At a Glance
- Tasks: Develop and build the Investment Data Platform while collaborating with a diverse team of experts.
- Company: Join USS, a leading pension scheme with a focus on innovation and collaboration.
- Benefits: Enjoy a competitive salary, generous leave, and support for your personal development.
- Other info: Flexible and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in data engineering and shape a data-driven culture.
- Qualifications: Experience in data engineering and cloud technologies is essential.
The predicted salary is between 60000 - 75000 £ per year.
When you join USS, the size and scale of our pension scheme means you will have numerous opportunities to learn and develop your career. Given our size you'll have real autonomy and influence as you collaborate closely with a wide-ranging team of experts.
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.
What you will be doing:
- Development of 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.
- Work in partnership with architects, support the design and implementation of best practices in development and data disciplines.
- Partner with business stakeholders, technology, data and analytics teams, to translate business needs into scalable solutions.
- Work with the Data Oversight and Information Security teams to ensure compliance with data security and privacy requirements, implementing secure-by-design engineering practices.
- Advocate and educate colleagues and stakeholders on data engineering capabilities, gaining stakeholder buy-in to the value and potential of the data platform’s capabilities.
- Provide technical support and troubleshooting production issues.
- Analyse business requirements and document technical solutions and processes.
About you:
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:
Must 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, dynamic yet practical and hands-on individual who wants to make a difference in a team working environment.
Nice to have:
- 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.
Why join us?
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 Days to support the communities where you work and live
- Cycle to Work Scheme
Our culture:
- Social Mobility Pledge
- Menopause Workplace Pledge
- Actively support Women in Tech
- Annual Intern programme supporting individuals to gain work experience.
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
At USS, we pride ourselves on being an exceptional employer, offering a dynamic work environment where your contributions as a Senior Data Engineer will be valued from day one. With a strong focus on employee development, generous benefits including a high-quality pension scheme, and a commitment to inclusivity and social mobility, you will thrive in a culture that encourages collaboration and innovation while making a meaningful impact in the investment management sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at USS on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give you a leg up!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your data engineering skills, especially with cloud technologies like Microsoft Fabric and Databricks. Practise coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 3
Show your passion for data! During interviews, share your enthusiasm for data engineering and how it can drive business success. Talk about how you've used data to solve real-world problems in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the USS team!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see that you're genuinely excited about the opportunity to work with us and contribute to our data strategy.
Tailor Your CV:Make sure to customise your CV to highlight the skills and experiences that align with the Senior Data Engineer role. We love seeing how your background fits into our vision, so don’t hold back on showcasing relevant projects!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills are easy to spot. This helps us quickly understand what you bring to the table!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at USS
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in cloud technologies like Microsoft Fabric and Databricks. Be ready to discuss your experience with ETL/ELT frameworks and how you've implemented scalable solutions in the past.
✨Showcase Your Collaboration Skills
Since this role involves working closely with architects and business stakeholders, prepare examples of how you've successfully collaborated in previous projects. Highlight your ability to translate complex data needs into actionable solutions.
✨Demonstrate Your Data Governance Knowledge
Familiarise yourself with data governance and security practices. Be prepared to discuss how you've ensured compliance in past roles and how you advocate for secure-by-design engineering practices within a team.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview that show your interest in the company's data strategy and culture. This could include inquiries about their current data challenges or how they envision the future of their Investment Data Platform.
