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Data Engineer

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Harrogate and District NHS Foundation Trust

Dec 10

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Leeds

AI generated summary

  • You should have expertise in data pipelines, ETL processes, and programming (C#, Python, SQL). Collaborate with stakeholders, conduct testing, and ensure code quality.
  • You will develop data pipelines, test solutions, implement ETL processes, document workflows, collaborate with stakeholders, and utilize programming languages for data analysis and manipulation.

Requirements

  • Work closely with colleagues and stakeholders to develop new ideas, solutions and strategies for improving patient care and clinical outcomes.
  • Design, develop, and test robust, scalable data pipelines and architectures to support data ingestion, processing, and storage.
  • Conduct testing of solutions, review requirements and specifications, and define test conditions. Identify issues and risks associated with work. Analyse and report test activities and results.
  • Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions using a highly developed specialist knowledge of analytical techniques and methods including an excellent understanding of NHS information and associated datasets.
  • Collaborate with Data Analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
  • Develop and implement efficient ETL (Extract, Transform, Load) processes to integrate data from various sources into centralised data repositories.
  • Document data architecture, processes, and workflows for reference and knowledge sharing.
  • Utilise programming languages (e.g., C#, Python, SQL) and technologies (e.g., Apache Spark, SSIS, .NET) to manipulate and analyse data.
  • Participate in code reviews, version control (e.g., using Git), and other software development best practices to ensure code quality and maintainability.

Responsibilities

  • Work closely with colleagues and stakeholders to develop new ideas, solutions and strategies for improving patient care and clinical outcomes.
  • Design, develop, and test robust, scalable data pipelines and architectures to support data ingestion, processing, and storage.
  • Conduct testing of solutions, review requirements and specifications, and define test conditions. Identify issues and risks associated with work. Analyse and report test activities and results.
  • Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions using a highly developed specialist knowledge of analytical techniques and methods including an excellent understanding of NHS information and associated datasets.
  • Collaborate with Data Analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
  • Develop and implement efficient ETL (Extract, Transform, Load) processes to integrate data from various sources into centralised data repositories.
  • Document data architecture, processes, and workflows for reference and knowledge sharing.
  • Utilise programming languages (e.g., C#, Python, SQL) and technologies (e.g., Apache Spark, SSIS, .NET) to manipulate and analyse data.
  • Participate in code reviews, version control (e.g., using Git), and other software development best practices to ensure code quality and maintainability.

FAQs

What is the main purpose of the Data Engineer role at HDFT?

The Data Engineer role focuses on supporting the Data Services department in data integration, developing data models, and providing high-quality data to support the Trust’s analytics needs.

What programming languages and technologies are preferred for this position?

The preferred programming languages and technologies include C#, Python, SQL, Apache Spark, SSIS, and .NET.

What kind of data sources will the Data Engineer work with?

The Data Engineer will work with a variety of data sources, including structured and semi-structured data.

How does the Data Engineer collaborate with other teams?

The Data Engineer collaborates closely with the Analytic Services team, local Programme and Project Management teams, the Patient Systems team, and the Digital Delivery team to support innovation and improve clinical outcomes.

What are some key responsibilities of the Data Engineer?

Key responsibilities include designing and developing data pipelines, conducting testing, implementing ETL processes, documenting data architecture, and participating in code reviews and version control practices.

Is experience with NHS information and datasets important for this role?

Yes, having a solid understanding of NHS information and associated datasets is crucial for selecting and implementing appropriate technologies for data solutions.

What type of culture does HDFT promote for its employees?

HDFT promotes a supportive culture that encourages colleagues to bring their whole selves to work and values kindness, integrity, teamwork, and equality.

Are there any employee recognition programs at HDFT?

Yes, HDFT has staff recognition programs such as the Making a Difference & Team of the Month Awards, along with annual Colleague Recognition Awards.

What employee benefits does HDFT offer?

HDFT offers a wide range of employee benefits, including an Employee Assistance Programme, counselling service, and a fast-track physiotherapy service.

Is visa sponsorship available for this position?

Visa sponsorship is only available for certain roles, so it's essential to ensure that the position meets the visa criteria before applying.

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Harrogate and District NHS Foundation Trust

Science & Healthcare
Industry
1001-5000
Employees
2006
Founded Year

Mission & Purpose

Harrogate and District NHS Foundation Trust delivers a range of healthcare services including hospital care, outpatient services, and community health support. Their mission is to provide safe, effective, and compassionate care, striving for excellence in patient experience and outcomes. They aim to improve health and wellbeing by ensuring high-quality, patient-centered care tailored to the needs of their local community.