At a Glance
- Tasks: Design and deliver innovative data solutions for insurance platforms using Azure technologies.
- Company: Join Fractal, a strategic AI partner to Fortune 500 companies with a vibrant culture.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values creativity and collaboration.
- Why this job: Empower imagination with intelligence and drive impactful change in the insurance industry.
- Qualifications: Strong experience in the insurance domain and proficiency in Azure ecosystem tools.
The predicted salary is between 70000 - 90000 £ per year.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Responsibilities
- Design and deliver scalable, secure, and business-aligned solution architectures for insurance platforms and applications.
- Collaborate with business, analytics, and technology stakeholders to translate strategic objectives into end-to-end solution designs.
- Provide architecture leadership across applications, integrations, data platforms, cloud technologies, and digital transformation initiatives.
- Leverage data analytics, quantitative analysis, and business insights to identify opportunities for innovation, operational efficiency, and profitable growth.
- Drive strategy development by aligning technology solutions with business goals, market demands, and customer needs.
- Support digital commerce, underwriting, claims, and policy administration processes through modern technology solutions.
- Create compelling architecture roadmaps and data-driven presentations using strong data storytelling techniques.
- Partner with cross-functional teams to improve sales, marketing, and supply chain-related processes where applicable within the insurance value chain.
- Manage stakeholder expectations and provide architectural governance throughout the project lifecycle.
Requirements
- Strong insurance domain experience, preferably within the Lloyd’s marketplace.
- Good understanding of tools and platforms used across the Lloyd’s insurance ecosystem.
- Proficiency in Azure ecosystem: Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor.
- Demonstrated expertise in analytics consulting, data analysis, and data analytics.
- Strong business acumen with the ability to connect technology decisions to business outcomes.
- Experience identifying business opportunities and driving innovation through technology and data.
- Proven ability to develop strategies that support business transformation and profitable growth.
- Strong stakeholder management, consulting, and communication skills, including data storytelling and executive presentations.
- Experience with sales analysis, marketing insights, and quantitative analysis is preferred.
- Knowledge of enterprise architecture frameworks, cloud platforms, integration solutions, and modern data ecosystems.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Lead Azure Data Engineering Architect – Lloyds Marketplace employer: BlackCube Labs
At BlackCube Labs, we pride ourselves on fostering a creative and collaborative work environment that empowers our employees to excel in their craft. With flexible working arrangements and a comprehensive benefits package, we support your professional growth while ensuring a healthy work-life balance. Join us in a vibrant location where innovation thrives, and take your career in CG animation to new heights.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Azure Data Engineering Architect – Lloyds Marketplace
✨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 BlackCube Labs!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Azure Data Engineering Architect – Lloyds Marketplace at BlackCube Labs.
✨Leverage Professional Networks
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 BlackCube Labs.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Azure Data Engineering Architect – Lloyds Marketplace at BlackCube Labs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Azure Data Engineering Architect – Lloyds Marketplace
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 BlackCube Labs, 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 BlackCube Labs. 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 BlackCube Labs
✨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 BlackCube Labs!
✨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.