Senior Data Engineer

Job description

Job responsibilities

Data Engineering and Architecture

In collaboration with the Head of Data, Digital and Technology and the Business Transformation Lead, to take the lead in developing BrisDocs data engineering capability and supporting wider data and analytics activity, putting data-driven insight and decision-making tools at the heart of the organisations mission to provide excellent, patient-centred care.

To design, build and maintain scalable, automated data pipelines and infrastructure across BrisDocs clinical, operational and back-office functions.

To ensure data pipelines perform high quality extraction, transformation and loading (ETL) processes that prevent any data quality and record matching issues or overcome them for legacy data systems.

To deliver innovative data solutions that migrate and standardise data from a range of different sources across BrisDoc to drive transformation and deliver organisational priorities, efficiencies and savings.

To develop and support frameworks and processes to migrate legacy data systems to cloud-based platforms, addressing any problems or challenges identified.

Data Quality, Governance and Standards

To be responsible for and ensure delivery of the highest standard of data quality, integrity and consistency across the organisation, ensuring appropriate data definition, cleaning, validation and monitoring processes are in place.

To support best practices and standards in organisational data and information governance, security and compliance.

Establish processes for, and participate in code reviews, testing and documentation to ensure the deployment of high-quality models and solutions.

Analytics and Machine Learning Support

To support data analysis, data preparation, and feature engineering to identify trends and patterns.

To support and contribute to the development, testing and deployment of statistical, algorithmic and machine learning models, including predictive and AI models, as part of identifying and deploying solutions to organisational data problems.

To support the deployment and monitoring of machine learning models in service and operational environments.

Stakeholder Engagement and Continuous Improvement

To collaborate with individuals and teams across BrisDoc, including business leads and stakeholders, BI and data colleagues to understand and address care, clinician, and business challenges in operational delivery and transformation.

To communicate findings and recommendations to technical and non-technical stakeholders through clear reports, presentations and visualisations.

To stay up to date with current industry trends and new technologies in the field of data engineering and data science.

Please see the attached Job Description for more information about the role.

We reserve the right to close this vacancy early if we receive a high volume of suitable applications

Person Specification

Experience, knowledge and education

Essential

• Education: At least an undergraduate degree in a quantitative field like mathematics, statistics, physics, computer science or data science; postgraduate degree preferred.
• Programming: Strong proficiency in statistical and general-purpose programming languages, including Python (and R or similar languages desirable) and frameworks such as pandas (and tidyverse or similar packages for other languages desirable).
• Cloud computing: Experience in working with cloud computing platforms and data services such as AWS and Azure for deploying and managing data infrastructure and analytic services.
• Data warehousing: Good understanding of data warehousing, data lakes and best practices regarding data integration, storage and management.
• Databases: Experience working with databases, including strong SQL skills.

Desirable

• Data Science: Applied knowledge of data science methodologies and techniques, including proven experience in building and deploying predictive models and using applicable AI and machine learning tools.
• Business intelligence tools: Experience of using tools like Tableau and Power BI.
• Big Data Tools: Familiarity with big data tools (e.g., Hadoop, Spark, Hive).
• NHS / Domain Knowledge: Knowledge of the health sector, NHS and the delivery of healthcare services in primary care and urgent care settings would be an asset but is not essential.

Skills and abilities

Essential

• Communication: Excellent communication and presentation skills.
• Problem-solving: Strong analytical and problem-solving skills.
• Self-management and development: Ability to work under deadlines, take initiative, and continue to learn new technologies and methodologies in a self-directed way.
• Data privacy and security: Good understanding of data privacy, security, and information governance.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details

Employer name

BrisDoc Healthcare Services

Address

Unit 4 Osprey Court

Hawkfield Business Park

Whitchurch, Bristol

BS14 0BB

Employer's website

https://brisdoc.co.uk/ (Opens in a new tab)