At a Glance
- Tasks: Design and optimise data solutions for finance reporting and transformation initiatives.
- Company: A growing insurer with a collaborative culture and strong career progression.
- Benefits: Competitive salary, hybrid work model, and excellent career development opportunities.
- Other info: Work closely with finance teams and contribute to impactful projects.
- Why this job: Join a dynamic team and shape the future of finance reporting in a transformative role.
- Qualifications: Proven experience in data engineering, strong SQL skills, and knowledge of Azure technologies.
The predicted salary is between 60000 - 90000 £ per year.
A growing insurer is looking for a Senior Data Engineer to join its expanding data function and play a key role in a major finance transformation programme. This is an opportunity to work closely with an experienced Head of Data and help shape the future of finance reporting and data capabilities within a highly collaborative organisation. The business offers the agility and visibility of a smaller insurer, with strong opportunities for progression and career development.
The Role
As a Senior Data Engineer, you will be responsible for designing, developing, and optimising data solutions that support finance reporting and transformation initiatives. You'll work closely with finance, reporting, and data teams to deliver high-quality, scalable data platforms and reporting capabilities. A key focus of the role will be supporting finance data requirements, including IFRS 17 reporting, while contributing to broader data engineering and transformation projects.
Key Responsibilities
- Design, build, and maintain robust data pipelines and data solutions.
- Support finance reporting and transformation initiatives across the business.
- Work closely with finance stakeholders to understand reporting and data requirements.
- Develop and optimise SQL-based data models and reporting datasets.
- Contribute to the ongoing development of cloud-based data platforms within Azure.
- Ensure data quality, governance, and best practice across the data estate.
- Collaborate with data engineers, developers, analysts, and business stakeholders.
Required Experience
- Proven experience as a Data Engineer, Senior Data Engineer, or similar role.
- Strong SQL development skills.
- Experience with Azure data technologies.
- Python experience would be highly advantageous.
- Previous experience working within the insurance sector.
- Strong understanding of supporting finance teams and finance-related data processes.
- Experience with IFRS 17 reporting is highly desirable.
- Exposure to finance transformation, finance reporting, or regulatory reporting projects.
Senior Data Engineer employer: JSS
Join a dynamic and growing insurer in London, where as a Senior Data Engineer, you will be at the forefront of finance transformation initiatives within a collaborative and agile environment. The company prioritises employee growth, offering strong career development opportunities and a supportive culture that values innovation and teamwork. With a hybrid working model and a focus on work-life balance, this role provides a unique chance to make a meaningful impact while enjoying the benefits of a smaller organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data engineering sectors. Attend industry meetups or webinars to meet potential employers and get your name out there. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those related to finance transformation. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Azure knowledge. Be ready to discuss how you've tackled data challenges in the past, particularly in finance contexts. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Azure, and any finance-related projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in data engineering can contribute to our finance transformation programme. Keep it engaging and relevant!
Showcase Relevant Projects:If you've worked on projects involving IFRS 17 reporting or finance transformation, make sure to mention them. We love seeing real-world examples of your work that demonstrate your expertise and problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at JSS
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss your experience with data pipelines. Be prepared to explain how you've designed and optimised data solutions in the past, especially in relation to finance reporting.
✨Understand IFRS 17 Reporting
Since this role involves supporting finance data requirements, it’s crucial to have a solid grasp of IFRS 17 reporting. Familiarise yourself with its principles and be ready to discuss how you've worked with similar financial regulations in your previous roles.
✨Showcase Your Collaboration Skills
This position requires working closely with finance stakeholders and other teams. Prepare examples of how you've successfully collaborated with different departments to deliver data solutions. Highlight any experiences where you’ve bridged the gap between technical and non-technical teams.
✨Get Comfortable with Azure
As the role involves cloud-based data platforms within Azure, make sure you’re up to speed with Azure data technologies. Be ready to discuss any projects where you've used Azure, and if possible, bring along examples of how you’ve contributed to cloud-based solutions.
