At a Glance
- Tasks: Support data pipelines and build scalable solutions in a modern cloud environment.
- Company: Leading Southwest-based business with a focus on data and analytics.
- Benefits: Competitive daily rate, mostly remote work, and hands-on experience with industry-leading tech.
- Why this job: Join a collaborative team and make an impact on strategic data initiatives.
- Qualifications: Experience in Data Engineering, strong SQL skills, and knowledge of Snowflake and AWS.
The predicted salary is between 65250 - 79750 £ per year.
A leading Southwest-based business is looking to bring in a Data Engineer to join its growing Data & Analytics team. This is an exciting opportunity to work on a range of strategic data initiatives while developing your skills within a modern cloud-based data environment. You'll join a collaborative, cross-functional team working alongside experienced Data Engineers, Analysts, Product Managers and business stakeholders to help deliver trusted, scalable data solutions that drive business insights and customer value. The organisation is investing heavily in its data platform, with a modern stack including Snowflake, dbt and AWS, providing an excellent opportunity to gain hands-on experience with industry-leading technologies.
Key Responsibilities
- Support the development and maintenance of data pipelines and data products
- Assist with building and enhancing data models and transformation processes
- Help deliver scalable data ingestion solutions within AWS and Snowflake
- Monitor and improve data quality, testing and platform reliability
- Work closely with senior engineers to adopt data engineering best practices
Skills & Experience
- Previous experience in a Data Engineering role
- Strong SQL skills and a good understanding of relational databases
- Proven Snowflake and AWS skills
- Experience with data modelling and data transformation concepts
- Understanding of ETL/ELT pipelines and data warehousing principles
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder engagement skills
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.
Junior Data Engineer employer: Sanderson Careers
Join a forward-thinking company that values innovation and collaboration, offering a fully remote role as a Technical Architect. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor junior colleagues, all while contributing to impactful digital solutions. Our inclusive work culture fosters creativity and teamwork, making it an excellent environment for professionals looking to make a meaningful difference in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer
✨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 Careers 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 Sanderson Careers.
✨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 Sanderson Careers.
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sanderson Careers, 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 Careers, 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 Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sanderson Careers
✨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 Careers.
✨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 Careers.
✨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 Careers.
