At a Glance
- Tasks: Build and maintain scalable data architectures and pipelines while collaborating with a dynamic team.
- Company: Leading provider of student accommodation in the UK with an innovative culture.
- Benefits: Discretionary bonus, 25 days' paid holiday, and a supportive work environment.
- Why this job: Join a forward-thinking team and make a real impact on data solutions.
- Qualifications: Proficient in SQL, Python, Spark, and pipeline management tools like Airflow.
- Other info: Exciting opportunities for growth in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading provider of student accommodation in the UK is seeking a skilled Data Engineer to join their innovative team. The role involves building and maintaining scalable data architectures and pipelines, and collaborating with other engineers.
Candidates should be proficient in SQL, Python, and Spark, with experience in pipeline management tools such as Airflow.
The position offers various benefits including a discretionary bonus and 25 days' paid holiday.
Data Engineer - Build Scalable Pipelines & Platforms in Bristol employer: Unite Students
Contact Detail:
Unite Students Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Build Scalable Pipelines & Platforms in Bristol
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers on LinkedIn or at meetups. Ask them about their experiences and any tips they might have for landing a role in data engineering.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Spark. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems. Brush up on pipeline management tools like Airflow, as these are often key topics during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better chance to stand out.
We think you need these skills to ace Data Engineer - Build Scalable Pipelines & Platforms in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Spark. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data architectures and how you can contribute to our innovative team. Keep it concise but impactful!
Showcase Your Pipeline Management Skills: Since we’re looking for someone experienced with pipeline management tools like Airflow, make sure to mention any relevant experience you have. We love seeing practical examples of how you've managed data pipelines in the past!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Unite Students
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and Spark skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building scalable data architectures.
✨Showcase Your Pipeline Management Experience
Familiarise yourself with pipeline management tools like Airflow. Prepare examples of how you've implemented or managed data pipelines, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Collaboration is Key
Since the role involves working closely with other engineers, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you contribute to a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.