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- Tasks: Build high-performance data solutions using cutting-edge tools like Databricks and Azure SQL.
- Company: Join Markerstudy Insurance Services, a leading player in the UK motor insurance market.
- Benefits: Enjoy private healthcare, 24 days annual leave, and discounts on shopping and travel.
- Why this job: Make an impact in a fast-paced environment while developing your skills in modern data technologies.
- Qualifications: Experience in SQL programming, data modelling, and familiarity with Azure data environments.
- Other info: Collaborative culture with opportunities for career growth and professional development.
The predicted salary is between 36000 - 60000 £ per year.
This role is largely remote with occasional site visits when required. We are seeking an experienced Data Engineer who is skilled in all toolsets in data platforms including Azure SQL, data lake, Databricks, and data factory, and specialised in building high performance, highly scalable, and cost-effective data solutions within time and budget. You will be responsible for building data products to specification and need good knowledge in multiple business data (Strata, Kingfisher, CDL classic, OGI, Marketing, Wholesale, TM1, MISL etc.) as well as data exchange to internal and external systems.
Key Accountabilities & Responsibilities:
- Develop, maintain, and document high-quality data products using Databricks, ensuring code is performant and written to a high standard.
- Collaborate closely with business analysts and stakeholders to translate business requirements into technical solutions.
- Monitor, troubleshoot, and resolve data issues to ensure reliability and performance.
- Support team delivery to ensure projects are completed on time.
- Work with modern development lifecycle tools and practices, including test automation and Continuous Delivery.
- Communicate complex technical concepts clearly to non-technical audiences.
- Act as a positive, approachable technical lead and support other team members.
- Maintain robust data dictionaries and dimensional data models.
- Apply strong analytical thinking and stay up to date with existing and emerging technologies.
- Demonstrate expertise in SQL, data warehousing, dimensional modelling, Databricks, Data Lakes, and knowledge of CDL Kingfisher, Classic data, OGI, and main PAS data sources.
Skills, Experience & Knowledge:
- Development experience in SQL programming and systems integration.
- Strong knowledge of SQL, data modelling, data warehousing concepts, and Kimball methodology.
- Experience within Insurance or Broking (preferred).
- Proven experience building and maintaining Databricks notebooks.
- Solid understanding of the Azure data environment.
- Experience with Python for scripting and data processing.
- Strong project management skills, including managing multiple requests and senior stakeholders.
- Ability to understand and translate business needs into clear technical and functional requirements.
- High level of commercial and operational awareness of data.
- Comfortable working in a demanding, fast-paced environment.
- Up-to-date knowledge and hands-on experience with modern data technologies and delivery methods.
Why us?
Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible, and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused.com, Go Compare, and Compare the Market, via our broker partners.
What we offer in return?
- A collaborative and fast-paced work environment.
- Private medical health care plan.
- 24 days annual leave plus Bank Holidays and the ability to buy additional leave (annual leave also increases with service).
- A benefit scheme that offers discounts and cashback on shopping, restaurants, travel, and more.
- Life Assurance 4x annual salary.
Data Engineer in Peterborough employer: Gerrard White
Contact Detail:
Gerrard White Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Peterborough
✨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 in data engineering. Building relationships can lead to job opportunities that aren't even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those using Databricks, Azure SQL, and other relevant tools. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and data modelling skills. Be ready to discuss your past projects and how you tackled challenges. Remember, it's not just about what you know, but how you communicate it!
✨Apply Through Our Website
Don't forget to check out our job listings on the StudySmarter website! Applying directly through us can give you an edge, as we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Engineer in Peterborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with Azure SQL, Databricks, and any relevant data platforms. We want to see how your skills match our needs!
Showcase Your Projects: Include specific examples of data products you've built or maintained. We love seeing real-world applications of your skills, especially if they relate to the insurance or broking sectors.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain complex technical concepts. Remember, we want to understand your expertise without getting lost in jargon.
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at Gerrard White
✨Know Your Tools Inside Out
Make sure you’re well-versed in Azure SQL, Databricks, and data lakes. Brush up on your SQL programming skills and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show that you’re not just familiar with the tech, but you can also apply it effectively.
✨Understand the Business Context
Familiarise yourself with the business data mentioned in the job description, like Strata and Kingfisher. This will help you translate technical concepts into business value during the interview. Showing that you understand how your role impacts the wider business will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face questions about data modelling, data warehousing concepts, and the Kimball methodology. Practice explaining these concepts clearly, as you may need to communicate complex ideas to non-technical stakeholders. Being articulate about your technical knowledge is key!
✨Showcase Your Project Management Skills
Be ready to discuss how you manage multiple requests and work with senior stakeholders. Share examples of how you’ve delivered projects on time and handled challenges. Highlighting your organisational skills and ability to thrive in a fast-paced environment will demonstrate that you’re a great fit for the team.
