Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain data products while building cloud-based solutions on Azure.
- Company: Join Nest Pensions, a forward-thinking company focused on innovation.
- Benefits: Enjoy a bonus scheme, enhanced pension contributions, and flexible working options.
- Why this job: Make an impact by transforming raw data into valuable insights for businesses.
- Qualifications: Experience in data engineering and familiarity with Azure services required.
- Other info: Hybrid working model with opportunities for personal growth and training.
The predicted salary is between 36000 - 60000 £ per year.
Overview
You’ll work with stakeholders to develop, test, and maintain data products and solutions that align with their requirements. You’ll develop a cloud-based data and analytics platform on Azure and help end-users integrate their workflows between this and other platforms, including AWS-based solutions. You’ll combine data from different sources and build data pipelines to transform and organise raw data into formats that can be easily used for business intelligence as well as deep dive analysis and modelling.
Role details
Interviews will be face to face in the London office. We are open to discussing working patterns. We welcome all internal applicants to apply for our roles, regardless of current working pattern or hours, and we will aim to accommodate your current arrangements. If you think you don’t have all key skills, it may be worth applying as we’re good at spotting potential and offer a generous training budget. Please download a full job description to see the full scope, deliverables, experience and personal attributes required for this role.
Responsibilities
- Develop, test, and maintain data products and solutions that align with stakeholder requirements.
- Develop a cloud-based data and analytics platform on Azure.
- Help end-users integrate workflows between the Azure platform and other platforms, including AWS-based solutions.
- Combine data from different sources and build data pipelines to transform and organise raw data for business intelligence and modelling.
Qualifications
- Experience as a Data Engineer or similar role.
- Experience with Azure data services and building data pipelines.
- Knowledge of ETL/ELT, data modelling, and data governance.
- Strong collaboration with stakeholders.
Benefits
- A discretionary bonus scheme.
- Reward and recognition scheme.
- Enhanced auto enrolled pension – your contributions start at the default 5% while ours are higher at 8%. If you increase your contributions to 6% we raise ours to 9%. If you contribute 7% or more we’ll contribute 10%.
- Income protection scheme – provides income if you cannot work due to illness or incapacity.
- Working pattern: Hybrid of office (Canary Wharf, London) and home working (attendance at the office may be required once or more per week as needed). Flexible options including reduced hours, reduced days, compressed hours, or job share.
Data Engineer employer: Nest pensions
Contact Detail:
Nest pensions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Get to know the company! Before your interview, do a bit of research on Nest Pensions. Understand their mission, values, and recent projects. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Prepare for common interview questions related to data engineering, Azure, and stakeholder collaboration. You can even do mock interviews with friends or use online platforms to get comfortable with your responses.
✨Tip Number 3
Show off your skills! Bring examples of your previous work, like data pipelines you've built or projects where you integrated different platforms. This will give the interviewers a clear picture of what you can bring to the table.
✨Tip Number 4
Don’t be shy about asking questions! At the end of the interview, ask about the team dynamics, the tech stack they use, or how they support professional development. It shows you're engaged and helps you figure out if it's the right fit for you.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, data pipelines, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with ETL/ELT processes, data modelling, and any tools you’ve used. We love seeing candidates who are technically savvy and ready to dive into our projects!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Nest pensions
✨Know Your Data Tools
Make sure you brush up on your knowledge of Azure data services and any relevant tools. Be ready to discuss how you've used these in past projects, especially when it comes to building data pipelines and handling ETL/ELT processes.
✨Showcase Your Collaboration Skills
Since the role involves working closely with stakeholders, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve successfully gathered requirements or integrated workflows between different platforms.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review key concepts related to data modelling, data governance, and the specifics of combining data from various sources. Practising your answers can help you feel more confident.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the data products you'll be working on, and how success is measured in this role. This shows your genuine interest and helps you assess if it's the right fit for you.
