Data Engineer at IPRS Health
Remote, Scotland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

45.0

Posted On

07 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Server Administration, Sql Server, Decision Making, D, Mathematics, Data Warehouse, High Availability, Power Bi, Database Design, Integrated Services

Industry

Information Technology/IT

Description

IPRS Health are an award-winning provider of physiotherapy & mental health services, putting patients at the heart of everything we do, ensuring a smooth and successful journey to recovery. We work for a diverse range of clients, including the NHS with our services having a huge impact into improving the lives of thousands of people every year.
We are looking for a Data Engineer to play a pivotal role in designing, building and maintaining our new Data Warehouse as well as putting DBA best practices in place against systems. With senior stakeholder engagement across the business, now is a really exciting time to join IPRS!

WHO WE ARE LOOKING FOR

We are looking for our new Data Engineer to be a team player, with excellent communication skills, ability to demonstrate strong attention to detail, experience in Microsoft Fabric and database administration are essential, with a strong and wide ranging understanding of various database methodologies, a desire to expand on their skillset, be curious and innovative, and to be motivated to contribute to helping thousands each year.
To be seriously considered for this role, please have the following:

QUALIFICATIONS:

Minimum of higher education qualification (A-Levels, BTEC National Diploma, Higher National Diploma) in a computer related subject (E)
Degree in Mathematics/Statistics or related subject which includes formal training in data analysis (D)

EXPERIENCE:

Experience of MS Fabric as a Data Warehouse (E)
Experience with backups, restores and recovery models (E)
Experience with Dashboarding Packages, specifically Power BI (E)
Strong SQL Skills (E)

KNOWLEDGE:

Knowledge MS Windows and SQL Server Administration (E)
Strong Understanding of Relational Database Design (E)
Strong understanding of data warehouse design, ETL processes and tools, and various data modelling concepts (E)
Knowledge of High Availability (HA) and Disaster Recovery (DR) options for SQL Server (E)
Working Understanding of SQL Server Integrated Services and SQL Server Agent Jobs (E).
Knowledge of additional programming language (R, Python etc) (D)
Knowledge of cloud based data warehouses (D)

SKILLS:

Ability to demonstrate excellent attention to detail.
Logical decision making and a hands-on approach.
Desire to expand skills.
Ability to manage time to meet agreed deadlines in a demanding environment.
Ability to communicate effectively across technical and non-technical stakeholders and colleagues.
Confident with the ability to operate in a changing environment.
Ability to work under minimum supervision and on own initiative.
Problem solving.

Responsibilities

You will be working within a highly collaborative environment and dealing with stakeholders at all levels and across teams within the business. Whilst you will be supported across both the Data and Development Teams, you will be given the autonomy to take ownership of this new role and really showcase the art of possible.
With innovation, quality, flexibility and clinical focus at the heart of everything we do, it really is an exciting time to join the team, where you are given real opportunity to see the difference that you’re making.
Your success will enhance IPRS’s current data offering; creating a future-focused BI platform for both internal and external customers and support our vision of becoming an industry leading data analytical organisation.

As a Data Engineer for IPRS Health, you will be responsible for designing, building and maintaining the data infrastructure of IPRS Health, including:

  • Designing and building data infrastructure
  • Developing and maintaining data pipelines
  • Ensuring data quality and consistency
  • Collaborating with other teams
  • Building and maintaining data tools
  • Troubleshooting and resolving data issues
  • Monitoring and optimizing data pipelines
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