At a Glance
- Tasks: Support and enhance Exposure Management technology with hands-on SQL development and automation.
- Company: Join a leading Lloyd's managing agent with a strong reputation.
- Benefits: Competitive daily rate, contract flexibility, and opportunities for skill development.
- Other info: Collaborate with diverse teams and drive automation initiatives for operational excellence.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge data technologies.
- Qualifications: Advanced T-SQL skills and experience in ETL/data integration are essential.
Our client, a well-established Lloyd's managing agent, is seeking a Data Engineer to provide technical ownership and support for their Exposure Management technology estate, including in-house and third-party catastrophe modelling platforms. This is a hands-on role encompassing SQL development, production support, and automation across business-critical month-end and daily operational processes. The successful candidate will work closely with Exposure Management, Product, Engineering, and DBA teams as part of the organisation's transition to a product-centric technology operating model.
Responsibilities
- Technical support for exposure management and catastrophe modelling applications
- Investigation and resolution of failed runs, data quality issues, and production incidents
- Development and maintenance of SQL processes, stored procedures, and data integrations
- Ownership of month-end reporting and aggregation timetables
- Driving automation initiatives to reduce manual intervention and operational risk
Requirements
- Advanced T-SQL — stored procedures, query optimisation, performance tuning, SQL Agent jobs
- ETL/data integration experience (SSIS or equivalent), file-based processing, SFTP transfers
- Reporting stack — SSRS or Power BI
- Python or PowerShell advantageous
- Exposure management, catastrophe modelling, or underwriting domain knowledge
Data Engineer employer: ea Change
ea Change is an exceptional employer that values innovation and collaboration, providing a dynamic work environment for its ERP Transformation Project Manager. With flexible working arrangements and a commitment to employee growth, team members are encouraged to develop their skills while contributing to impactful transformation projects. Located in a vibrant area, the company fosters a culture of support and inclusivity, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Engineer at ea Change, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at ea Change.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at ea Change
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
