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- Tasks: Lead the design and development of innovative data solutions and manage high-performing teams.
- Company: Join Experian, a global leader in data and technology, making a real impact.
- Benefits: Enjoy hybrid working, competitive salary, generous leave, and comprehensive health benefits.
- Why this job: Shape the future of data engineering while driving innovation and collaboration.
- Qualifications: Proven experience in data architecture and leading distributed teams.
- Other info: Be part of a diverse team that values equality and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Senior Data Engineering Manager with expertise in modern data architectures, complex transformations, and large-scale re-platforming. Reporting to the Director of Platform, AI & Data, you will combine technical leadership with the ability to design and deliver scalable, high-performance data solutions using contemporary cloud and data stack technologies. You will be hands-on, participate in technical design and architecture reviews, and lead distributed teams across the UK and India. This is a hybrid role working in the office 2 days a week.
Responsibilities
- Personally contribute to the design and development of critical data pipelines and platform components where complexity or strategic importance demands direct technical input.
- Balance centralised governance with distributed ownership (Data Mesh principles).
- Define and track success metrics such as platform adoption, data quality, and stakeholder sentiment.
- Champion AI-driven productivity practices to enhance engineering and data efficiency and automation and lead implementation of ML Ops practices to support scalable machine learning operations.
- Build and lead top performing, inclusive engineering teams across UK and India. Support career development and mentoring within the team.
- Directly manage individual contributors and foster engineering and data excellence.
- Champion a culture of treating Data as a Product, embedding standards and accountability across domains.
- Embed best-in-class data tooling and practices (Snowflake, Snowplow, Orchestra) and optimise data pipelines for reliability and performance.
- Collaborate with internal platform teams to build internal developer platforms tailored for product engineering teams.
- Implement opportunities for data asset reuse and capability sharing across the organisation.
- Partner with vendors and internal stakeholders to evolve the data ecosystem.
- Work with Product, Analytics, Marketing, and Servicing teams to ensure data capabilities meet our needs.
- Build excellent relationships across ECS and Experian to promote data sharing and collaboration.
- Be a trusted advisor on data strategy and platform evolution.
Requirements
- Recent hands-on experience with AWS data services (Glue, Redshift, SageMaker) or modern data stack tools (Snowplow, Snowflake, Orchestra, dbt, Fivetran or equivalents).
- Expertise leading large-scale data platform transformations.
- Experience scaling and managing distributed teams across geographies.
- Recent hands-on experience building and optimising data pipelines and platforms, not limited to oversight or governance.
About Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. Experian is a FTSE 100 Index company listed on the London Stock Exchange (EXPN). Learn more at experianplc.com.
Benefits
- Hybrid working - 40% office based
- Great compensation and discretionary bonus
- Core benefits include pension, Bupa healthcare, Sharesave scheme and more
- 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.
Equality, Diversity and Inclusion
Experian is an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Senior Data Engineering Manager in Nottingham employer: Experian Information Solutions, Inc.
Contact Detail:
Experian Information Solutions, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Manager in Nottingham
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Experian. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your hands-on experience with data pipelines and cloud technologies. Let them know how you've tackled complex transformations in the past.
✨Be Ready for Technical Challenges
Prepare for technical interviews by brushing up on your knowledge of modern data architectures and tools like AWS, Snowflake, and ML Ops practices. We want to see how you think on your feet!
✨Apply Through Our Website
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 our team at Experian.
We think you need these skills to ace Senior Data Engineering Manager in Nottingham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with modern data architectures and large-scale transformations. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Leadership Skills: As a Senior Data Engineering Manager, we’re looking for someone who can lead distributed teams effectively. Share examples of how you've managed teams across different locations and fostered a culture of collaboration and excellence.
Highlight Technical Expertise: Don’t forget to mention your hands-on experience with AWS data services and modern data stack tools. We love seeing candidates who are not just leaders but also technically savvy, so include specific projects where you’ve implemented these technologies.
Apply Through Our Website: We encourage you 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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Experian Information Solutions, Inc.
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack tools mentioned in the job description, like Snowflake, Snowplow, and AWS services. Brush up on your hands-on experience with these technologies, as you might be asked to discuss specific projects where you’ve implemented them.
✨Showcase Leadership Skills
Prepare examples that highlight your experience in leading distributed teams and managing individual contributors. Be ready to discuss how you foster a culture of excellence and inclusivity within your teams, especially across different geographies.
✨Understand Data as a Product
Familiarise yourself with the concept of treating data as a product. Think about how you can embed standards and accountability in your previous roles and be prepared to share your insights on this approach during the interview.
✨Metrics Matter
Be prepared to talk about success metrics you've defined and tracked in past projects, such as platform adoption and data quality. This will show your understanding of the importance of measuring impact and stakeholder sentiment in data engineering.
