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- Tasks: Design and optimise data pipelines using AWS and Alteryx for innovative projects.
- Company: Join a trusted UK brand with a forward-thinking tech team.
- Benefits: Competitive pay, flexible remote work, and opportunities for professional growth.
- Why this job: Make an impact in cloud infrastructure and automation while enhancing your skills.
- Qualifications: Experience with AWS, Alteryx, SQL, and problem-solving in fast-paced environments.
- Other info: Collaborative culture with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: York/Remote (twice a month in the office)
WRK digital is excited to partner with a well‑known and trusted UK brand to recruit a skilled Data Engineer for a new contract opportunity. This is a fantastic chance to join a forward‑thinking technology team focused on scalability, automation, and cloud infrastructure innovation. The successful candidate will play a key role in designing, building, and optimising data pipelines and analytical workflows, with a strong focus on AWS cloud services and Alteryx data automation.
Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines across AWS environments.
- Develop, optimise, and automate workflows in Alteryx to support data transformation and analytics.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver high‑quality data solutions.
- Implement best practices for data quality, governance, and security within cloud and automation platforms.
- Monitor and troubleshoot data pipelines and Alteryx workflows to ensure reliability and performance.
- Contribute to ongoing enhancements in cloud architecture, tooling, and data engineering standards.
Required Skills
- Strong hands‑on expertise with AWS, ideally including: S3, Lambda, Glue, Step Functions, Redshift or other cloud data warehousing solutions, IAM, CloudWatch, and related services.
- Advanced proficiency with Alteryx Designer and/or Alteryx Server.
- Solid SQL skills and experience working with relational and cloud‑based databases.
- Familiarity with Python or similar scripting languages for automation and data processing.
- Excellent problem‑solving skills and the ability to work independently in a fast‑paced environment.
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Information Technology and Engineering
Industries: Technology, Information and Media, and Rail Transportation
Data Engineer employer: WRK digital
Contact Detail:
WRK digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Alteryx. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing ETL pipelines or optimising workflows—this will impress interviewers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our forward-thinking team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with AWS, Alteryx, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Skills: Don’t just list your skills; demonstrate them! If you’ve worked on specific projects or have examples of your work with ETL/ELT pipelines or Alteryx workflows, share those in your application. We’re keen to see what you can do!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at WRK digital
✨Know Your Tech Stack
Make sure you’re well-versed in AWS services like S3, Lambda, and Glue. Brush up on your Alteryx skills too! Being able to discuss how you've used these tools in past projects will show you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Whether it’s optimising a pipeline or troubleshooting a workflow, having specific stories ready will demonstrate your expertise and thought process.
✨Understand the Business Needs
Familiarise yourself with the company’s goals and how data engineering supports them. Be ready to discuss how you can collaborate with data analysts and stakeholders to deliver high-quality data solutions that align with their objectives.
✨Ask Insightful Questions
Prepare questions that show your interest in the role and the company. Inquire about their current data challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
