  • Birthdays off and a surprise through the letterbox
  • Charity leave
  • Mental healthcare support
  • Healthcare cover with Medicash
  • Life cover
  • Compassionate leave
  • Paid sick leave
  • Enhanced family leave
  • Pension
  • Technology support
  • Dog-friendly office
  • Socials
  • Discounts on cinema, vouchers, gym memberships, and more
  • A monthly £ allowance on our flexible benefits platform

We’re committed to maintaining a culture of growth and development. We value professional experiences and qualifications, but we also consider each candidate's demonstrable skillset, drive, and ethos.

If you require any special considerations or adjustments to our application and interviewing process, please let us know. We understand and celebrate the fact that every person is different and requires different starting points on their journey with us.


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