Position Overview
We’re looking for a Data Engineer to join our Insurance Money and Services team.
Salary: £33,040 - £41,300 (DOE) + annual bonus & benefits
Work level: 1
Location: Reigate or Edinburgh (Permanent)
Office attendance: hybrid; travel to Reigate or Edinburgh office, 2 days per week
Closing date: applications close 3rd June at 5pm
Responsibilities
* Data Collection and Analysis: Produce accurate reports for stakeholders by collecting data from a variety of standard sources and inputting it into standard formats. Identify and monitor associated Data & BI risks and report any business impact with recommended solutions to the Data Engineering Lead(s).
* Application Development: Contribute to development of existing and new SAS based applications by analysing and identifying areas for modification and improvement to meet customer requirements.
* Product/Service Development: Solve known problems and/or deliver defined outcomes by performing designated development/engineering activities using existing systems.
* Technical Developments Recommendation: Working with the Data & BI team to develop and maintain a comprehensive data warehouse using SAS/SQL language to ensure all data clearly defined and consistently maintained throughout the organisation.
* Data Governance: Develop and maintain data dictionaries covering factors and measures within data warehouses. Responsible for supporting all aspects of data such as Quality, Security, Management, Architecture, Availability and Performance.
* Troubleshooting and Debugging: Provide fault isolation and resolution to limit and address issues promptly.
* Project Management: Responsible for processing Data & BI requests for internal and external stakeholders in a timely manner whilst ensuring data accuracy and audits are not compromised. Liaising with internal stakeholders regularly to ensure assistance is given in understanding Data & BI for improving business performance or operations.
Qualifications
* Ability to analyse and interpret data with good investigative and analytical skills and make recommendations.
* Strong communication skills (both verbal and written) with non-technical internal colleagues.
* In-depth knowledge of Microsoft Office (particularly Excel).
* Proven organisational skills with the ability to work with tight deadlines.
* Able to demonstrate sound attention to detail, ensuring any output is accurate before being passed onto the wider business.
* Experience developing and maintaining strong working relationships.
* Demonstrate a ‘Can Do’ attitude with a desire to thrive in a dynamic and fast paced environment.
Preferred Skills
* Some knowledge of SQL / SAS is preferred but not essential.
* Sound experience and understanding of established procedures or systems.
* Evidence of problem solving, investigative and analytical skills.
* Evidence of learning technical skills.
* Insurance or other financial services experience would be beneficial.
* Experience on SAS VIYA, Jira, Fabric, GitHub is good to have.
* STEM degree is preferred but not essential.
Benefits
* Prepare for your retirement with our colleague pension scheme.
* Private Medical Insurance (WL2+) and virtual GP Service for you and your family 365 days a year.
* Performance related annual bonus.
* Generous holiday allowance with a minimum of 7.2 weeks, with the opportunity to buy more.
* Colleague Clubcard benefit: 10% discount rising to 15% each payday; you receive a second card to share.
* Family-oriented initiatives including enhanced maternity leave pay, shared parental leave policy, and 8-week paid paternity leave.
* Ongoing learning opportunities and award-winning training.
* Participation in Buy as you Earn and Save as your Earn share schemes.
Diversity & Inclusion
We want all our colleagues to always feel welcome and be themselves. We’re committed to building a more inclusive workplace and celebrating everything that makes colleagues unique.
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