At a Glance
- Tasks: Rebuild and own a cutting-edge data platform using Snowflake and dbt.
- Company: High-growth tech business with major investment and industry-leading clients.
- Benefits: Competitive salary, profit share, and flexible remote work options.
- Other info: Clear career progression with opportunities for leadership or hands-on roles.
- Why this job: Shape the future of data engineering and make a real impact from day one.
- Qualifications: Hands-on Snowflake experience and strong skills in dbt, SQL, and Python.
The predicted salary is between 50000 - 80000 £ per year.
A high-growth technology business is hiring a Data Engineer to help rebuild its data platform from the ground up. The company has recently secured major investment and is scaling fast, working with some of the biggest names in its industry. This is a chance to come in early, shape how things are built, and put your stamp on the role. The data function has just been restructured. Right now there is a BI Analyst in seat, and you would join as the first dedicated Data Engineer, working alongside them to turn a messy data estate into something reliable, well-governed and useful to the business.
The platform has moved onto Snowflake, so strong Snowflake experience is essential. You will own the core of the data platform and have real influence over its direction. As the team grows, there is a clear path to progress, and you can choose to stay deeply hands-on or move toward leadership later. They are flexible on which.
The role:
- Rebuild and own the core data platform, taking it from messy to dependable
- Design and maintain ELT pipelines and transformation layers the wider business can trust
- Tune Snowflake for performance and keep warehouse costs under control
- Build dbt models and keep their documentation accurate and usable
- Keep ingestion healthy by chasing down broken connectors, schema drift and pipeline failures before they cause problems
- Feed clean, reliable datasets into BI and reporting tools
- Partner with Finance and commercial teams on revenue, margin and P&L reporting
- Raise the bar on data quality, governance, observability and consistent metrics
Ideal experience:
- Hands-on Snowflake experience (this one is non-negotiable)
- Strong dbt, advanced SQL and production-grade Python
- A track record building and maintaining ELT and ingestion pipelines
- Comfortable working on cloud infrastructure, AWS preferred
- Confident working directly with business stakeholders and owning problems end to end
This role is fully remote within the UK, with occasional team get-togethers. On top of base salary, there is a profit share scheme paid twice a year (recently tracking 15–20%), with a share scheme planned further down the line. The salary range spans levels, so the offer will reflect your experience. If you want to build something properly rather than maintain someone else's mess, get in touch.
Data Engineer (Snowflake / dbt) – Fully Remote, UK employer: Partnerscale
Join a high-growth technology business that is redefining its data landscape and offers a unique opportunity to shape the future of its data platform. With a fully remote work culture, competitive salary, profit share, and clear paths for career progression, this company prioritises employee growth and innovation. Collaborate with industry leaders while enjoying the flexibility of remote work and occasional team gatherings, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Snowflake / dbt) – Fully Remote, UK
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We think you need these skills to ace Data Engineer (Snowflake / dbt) – Fully Remote, UK
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Partnerscale, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Partnerscale. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Partnerscale
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Partnerscale!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
