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- Tasks: Design and maintain data pipelines using Databricks and Apache Spark.
- Company: Join a forward-thinking company with a focus on data innovation.
- Benefits: Competitive daily rate, fully remote work, and flexible hours.
- Why this job: Make an impact by optimising data workflows and collaborating with analytics teams.
- Qualifications: 3+ years as a Data Engineer with strong Databricks and Python skills.
- Other info: Exciting opportunity for career growth in a dynamic, remote environment.
We are currently recruiting a Data Engineer for one of our clients. The role is outside IR35 and is paying £400-500 per day, it will initially be for 6 months. It is also fully remote.
Key Responsibilities- Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark)
- Build and optimize ETL/ELT workflows for large-scale structured and unstructured data
- Implement Delta Lake architectures (Bronze/Silver/Gold layers)
- Integrate data from multiple sources (databases, APIs, event streams, files)
- Optimize Spark jobs for performance, scalability, and cost
- Manage data quality, validation, and monitoring
- Collaborate with analytics and ML teams to support reporting and model development
- Implement CI/CD, version control, and automated testing for data pipelines
- 3+ years of experience as a Data Engineer
- Strong experience with Databricks and Apache Spark
- Proficiency in Python (required); SQL (advanced)
- Hands-on experience with AWS or Azure cloud services:
- AWS: S3, EMR, Glue, Redshift, Lambda, IAM
- Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault
Data Engineer in Warrington employer: Searches @ Wenham Carter
Contact Detail:
Searches @ Wenham Carter 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 fellow Data Engineers or industry contacts on LinkedIn. A friendly chat can lead to hidden job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL workflows, and any cool projects you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Databricks and Apache Spark knowledge. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. It’s the best way to get noticed!
We think you need these skills to ace Data Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, Apache Spark, and any relevant cloud services like AWS or Azure. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed and maintained data pipelines or worked with ETL/ELT workflows. This gives us a clear picture of your hands-on experience and problem-solving skills in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for your achievements and responsibilities to make it easy for us to read. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Searches @ Wenham Carter
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Databricks, Apache Spark, and the cloud services mentioned in the job description. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding.
✨Prepare for Technical Questions
Expect to face technical questions that test your problem-solving skills and knowledge of data pipelines. Practice explaining your thought process when optimising ETL/ELT workflows or managing data quality. This will help you articulate your expertise clearly during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working with analytics and ML teams, be prepared to discuss examples of how you've collaborated with others in previous roles. Highlight any successful projects where teamwork played a key role in achieving results.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the challenges they face with their data pipelines, or how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
