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- Tasks: Design and maintain data pipelines using Databricks and Apache Spark.
- Company: Join a forward-thinking company that values innovation and remote work.
- Benefits: Earn £400-500 per day, fully remote, with 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 tech environment.
The predicted salary is between 80000 - 120000 £ per year.
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
Required Qualifications
- 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 Doncaster 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 Doncaster
✨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 a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Apache Spark. 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 optimising Spark jobs – 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 match your skills, and applying directly can sometimes give you an edge. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Data Engineer in Doncaster
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!
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 your background makes you a great fit for the role. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool projects involving data pipelines or ETL workflows, make sure to mention them! We want to see your hands-on experience and how you've tackled challenges in the past.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Searches @ Wenham Carter
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Apache Spark, and the cloud services mentioned in the job description. Brush up on your Python and SQL skills, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and maintained data pipelines. Highlight your experience with ETL/ELT workflows and how you’ve optimised them for performance and cost. Real-world examples will make you stand out!
✨Understand Delta Lake Architecture
Familiarise yourself with the Bronze/Silver/Gold layers of Delta Lake. Be ready to explain how you’ve implemented these architectures in past roles and the benefits they bring to data management.
✨Collaboration is Key
Since the role involves working with analytics and ML teams, be prepared to discuss how you’ve collaborated with other departments in previous jobs. Emphasise your communication skills and how you ensure data quality and validation across teams.
