At a Glance
- Tasks: Lead the evolution of a Snowflake-based Data Lakehouse platform and deliver data solutions.
- Company: Fast-growing FCA-regulated financial services organisation with a dynamic culture.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for impactful projects.
- Other info: Initial 3-month contract with potential for extension and excellent career growth.
- Why this job: Make a real impact in the financial sector while working with cutting-edge data technologies.
- Qualifications: Experience in financial services and expertise in Snowflake, SQL, and Power BI.
Contract Location: London (Hybrid, 4 days per week onsite)
Contract Length: Initial 3-Month Contract
Rate: Up to £500 per day
Start Date: ASAP
The Role
We're supporting a fast-growing, FCA-regulated financial services organisation seeking a Senior Data Engineer to lead the evolution of its Snowflake-based Data Lakehouse platform. This is a hands-on contract role that will see you working across the full data life cycle, from architecture and ingestion through to modelling, governance, and business intelligence. You'll play a key role in delivering data solutions that support trading, operational, and commercial decision-making across the business.
Key Responsibilities:
- Design and enhance a Snowflake-based Data Lakehouse environment.
- Develop scalable data models and enterprise data warehouse solutions.
- Build and optimise dbt pipelines using best practice frameworks.
- Deliver business-critical reporting and dashboards through Power BI.
- Drive performance optimisation, governance, and data quality initiatives.
- Work directly with business stakeholders to translate requirements into technical solutions.
Essential Experience:
- Financial Services, Trading, Capital Markets, or FinTech experience.
- Proven experience designing and delivering Data Warehouse or Lakehouse solutions on Snowflake.
- Advanced SQL and data modelling expertise, including dimensional modelling and star/snowflake schemas.
- Strong commercial experience with dbt.
- Extensive Power BI experience.
- Strong Snowflake optimisation experience, including warehouse sizing, clustering, query profiling, and cost management.
- Excellent stakeholder engagement and communication skills.
If you are interested in finding out more details on the role, please apply today!
Senior Data Engineer (Snowflake) in London employer: Harvey Nash
Join a leading organisation that values continuous improvement and offers a collaborative work culture, where you will be part of a dedicated team enhancing a complex Dynamics 365 CE and Power Platform environment. With opportunities for professional growth and exposure to enterprise-scale solutions, this role is perfect for those looking to expand their consulting capabilities while working closely with experienced professionals in Birmingham and remotely. Enjoy the flexibility of remote work combined with the chance to make meaningful contributions to a large user base.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Snowflake) in London
✨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 Harvey Nash 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 Harvey Nash.
✨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 Harvey Nash.
We think you need these skills to ace Senior Data Engineer (Snowflake) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harvey Nash, 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 Harvey Nash, 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 Harvey Nash’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harvey Nash
✨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 Harvey Nash.
✨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 Harvey Nash.
✨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 Harvey Nash.
