At a Glance
- Tasks: Design and optimise data pipelines using cutting-edge tech like Snowflake and Azure.
- Company: Join a global leader in digital transformation with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact in the Asset & Wealth Management sector with modern cloud technologies.
- Qualifications: Experience in Data Engineering, SQL, Python, and cloud solutions is essential.
The predicted salary is between 59400 - 72600 £ per year.
We are seeking a talented Software/Data Engineer to join our Data Platforms team and help build, modernise, and support a strategic enterprise data platform within the Asset & Wealth Management sector. This role is ideal for a hands-on engineer with strong Data Engineering experience across Snowflake, Azure, Python, dbt, and CI/CD, who enjoys delivering scalable data solutions and working with modern cloud and AI technologies.
Key Responsibilities
- Design, build, and optimise data pipelines, transformations, and data models using Snowflake, SQL, Python, and dbt
- Develop and support cloud-based data solutions within Azure
- Manage source control, deployments, and CI/CD processes using Azure DevOps or GitHub
- Build automation and integration services using Python
- Support production environments, troubleshoot issues, and improve platform reliability
- Collaborate with stakeholders, analysts, and engineers to deliver scalable and maintainable solutions
- Utilise AI-assisted development tools such as GitHub Copilot to improve productivity and delivery quality
What you will bring
- Strong experience in Data Engineering, ETL/ELT, SQL, Snowflake, and Python
- Experience building and maintaining dbt models and data pipelines
- Solid understanding of dimensional data modelling (Kimball methodology)
- Hands-on experience with Azure Data Factory, Azure Functions, CI/CD pipelines, and cloud deployments
- Experience using Azure DevOps or GitHub for source control and release management
- Knowledge of modern software engineering practices, testing, and code quality standards
- Asset & Wealth Management or Investment Management domain experience is essential
Nice to have skills
- Experience with .NET/C#, React, or TypeScript
- Advanced Snowflake capabilities including Snowpipe, Streams, and Tasks
- Power BI, semantic modelling, or data product experience
- Exposure to AI-enabled solutions and development tools
What We're Looking For
- A proactive engineer who takes ownership and delivers high-quality solutions
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder engagement capabilities
- A collaborative team player who thrives in a fast-paced environment
Key Skills
- Snowflake
- SQL
- Python
- dbt
- Azure Data Factory
- Azure DevOps
- CI/CD
- ETL/ELT
- Data Modelling
- Asset & Wealth Management
Join us and help shape a modern, cloud-first data platform delivering critical insights and analytics across our Asset & Wealth Management business.
Software/Data Engineer – Data Platforms (Asset & Wealth Management) - Associate Data Architect II employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software/Data Engineer – Data Platforms (Asset & Wealth Management) - Associate Data Architect II
✨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 United States Digital Space LLC 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 United States Digital Space LLC.
✨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 United States Digital Space LLC.
We think you need these skills to ace Software/Data Engineer – Data Platforms (Asset & Wealth Management) - Associate Data Architect II
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at United States Digital Space LLC, 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 United States Digital Space LLC, 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 United States Digital Space LLC’s attention and show the tangible impact of your work.
How to prepare for a job interview at United States Digital Space LLC
✨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 United States Digital Space LLC.
✨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 United States Digital Space LLC.
✨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 United States Digital Space LLC.
