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For Companies At a Glance
- Tasks: Develop and maintain data products while building cloud-based data solutions on Azure.
- Company: Join Nest, a leading organisation in the pension sector with a commitment to innovation.
- Benefits: Enjoy flexible working, competitive bonuses, and a generous pension scheme.
- Why this job: Be part of a transformative journey using data to drive impactful decisions for millions.
- Qualifications: Experience in data engineering and a passion for analytics are key.
- Other info: Dynamic work environment with opportunities for personal growth and development.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Data Engineer role at Nest Pensions. 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.
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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
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those face-to-face interviews! Research common data engineering questions and practice your answers. Show us your passion for data and how you can contribute to our cloud-based solutions.
✨Tip Number 3
Don’t shy away from showcasing your projects! Bring examples of your work, especially if they involve data pipelines or analytics. We love seeing how you’ve tackled real-world problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re all about spotting potential, so don’t hesitate even if you think you’re missing some skills.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with data products, cloud platforms like Azure, and any relevant projects that showcase your skills in building data pipelines.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve developed or maintained data solutions. This will help us see how you can contribute to our team.
Be Authentic: We love seeing your personality shine through in your application. Don’t be afraid to share your passion for data and how it drives your work. Authenticity goes a long way in helping us get to know you better!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role!
How to prepare for a job interview at Nest pensions
✨Know Your Data Tools
Familiarise yourself with the data tools and technologies mentioned in the job description, especially Azure and AWS. Be ready to discuss your experience with these platforms and how you've used them to build data pipelines or integrate workflows.
✨Understand Stakeholder Needs
Prepare to talk about how you’ve collaborated with stakeholders in the past. Think of specific examples where you gathered requirements and delivered data solutions that met their needs. This shows you can bridge the gap between technical work and business objectives.
✨Showcase Your Problem-Solving Skills
Be ready to discuss challenges you've faced in previous roles, particularly around data integration and transformation. Highlight your approach to problem-solving and how you turned raw data into actionable insights, as this is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the data strategy at Nest, or how they measure success in data engineering. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
