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- Tasks: Support large data programs and implement strategic data platforms.
- Company: Join Munich Re Specialty, a leading Primary Specialty Insurance provider.
- Benefits: Competitive salary, supportive culture, and opportunities for personal growth.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge data solutions.
- Qualifications: Experience in SQL, Python, and data integration; insurance knowledge is a plus.
- Other info: Dynamic team atmosphere with a focus on collaboration and accountability.
The predicted salary is between 36000 - 60000 £ per year.
About us At Munich Re Specialty – Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, underpinned by an effective and adaptable strategy, superior products and industry leaders working in a supportive environment to achieve this. At the heart of our success is a strong culture where people are encouraged to be present, bold and curious, allowing them to achieve their individual goals.
We are currently looking for a Data Engineer to be based in Manchester on a full‑time basis, reporting into the Head of Subsection – Data and Analytics. This exciting role is a high impact position needed to support the delivery of large data programs within Munich RE’s Global Specialty Organisation (GSI). This role will help the organisation to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support for acquisition, integration, transformation and secure storage of mission‑critical data.
Responsibilities
- Strong hands on skills that can be leveraged directly in the deliverable and/or ensuring that their team is effectively working.
- Passionate about solving problems, enjoy connecting the dots between data, strategy and analytics, obsess with generating tangible benefits and high performance.
- Strong influencing skills and experience with a track record of empowering people to execute efficiently towards a common and understood goal.
- Ability to successfully juggle multiple, competing priorities and coordinate multiple tasks to ensure that work output from others is delivered on‑time and accurately while operating in a fast paced and rapidly evolving environment.
- Advanced verbal and written communications skills, as well as active listening, along with teamwork and presentation are essential.
- Extensive hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns – ETL tooling – Informatica IICS, ADF, Notebooks, Databricks, Delta Lake, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred.
- Building and maintaining data models (Logical and Physical) including dimensional and entity‑relationship models.
- 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process.
- Prior experience in insurance and/or reinsurance in support of specialty lines is a plus.
- Experience with on‑prem and cloud versions of databases such as Oracle and SQL Server.
Knowledge and Skills
- Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, Azure DevOps).
- Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner.
- Experience with mass ingestion capabilities and cloud process flows, data quality and master data management.
- Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred.
- Industry certifications in Azure, Databricks or data architecture is advantageous.
- Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps).
- Experience in migrating data and associated systems from on‑prem to Cloud environments.
- Consulting and collaborative working style creating a culture of accountability and sharing.
- Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus.
- Excellent verbal and written communication coupled with negotiation skills.
- Ability to work in a demanding and fast‑paced environment.
- Lloyds/Company Market (re)insurance experience with a good knowledge of London market or specialty insurance data domains and terminology is required.
- Understanding of insurance domain concepts with hands‑on experience in data modeling is required.
- Knowledge of data warehousing and ETL/ELT pipelines.
If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!
Data Engineer in Manchester employer: Munich Re Specialty - Global Markets
Contact Detail:
Munich Re Specialty - Global Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Munich Re. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got hands-on experience with SQL, Python, or data integration tools, be ready to discuss specific projects. We love seeing how you've tackled real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and data architecture principles. We want to see that you're not just a tech whiz but also understand how to work effectively in a team.
✨Tip Number 4
Don't hesitate to apply through our website, even if you don't tick every box. We value passion and potential just as much as experience, so let us see what you've got!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering shine through! We want to see how passionate you are about solving problems and connecting the dots between data, strategy, and analytics.
Tailor Your Experience: Make sure to highlight your relevant experience in SQL, Python, and data integration. We love seeing how your skills align with our needs, so don’t be shy about showcasing your hands-on experience with ETL tooling and cloud platforms!
Communicate Clearly: Your written communication skills are key! Keep your application clear, concise, and well-structured. We appreciate a good narrative that tells us about your journey and how it relates to the role of Data Engineer.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Munich Re Specialty!
How to prepare for a job interview at Munich Re Specialty - Global Markets
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any ETL tools mentioned in the job description. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience and problem-solving skills.
✨Showcase Your Communication Skills
Since strong verbal and written communication is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present a past project, so think about how you can clearly convey your contributions and the impact of your work.
✨Demonstrate Agile Experience
Familiarise yourself with Agile methodologies like Scrum or SAFe, as well as tools like Jira or Azure DevOps. Be prepared to share examples of how you've successfully implemented solutions using these frameworks, especially in fast-paced environments.
✨Connect with the Insurance Domain
If you have experience in insurance or reinsurance, make sure to highlight it. Even if your background isn't a perfect match, showing an understanding of industry terminology and concepts can set you apart from other candidates.
