At a Glance
- Tasks: Build and develop the Investment Data Platform while collaborating with a dynamic team.
- Company: Join USS, a leading pension scheme provider with a focus on innovation and inclusivity.
- Benefits: Enjoy a competitive salary, generous leave, health perks, and personal development support.
- Other info: Thrive in a flexible culture that values diversity and supports your career growth.
- Why this job: Make a real impact in data engineering and shape the future of investment management.
- Qualifications: Experience in data engineering and cloud technologies is essential; enthusiasm is key!
The predicted salary is between 60000 - 80000 £ per year.
Business Area: Operations
Place of Work: London
Contract Type: Fixed Term Contract
About the role
In your role as Senior Data Engineer you will make a meaningful and valued contribution from the outset. This role will provide a great opportunity to assist in the development and build of the Investment Data Platform (IDP). This senior position is essential to advancing USSIM's data strategy project and wider agenda, aligning with the organisation's strategic objectives and shaping the technology, people and processes required to embed a data driven culture.
- Developing a Fabric Data Lakehouse for the Investment Management business, implementing scalable and secure ETL/ELT frameworks to ingest, transform and deliver data, across a medallion architecture.
- Knowledge share across a small team of data engineers, fostering strong data engineering practices aligned to industry standards.
- Working in partnership with architects, support the design and implementation of best practices in development and data disciplines.
- Partnering with business stakeholders, technology, data and analytics teams, to translate business needs into scalable solutions.
- Working with the Data Oversight and Information Security teams to ensure compliance with data security and privacy requirements, implementing secure-by-design engineering practices.
- Advocating and educating colleagues and stakeholders on data engineering capabilities, gaining stakeholder buy-in to the value and potential of the data platform's capabilities.
- Providing technical support and troubleshooting production issues.
- Analysing business requirements and document technical solutions and processes.
We know that sometimes people can be put off applying for a job if they don't tick every box, if you're excited about working for us and have most of the skills or experience we're looking for, then please apply, regardless of whether you meet all the requirements outlined in this profile.
To be successful in the role you will have:
- Significant practical data engineering experience delivering scalable data platform solutions on cloud technologies e.g. Microsoft Fabric, Databricks, Azure, Snowflake.
- Strong technical proficiency in data engineering and cloud technologies e.g. Python, Spark, SQL/NOSQL, PowerShell, Azure Data Factory, Azure DevOps.
- Professional experience in modern data warehousing, data lakes and lakehouse architectures.
- Agile practitioner with experience working with scrum teams, sprints, backlogs.
- Experience working in Investment Management, with a good understanding of the data which underpins Investment Management activities.
- Understanding and first-hand experience working with data masters, market data sources, data quality/cataloguing/lineage tools.
- Microsoft certified in Fabric Analytics Engineer such as DP-600 or DP-700.
- Excellent communication and interpersonal skills, operating at different levels across the organisation.
- Self-starter, enthusiastic, and hands-on individual who wants to make a difference in a team working environment.
Desirable
- Understanding of both business and data architecture practices, with experience working with data models and toolsets such as Bizzdesign and ER/Studio.
- Understanding of data governance, data quality and data security practices, and experience in adopting and embedding these capabilities within platform deliveries.
- Qualification in Computer Science, Data Engineering, Data Science.
At USS, every individual contributes to building a secure financial future for our members and their families. We strive to create a work environment where everyone can thrive professionally while making a meaningful impact on the lives of others. We're also committed to helping you build your career by providing opportunities for development. We put a focus on recognising and supporting each individual's unique career path, driving this forward with the support of an engaged and proactive management team.
Here at USS, we want you to thrive in and out of work with a friendly team, flexible culture and excellent range of benefits!
How we will reward you
- Great starting salary
- Generous annual leave package
- Access to a high quality pension scheme provided through Universities Superannuation Scheme
- Supportive people policies (including enhanced occupational sickness pay and family friendly pay)
- Financial contributions towards your personal development to help you maintain your physical and mental wellbeing
- Access to a range of health and wellbeing services i.e., private healthcare, discounted gym membership
- Learning and development opportunities to develop your skills, knowledge and talent
- Employee Volunteer Day's to support the communities where you work and live
- Cycle to Work Scheme
Our culture and values
Our people are what makes us different. We work together to create a diverse and inclusive culture that embraces individuality, where people are welcomed and feel comfortable in the knowledge that they can be themselves. Our purpose firmly states the importance of members, putting them 'front and centre' of what we do. This is embedded through our values:
- Integrity
- Collaboration
- Excellence
Universities Superannuation Scheme (USS) was established in 1974 as the principal pension scheme for universities and other higher education institutions in the UK. We work with around 330 employers to help build a secure financial future for almost 577,000 members and their families. We are one of the largest private defined benefit pension schemes in the UK, with total assets of around £76.8bn (at 31 March 2025).
USSIM is proud to be an equal opportunity employer. We strive to ensure our recruitment process is as flexible and inclusive as possible so we can attract diverse candidates and recruit the best talent. We want all candidates to perform at their best during the recruitment process, so if you need any reasonable adjustments or if there is anything we can do to help support you through your recruitment journey please let us know by contacting resourcing@uss.co.uk.
Senior Data Engineer employer: USS Investment Management Limited
At USS, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work environment in the heart of London. Our commitment to employee growth is reflected in our generous benefits package, including a high-quality pension scheme, extensive learning opportunities, and a focus on wellbeing. Join us to make a meaningful impact while thriving in a culture that values integrity, collaboration, and excellence.
Contact Details:
USS Investment Management Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work at USS or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with cloud technologies and data platforms. Practice explaining complex concepts in simple terms – it shows you can communicate effectively!
✨Tip Number 3
Show your passion for data! During interviews, share examples of how you've used data to drive decisions or improve processes. This will demonstrate your commitment to a data-driven culture, which is key for the role.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, if you’re excited about the role and have relevant experience, we want to hear from you. Your unique perspective could be just what we need!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with cloud technologies and data engineering practices, as these are key to what we're looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this position and how you can contribute to our Investment Data Platform. Share specific examples of your past work that relate to the job description.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies in Python, SQL, and any relevant cloud technologies. We want to see how your skills can help us advance our data strategy project!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at USS Investment Management Limited
✨Know Your Tech Inside Out
As a Senior Data Engineer, you'll need to showcase your expertise in cloud technologies like Microsoft Fabric and Databricks. Brush up on your knowledge of Python, SQL, and ETL frameworks. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Team Spirit
This role involves collaboration with architects and business stakeholders. Prepare examples of how you've worked in teams, shared knowledge, and fostered strong data engineering practices. Highlight your experience in agile environments and how you’ve contributed to scrum teams.
✨Understand the Business Context
Familiarise yourself with the investment management sector and the data that drives it. Be prepared to discuss how your technical skills can translate into business solutions. This will show that you not only understand data but also its impact on business objectives.
✨Communicate Clearly and Confidently
Excellent communication is key for this role. Practice explaining complex data concepts in simple terms. Think about how you can advocate for data engineering capabilities and gain stakeholder buy-in during your interview. Confidence in your communication will set you apart.