At a Glance
- Tasks: Join a dynamic team to build data pipelines and develop applications using Python and SQL.
- Company: Leading Life Insurance client in the UK, offering a hybrid work environment.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Collaborative culture with strong focus on agile practices and career development.
- Why this job: Make an impact in capital markets while working with cutting-edge cloud technologies.
- Qualifications: Proficiency in Python, SQL, and experience with AWS and Snowflake required.
Job Type: Contract/Temporary
Location: London
Negotiable
Job Ref: BBBH167762_1782720475
Date Added: Consultant
6 Month Contract London (Hybrid)
Our UK leading Life Insurance client are looking for a Data Engineer to join their team on an initial 6-month contract.
Key skills/knowledge required:
- Proficiency in Python and SQL for data engineering and application development
- Experience building data pipelines and ETL processes for capital markets data
- Hands-on experience with AWS cloud services and Snowflake data platform
- Experience with cloud-native development patterns and AWS services (Lambda, S3, RDS, etc.)
- Hands-on experience integrating with OMS platforms (Aladdin, Murex, Charles River, etc.) including data extraction, transformation, and real-time feeds
- Strong understanding of the capital markets trade lifecycle and order management workflows
- Strong problem-solving skills with ability to design scalable, resilient solutions
- Ability to work effectively with front-office stakeholders and translate business requirements into technical solutions
- Strong collaboration and communication skills, with ability to work effectively in cross-functional teams
- Understanding of trading workflows, trade lifecycle, and settlement processes
- Knowledge of data engineering workflows, pipelines, and integration patterns
- Awareness of regulatory and compliance considerations in capital markets delivery
- Familiarity with agile principles and team-based delivery
- Familiarity with agile delivery practices and frameworks (Scrum, Kanban, Team Topologies)
- Exposure to CI/CD pipelines, DevOps tooling, and automated testing practices
- Experience in regulated financial services environments
- Knowledge of data modelling, streaming, and real-time integration patterns
- Experience with multiple asset classes (equities, fixed income, derivatives)
- Knowledge of UK regulatory environment and FCA requirements
- Awareness of portfolio management processes and related systems
- Experience working directly with front-office or business stakeholders
- Background in data-intensive and cloud-native solution delivery
- Exposure to complex, multi-team delivery environments with dependencies
If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay.
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Data Engineer (Snowflake & Asset Management) employer: Lorien
Join a leading Life Insurance client in London as a Data Engineer, where you will thrive in a dynamic and collaborative work culture that values innovation and professional growth. With a focus on capital markets and cutting-edge technology, this role offers the opportunity to work with advanced data engineering tools and cloud services, while enjoying a hybrid working model that promotes work-life balance and flexibility. The company is committed to employee development, providing access to training and resources that empower you to excel in your career within the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Snowflake & Asset Management)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien.
