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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.
- Other info: Hybrid working model with opportunities for personal growth and development.
- Why this job: Make an impact by transforming raw data into valuable insights for businesses.
- Qualifications: Experience in data engineering and familiarity with Azure data services required.
The predicted salary is between 50000 - 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! Run through common interview questions related to data engineering, especially around Azure and data pipelines. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Show off your skills! Bring examples of your previous work or projects that demonstrate your experience with ETL/ELT processes and data modelling. This will give you a chance to showcase your expertise and how it aligns with what Nest Pensions is looking for.
✨Tip Number 4
Don’t be shy about asking questions! At the end of your interview, ask about the team dynamics, the tech stack they use, or how they support professional development. This 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 services and building data pipelines, as these are key for us. Use specific examples that showcase your skills in developing and maintaining data products.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your collaboration skills, as working with stakeholders is crucial for this role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those involving ETL/ELT processes or data modelling. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
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.