At a Glance
- Tasks: Develop and maintain data solutions while collaborating with stakeholders on innovative projects.
- Company: Join Nest Pensions, a forward-thinking company in the finance sector.
- Benefits: Enjoy a bonus scheme, enhanced pension contributions, and income protection.
- Other info: Flexible hybrid working options and generous training budget available.
- Why this job: Make an impact by transforming raw data into valuable insights for business intelligence.
- Qualifications: Experience in data engineering and familiarity with Azure and data pipelines.
The predicted salary is between 50000 - 70000 £ per year.
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.
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.
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 in London employer: Nest Pensions
Nest Pensions is an exceptional employer that prioritises employee growth and well-being, offering a generous training budget to help you develop your skills as a Data Engineer. With a flexible hybrid working model based in the vibrant Canary Wharf, London, you will enjoy a supportive work culture that values collaboration and innovation, alongside competitive benefits such as enhanced pension contributions and an income protection scheme.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Get to know the company culture! Before your interview, do a bit of research on Nest Pensions. Check out their website and social media to understand their values and work environment. 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. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your responses.
✨Tip Number 3
Showcase your skills! Bring examples of your previous work, especially projects involving data pipelines and cloud solutions. If you can, demonstrate how you've tackled challenges in past roles. This will give the interviewers a clear picture of what you can bring to the table.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a quick thank-you email to express your appreciation for the opportunity. It’s a nice touch and keeps you fresh in their minds. Plus, it shows that you’re proactive and keen on the role!
We think you need these skills to ace Data Engineer in London
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! Explain why you're excited about the role and how your background aligns with our needs. Don’t forget to mention your collaboration skills, as working with stakeholders is crucial for us.
Showcase Your Technical Skills:In your application, be sure to highlight your knowledge of ETL/ELT processes, data modelling, and data governance. We want to see how you can combine data from different sources and build effective data pipelines.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Nest Pensions
✨Know Your Data Stuff
Make sure you brush up on your data engineering skills, especially around Azure and building data pipelines. Be ready to discuss your experience with ETL/ELT processes and how you've tackled data modelling in past projects.
✨Understand the Stakeholder Perspective
Since this role involves working closely with stakeholders, think about how you can demonstrate your collaboration skills. Prepare examples of how you've successfully aligned data solutions with stakeholder requirements in previous roles.
✨Show Off Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in data engineering and how you overcame them. This could include anything from integrating different data sources to optimising data workflows. Real-life examples will make your answers stand out!
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the team, the data products you'll be working on, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
