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- Tasks: Join us as a Data Engineer to analyse and implement data solutions for impactful analytics.
- Company: Mirai is committed to diversity and inclusion, fostering a collaborative workplace culture.
- Benefits: Enjoy a competitive salary, up to 10% bonus, private health care, and flexible hybrid/remote work options.
- Why this job: Be part of exciting projects while enhancing automation and streamlining data processes across the business.
- Qualifications: Bachelor's degree in a quantitative field and strong SQL skills; experience in insurance is a plus.
- Other info: We value diverse perspectives and encourage applications from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
We are on the lookout for a Data Engineer who will play a key role in analysing, documenting, and implementing data solutions to enable analytics across the business. You’ll play an integral part in claims and supporting management information dashboards through the automation and streamlining of data processes.
What you’ll be doing:
- Build and maintain data warehouses on the Azure Cloud and create one source of truth data sets to drive consistency and ease of business reporting.
- Work with multiple business customers (Underwriting, Operations, Technical Accounts, Finance, Actuarial, Claims etc.) to collate, update and balance monthly/quarterly data by implementing repeatable automated processes.
- Liaise with business customers and IT to produce accurate Management Information and data flow automation, including data reconciliation with Finance, Technical Accounts, and Actuarial departments.
- Interact with IT, Underwriting, Operations, Technical Accounts, Finance, Actuarial and Claims to ensure data accurately and appropriately reflects the business and meets business requirements.
- Support UK/EU Statutory/Regulatory reporting by automating data retrieval and reporting forms, as necessary.
- Liaise with IT to provide adequate management information systems and processes with appropriate security controls.
- Provide support to the enterprise to enhance automation across the business.
- Complete duties as assigned.
To maintain compliance with any applicable UK or International statutory or regulatory obligation as required by the role.
What you can bring:
- Experience in working in the insurance industry, particularly in claims - beneficial.
- Strong SQL skills and knowledge of VBA, R, Python a plus.
- Expert knowledge of Excel, Word, and Access.
- Team Player with good communication and presentation skills.
- Strong planning and organization skills.
- Ability to work with a variety of disciplines outside of the department.
- Accuracy and attention to detail.
- Bachelor’s degree in computer science, math, actuarial science, or other quantitative majors.
- 2-5 years of work experience with Analytical users (e.g. Actuaries and Finance).
- Experience in industry preferred.
- Experience working in Cloud based data/analytics environments preferred.
- Experience with BI tools/systems including Power BI.
What’s in it for you?
- Competitive salary.
- Up to 10% bonus.
- Private health and medical care.
- Lots more!
Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and our partners' teams. This is just one of the ways that we’re taking positive action to shaping a collaborative and diverse future in the workplace.
Data Engineer (City of London) employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (City of London)
✨Tip Number 1
Familiarise yourself with the Azure Data Stack, as this is a key requirement for the role. Consider taking online courses or tutorials to enhance your understanding and showcase your commitment to mastering the tools used in the position.
✨Tip Number 2
Network with professionals in the insurance industry, particularly those working in claims. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Brush up on your SQL skills and consider building a portfolio of projects that demonstrate your ability to create data solutions. This practical experience can set you apart from other candidates during interviews.
✨Tip Number 4
Prepare to discuss how you've collaborated with various business departments in past roles. Highlight specific examples where your data solutions improved processes or reporting, as this aligns closely with the responsibilities outlined in the job description.
We think you need these skills to ace Data Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure Cloud and SQL. Emphasise any projects that involved automation and data processes, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you’re interested in this specific position and how your background aligns with the company's needs. Mention your experience in the insurance industry and your familiarity with BI tools like Power BI.
Showcase Technical Skills: Clearly list your technical skills, especially SQL, VBA, R, and Python. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Soft Skills: Don’t forget to mention your communication and teamwork abilities. The role requires collaboration with various departments, so showcasing your interpersonal skills will be beneficial.
How to prepare for a job interview at Mirai Talent
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, VBA, R, and Python during the interview. Be prepared to discuss specific projects where you utilised these skills, especially in relation to data warehousing and automation.
✨Understand the Business Context
Familiarise yourself with the insurance industry, particularly claims processes. Demonstrating an understanding of how data solutions impact various departments like Underwriting and Finance will show that you can bridge the gap between technical and business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've automated data processes or improved reporting accuracy in previous roles, as this aligns closely with the responsibilities of the position.
✨Emphasise Communication Skills
As a Data Engineer, you'll need to liaise with multiple stakeholders. Highlight your communication and presentation skills, and be ready to discuss how you've effectively collaborated with non-technical teams to achieve project goals.
