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- Tasks: Design and maintain high-performance data pipelines using Databricks.
- Company: Join a forward-thinking client focused on data infrastructure.
- Benefits: Flexible contract role with potential for extension and onsite options.
- Why this job: Take on substantial responsibility and solve challenging data problems from day one.
- Qualifications: Experience with Databricks and cloud platforms like AWS, Azure, or GCP.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
We’re seeking a skilled Data Engineer (contractor) to help our client build and scale their data infrastructure using Databricks.
Responsibilities
- Design, build and maintain scalable, high-performance data pipelines
- Work with streaming and batch data ingestion
- Optimize data quality and reliability
- Collaborate with analytics, product, and engineering teams
- Influence architecture decisions and shape best practices
Qualifications
- Proven experience with Databricks in production environments
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and related data services
- Experience with monitoring, logging, and troubleshooting
- Comfort with autonomy, ambiguity, and fast-paced environments
Details
- Contract role (6 months +), with potential extension
- Ideally 2 days a week onsite in Warrington, but can offer some flex if this is not feasible
- Start ASAP
If you’re passionate about data, like solving hard problems, and want substantial responsibility from day one — let’s talk.
Data Engineer in Warrington employer: Branch Tech
Contact Detail:
Branch Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a Data Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and cloud platforms. This will give potential employers a taste of what you can do and set 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 data pipelines or troubleshooting issues — it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and cloud platforms like AWS, Azure, or GCP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 building scalable data infrastructures. Let us know what excites you about this opportunity!
Showcase Problem-Solving Skills: In your application, share examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and adapt to fast-paced environments, so let that creativity flow!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Branch Tech
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your previous experiences using it in production environments, and think of specific examples where you designed or optimised data pipelines.
✨Show Off Your Cloud Skills
Since the role requires strong knowledge of cloud platforms like AWS, Azure, or GCP, be prepared to talk about your experience with these services. Highlight any projects where you’ve used them to enhance data quality and reliability.
✨Prepare for Collaboration Questions
This role involves working closely with analytics, product, and engineering teams. Think of times when you collaborated effectively with others, and be ready to share how you influenced architecture decisions or shaped best practices.
✨Embrace the Fast-Paced Environment
The job mentions comfort with autonomy and ambiguity, so be ready to discuss how you thrive in fast-paced settings. Share examples of how you've tackled challenges independently and adapted to changing circumstances.
