At a Glance
- Tasks: Join a dynamic team to develop automated solutions and enhance data processes.
- Company: Global Financial Services Company based in London, focused on innovation.
- Benefits: £75,000 salary, full pension, private healthcare, annual bonus, and up to 33 days holiday.
- Other info: Inclusive workplace celebrating diversity and offering excellent career growth.
- Why this job: Make a real impact in the asset management industry with cutting-edge technology.
- Qualifications: 5 years of Data Engineering experience and knowledge of asset management required.
The predicted salary is between 75000 - 105000 £ per year.
We’re seeking Data Engineers for a Global Financial Services Company based in London. These opportunities will be based on a 12 Month Fixed Term Contract (FTC) where two days per week you will work from the Company’s London office.
ASSET MANAGEMENT INDUSTRY EXPERIENCE IS ESSENTIAL and at least 5 years of experience within Data Engineering and/or Data Architecture environments.
These Data Engineering opportunities will pay £75,000pa and will include full pension contributions, private health care, annual bonus scheme and up to 33 days paid holiday (pa).
The new Data Engineers will effectively work as members in a new development and operations team to assist in the implementation of technical solutions. You will play an integral part within the team to contribute to the evolution of the organisation’s technical environment through systems development and automation of the current business processes, to facilitate future business growth.
What experience is required:
- 5 years of experience within Data Engineering and/or Data Architecture environments.
- Experience with Bloomberg Data Licence would be a major advantage.
- Experience of working in an information and performance team within an asset management organisation.
- Advanced experience using Microsoft .NET (ASP.NET Core), SQL Server, SQL Server Integration Services (SSIS), web and database development, automation and reporting using Power BI and Excel including VBA.
- Expert in at least one programming language like C#, Python, Java including JavaScript along with any exposure to one or more of Azure DevOps (Pipelines, CI/CD) and GIT.
- Good understanding of Investment products.
Tasks that you’ll spend your time doing:
- Work closely with the business to understand how the legacy (mainly Excel-based) processes operate.
- Support various teams with the running of the manual processes by resolving technical issues, running a monthly maintenance procedure, and building enhancements, as necessary.
- Develop and rollout automated solutions in accordance with the technical standards set by the DevOps Manager.
- Work with the business analyst to capture the requirements of an automated solution.
- Develop the data structures and calculation engine in the data warehouse (SQL Server).
- Work with a .NET developer to specify and develop the GUIs where required and maintain going forward.
- Developing enhancements to the data platform to meet the business needs.
- Produce high-quality documentation to enable on-going support and audits.
- Work with our strategic data partners to source data as and when needed.
If you’d like to learn more about these Data Engineering opportunities please click the APPLY BUTTON and a Spencer Scott Representative will make contact to discuss in detail.
Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to create inclusive working environments for all our clients.
Data Engineer employer: Spencer Scott - Technology Recruitment
At Spencer Scott Ltd, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer hybrid working options, competitive benefits, and ample opportunities for professional growth within the HealthTech sector, making it a rewarding environment for those passionate about data engineering and impactful healthcare solutions.
Contact Details:
Spencer Scott - Technology Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the asset management industry. Attend meetups, webinars, or even just grab a coffee with someone already in the field. You never know who might have the inside scoop on job openings!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with tools like SQL Server, Power BI, and any programming languages you’re fluent in. Share specific examples of how you've used these skills to solve problems in past roles.
✨Tailor Your Approach
Before any interview, do your homework! Understand the company’s tech stack and be ready to discuss how your background in data engineering aligns with their needs. This shows you're genuinely interested and prepared.
✨Apply Through Us!
Don’t forget to apply through our website! We’ve got your back and can help you navigate the application process. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in Data Engineering and Asset Management. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the company’s needs, so let your personality come through.
Showcase Technical Skills:Since this role requires advanced technical skills, make sure to list your proficiency in tools like SQL Server, .NET, and any programming languages you know. We want to see that you can hit the ground running!
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, we’re excited to hear from you directly!
How to prepare for a job interview at Spencer Scott - Technology Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Microsoft .NET, SQL Server, and any programming languages like C# or Python. Be ready to discuss specific projects where you've used these technologies, as well as any experience with Azure DevOps and GIT.
✨Showcase Your Asset Management Experience
Since asset management industry experience is essential, prepare examples of how you've contributed to similar environments. Highlight any challenges you've faced and how you overcame them, particularly in data engineering or architecture roles.
✨Understand the Business Needs
Familiarise yourself with the company's operations and how data engineering can enhance their processes. Be prepared to discuss how you would approach automating legacy systems and improving data workflows based on your understanding of their business model.
✨Prepare for Team Collaboration Questions
As you'll be working closely with various teams, think about your past experiences in collaborative settings. Prepare to share how you've effectively communicated with business analysts and developers to deliver successful projects, focusing on teamwork and problem-solving.
