At a Glance
- Tasks: Design and build cloud-based data solutions using AWS, Snowflake, and DBT.
- Company: Join a major UK brand focused on loyalty and rewards.
- Benefits: Competitive daily rate, flexible remote work, and potential contract extensions.
- Other info: Diverse and inclusive workplace with excellent collaboration opportunities.
- Why this job: Make an impact in a mature engineering environment prioritising data strategy.
- Qualifications: Experience as a Data Engineer with strong skills in AWS, Snowflake, and SQL.
Rate - £550 - £600 per day - Outside IR35
Location - London, once a month onsite
Duration - Initial 6 Month Contract - Extensions Expected
The Opportunity:
We're supporting a major UK household brand within its loyalty and rewards division as it continues to invest heavily in its data platform and wider data strategy.
As part of this growth, they are looking to engage experienced Data Engineers to help design, build and enhance cloud based data solutions using AWS, Snowflake and DBT. Working alongside senior technical leadership, you'll play a key role in developing scalable data products, improving platform capability and delivering high quality data solutions that support critical business outcomes.
This is an excellent opportunity to join a long term programme within a mature engineering environment where data is a strategic priority.
Key Responsibilities:
- Develop, maintain and optimise data pipelines and data products within an AWS, Snowflake and DBT environment.
- Design and enhance data models that support analytical and operational use cases.
- Deliver scalable, reliable and performant cloud based data solutions.
- Collaborate with engineers and technical stakeholders to deliver business requirements.
- Contribute to code reviews, engineering standards and best practices.
- Support ongoing platform enhancements and continuous improvement initiatives.
Required Skills & Experience:
- Strong commercial experience as a Data Engineer.
- Hands on expertise with AWS, Snowflake and DBT.
- Strong SQL development and optimisation skills.
- Experience building and supporting modern cloud based data platforms.
- Solid understanding of data modelling and data transformation principles.
- Ability to work effectively within collaborative engineering teams.
Desirable Experience:
- Airflow
- Databricks
- Experience supporting AI or machine learning initiatives.
- Semantic layer experience.
- Exposure to Azure and multi cloud environments.
- Understanding of Inmon 3NF data modelling methodologies.
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineer - Snowflake / 3NF in London employer: Sanderson
At Sanderson, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Belfast. Our commitment to employee growth is evident through tailored development programmes and opportunities for advancement, ensuring that our team members thrive in their careers while enjoying competitive rewards and a strong focus on health and safety compliance. Join us to take ownership of impactful projects and be part of a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Snowflake / 3NF 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 Sanderson 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.
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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 Sanderson.
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sanderson, 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 Sanderson, 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 Sanderson’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sanderson
✨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 Sanderson.
✨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 Sanderson.
✨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 Sanderson.
