At a Glance
- Tasks: Design and maintain ETL pipelines and data workflows using Alteryx and Dataiku.
- Company: Dynamic recruitment agency focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with Agile teams in a fast-paced, rewarding atmosphere.
- Why this job: Join a cloud-first environment and make a real impact with your data skills.
- Qualifications: Experience with Alteryx, Dataiku, Python, and SQL is essential.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic recruitment agency is seeking an experienced Data Engineer to design and maintain ETL pipelines and data workflows. The ideal candidate will have significant hands-on expertise in Alteryx and Dataiku, along with strong skills in Python and SQL.
Responsibilities include migrating workflows and collaborating with Agile teams to deliver impactful data solutions in a cloud-first environment. If you have the necessary skills and are looking for a fulfilling role, we’d love to hear from you.
Data Engineer (Alteryx/Dataiku) - Cloud Pipelines employer: Queen Square Recruitment
As an Operational Acceptance Test (OAT) Lead, you will join a dynamic and innovative team within a global technology and consulting organisation that prioritises employee growth and development. Our collaborative work culture fosters creativity and encourages you to take ownership of your projects, while our commitment to large-scale transformation programmes ensures that your contributions have a meaningful impact on critical national infrastructure services. With access to modern cloud technologies and a focus on service transition practices, this role offers unique opportunities for professional advancement in a complex enterprise environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Alteryx/Dataiku) - Cloud Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Alteryx and Dataiku. 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 ETL pipelines and data workflows. Use platforms like GitHub to share your projects, especially if they involve Python and SQL. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies. Since collaboration is key in this role, be ready to discuss how you've worked in Agile teams before and how you can contribute to delivering impactful data solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer (Alteryx/Dataiku) - Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Alteryx, Dataiku, Python, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool ETL pipelines or data workflows, make sure to mention them! We love seeing real-world examples of your work, especially if they relate to cloud environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your Tools Inside Out
Make sure you’re well-versed in Alteryx and Dataiku. Brush up on your ETL pipeline design and data workflow management skills. Be ready to discuss specific projects where you've used these tools, as this will show your hands-on expertise.
✨Showcase Your Coding Skills
Since Python and SQL are key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Understand Agile Methodologies
Familiarise yourself with Agile principles and how they apply to data engineering. Be prepared to discuss your experience working in Agile teams and how you’ve contributed to delivering impactful data solutions in a cloud-first environment.
✨Prepare Questions That Matter
Think of insightful questions to ask about the company’s data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers!
