At a Glance
- Tasks: Drive data delivery and architecture for innovative insurance solutions.
- Company: Dynamic company in the re/insurance sector with a focus on collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a team that values collaboration and offers excellent career advancement.
- Why this job: Make a real impact by tackling complex data challenges in a fast-paced environment.
- Qualifications: 10+ years in data delivery, strong SQL and Python skills required.
The predicted salary is between 59400 - 72600 £ per year.
In this role you will drive data delivery and architecture for complex insurance data solutions. You will collaborate with cross-functional teams to connect data strategy, analytics, and operational delivery, delivering tangible performance improvements. You’ll tackle data production challenges across on‑prem and cloud environments and mentor teams to execute efficiently in a fast-paced setting. The role offers impact through scalable data platforms and governance in a market of re/insurance expertise.
Responsibilities
- Guide data delivery and architecture across the data production lifecycle
- Develop and support ETL processes and data models
- Lead or influence agile delivery within a large system integration context
- Migrate data and systems from on‑premises to cloud environments
- Work with Delta Lakes, medallion architecture and dimensional data concepts
- Oversee data quality, master data management and data security considerations
- Coordinate multiple priorities and ensure timely, accurate outputs
- Communicate effectively with stakeholders and present results
Key requirements
- 10+ years of experience in data delivery and architecture principles
- Strong SQL and Python skills
- Experience with Databricks, ADF, Notebooks
- Delta Lakes concepts including medallion architecture and dimensional modelling
- Azure cloud platform experience; Oracle/SQL Server on‑prem or cloud
- Experience with Agile methodologies (Scrum, SAFe) and tools (Jira, AzureDevOps)
- Experience with mass ingestion, cloud process flows, and data quality/MDM
- Knowledge of data security challenges and tooling (e.g., Databricks)
- Lloyd’s/Company Market (re)insurance experience is a plus
- Excellent communication and collaboration skills
- Strong influencing skills
- Delivery-oriented
- Collaborative and accountable
Technical Data Specialist employer: Munich Re
Munich Re is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and mentorship, ensuring that our team members thrive in their careers. Our commitment to cutting-edge technology and Agile practices not only enhances job satisfaction but also positions our employees at the forefront of the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Specialist
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We think you need these skills to ace Technical Data Specialist
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!
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Craft a Tailored Cover Letter:For a full-time role at Munich Re, 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 Munich Re. 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 Munich Re
✨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!
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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 Munich Re!
✨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.
