At a Glance
- Tasks: Develop data pipelines and deliver insights for decision-making.
- Company: Innovative tech firm focused on AI and emerging technologies.
- Benefits: Flexible hybrid work, competitive pay, and a supportive team environment.
- Other info: Embrace diversity and inclusion in a collaborative workplace.
- Why this job: Join a dynamic team and make a real impact with your data skills.
- Qualifications: Experience in Python, SQL, Snowflake, and Azure DataBricks required.
The predicted salary is between 63000 - 77000 £ per year.
About us:
We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability.
About you:
- You care deeply about producing high-quality work that delivers real value.
- You’re comfortable navigating ambiguity and solving complex problems collaboratively.
- You bring strong expertise in your craft, alongside a willingness to keep learning.
- You communicate clearly and build trust quickly with clients and teammates.
- You’re pragmatic, adaptable and outcome-focused.
- You value low-ego collaboration and enjoy working as part of multidisciplinary teams.
What you’ll bring to the table:
- Develop pipelines that bring data to life for decision making, either delivering insight or for more sophisticated data science applications.
- Be confident in being hands-on with data, applying the practicalities of quality, flow, and organisation of information.
- Bring experience in coding in Python and SQL.
- Have solid experience of Snowflake and Azure DataBricks.
- Have a good understanding of AI usage of data.
- Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc).
- Have experience with DataOps concepts.
Equal Opportunities Statement:
Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.
Data Engineer (Contract) in Skipton employer: AND Digital
AND Digital is an exceptional employer that prioritises collaboration, innovation, and personal growth. With a unique 'Blended Working' model, employees enjoy flexibility in their work locations while engaging in meaningful projects that impact lives. The company fosters a supportive culture with dedicated career development teams, training budgets, and regular team socials, making it an ideal place for those looking to thrive in a dynamic tech environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Contract) in Skipton
✨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 AND Digital 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 AND Digital.
✨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 AND Digital.
We think you need these skills to ace Data Engineer (Contract) in Skipton
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at AND Digital, 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 AND Digital, 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 AND Digital’s attention and show the tangible impact of your work.
How to prepare for a job interview at AND Digital
✨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 AND Digital.
✨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 AND Digital.
✨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 AND Digital.
