At a Glance
- Tasks: Join a dynamic team to create scalable data solutions for the insurance sector.
- Company: Be part of a forward-thinking insurance group in a vibrant city.
- Benefits: Enjoy competitive pay, remote work options, and a collaborative culture.
- Other info: This role offers a chance to work with cutting-edge Microsoft technologies.
- Why this job: Make an impact with data while working in a fast-paced, innovative environment.
- Qualifications: Experience in SQL, ETL, and insurance reporting is essential.
The predicted salary is between 48000 - 84000 £ per year.
This range is provided by ARC IT Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from ARC IT Recruitment
Delivery Consultant at ARC IT Recruitment
Senior Data Engineer is required to join a forward-thinking data team within a thriving city-based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you’ll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data.
The ideal candidate here will have a strong background in MI or reporting—experience within insurance is essential.
Key Responsibilities
- Deliver data solutions and changes that support evolving business requirements.
- Build and maintain robust, scalable data pipelines using SQL and ETL best practices.
- Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges.
- Proactively assess the impact of changes on the broader data model and ensure integrity is maintained.
- Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools.
- Consult with business analysts, system owners and architects to align technical delivery with strategic objectives.
- Build deep knowledge of internal systems and promote collaboration across teams.
Key Skills & Experience:
- Significant experience with SQL and ETL development.
- Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake.
- Strong background in MI or reporting—experience within an MGA or insurance carrier is essential.
- A sharp analytical mind with the ability to work quickly, efficiently and methodically.
- Strong communication skills with excellent stakeholder management and influencing skills.
- Solid understanding of Insurance Operations, Credit Control, and Finance functions.
- A team player who thrives in an agile, fast-moving, and highly collaborative environment.
For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Consulting
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Senior Data Engineer, Insurance in City of London employer: ARC IT Recruitment
As a leading Tier 1 main contractor based in Cambridge, we pride ourselves on fostering a dynamic work culture that prioritises employee growth and development. Our commitment to delivering high-value commercial construction projects not only ensures job satisfaction but also offers competitive salaries and comprehensive packages, making us an excellent employer for those seeking meaningful and rewarding careers in the construction industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer, Insurance in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ARC IT Recruitment!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ARC IT Recruitment.
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We think you need these skills to ace Senior Data Engineer, Insurance in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ARC IT Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ARC IT Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ARC IT Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ARC IT Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.