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For Companies At a Glance
- Tasks: Join a dynamic team to design and develop impactful data services.
- Company: Be part of a leading global insurance specialist based in London.
- Benefits: Enjoy a market-leading salary, bonuses, and a meritocratic culture.
- Why this job: Make a real impact from day one with ownership over your work.
- Qualifications: 5+ years in data engineering; AWS experience is essential.
- Other info: Unique opportunity for progression within a well-established firm.
The predicted salary is between 48000 - 84000 £ per year.
This is a fantastic opportunity for a smart, motivated problem-solver to be the first-ever senior data hire at this London-based global firm, joining the Business Engineering team that develops and enhances systems used across the business, including front office trading, middle office operations and actuarial functions. You would work with other highly experienced engineers to design and develop data services across the business, including feed and trade processing systems, as well as data pipelines to extract and transform critical data used by strategists.
Successful candidates would have the potential to make a real impact from day one with a great deal of influence and ownership over their work. This is a unique opportunity for huge impact and progression within a well-established firm.
Requirements
- 5+ years\’ experience of data engineering (within financial services is preferred, but not necessary)
- Solid experience of data integration, modelling, optimisation and data quality tools and techniques
- Experience with AWS is a must-have
- Knowledge of SDLC and development best practices
Desirable
- Experience with any of the following: SQL Server, PostgreSQL, NoSQL database technologies
- Familiarity developing and maintaining data warehouses/lakes using big data solutions (e.g. Snowflake, Databricks)
Benefits
- Market-leading base + bonuses
- Meritocratic work culture and superb chance to work with the best engineers
- Direct business impact, little to no \’red tape\’
Contact
If you think you\’re a suitable candidate for the role and would like further info, please contact:
Stan Cannons
linkedin.com/in/stan-cannons-86023b237
#J-18808-Ljbffr
Data Engineer- Leading Global Insurance Specialist employer: BMO Harris Bank
Contact Detail:
BMO Harris Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer- Leading Global Insurance Specialist
✨Tip Number 1
Network with professionals in the insurance and financial services sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture at this global firm.
✨Tip Number 2
Familiarise yourself with AWS and any relevant data integration tools. Consider taking online courses or certifications that can bolster your knowledge and demonstrate your commitment to mastering these technologies.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving data pipelines and optimisation. Be ready to explain your problem-solving approach and how you’ve made a tangible impact in past roles.
✨Tip Number 4
Research the company’s current data systems and challenges they might be facing. This will help you tailor your discussions during interviews and show that you’re proactive and genuinely interested in contributing to their success.
We think you need these skills to ace Data Engineer- Leading Global Insurance Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, especially any work related to financial services. Emphasise your skills in data integration, modelling, and optimisation, as well as your familiarity with AWS.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience with data pipelines and systems development. Show that you understand the impact of your work on the business.
Showcase Relevant Projects: If you have worked on specific projects that demonstrate your expertise in data engineering, include them in your application. Highlight any experience with SQL Server, PostgreSQL, or big data solutions like Snowflake or Databricks.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at BMO Harris Bank
✨Showcase Your Problem-Solving Skills
As a data engineer, you'll be expected to tackle complex challenges. Prepare examples from your past experience where you successfully solved a problem or improved a process. This will demonstrate your analytical thinking and ability to make an impact.
✨Familiarise Yourself with Their Tech Stack
Research the technologies mentioned in the job description, especially AWS and any database technologies like SQL Server or PostgreSQL. Being able to discuss these tools confidently will show that you're serious about the role and understand their needs.
✨Understand the Business Context
Since this role involves working across various business functions, take time to understand how data engineering supports trading, operations, and actuarial functions. This knowledge will help you articulate how you can contribute to their success.
✨Prepare Questions for Them
Interviews are a two-way street. Prepare insightful questions about the team dynamics, the projects you'll be working on, and the company's vision for data engineering. This shows your genuine interest and helps you assess if it's the right fit for you.
