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For Companies At a Glance
- Tasks: Design and maintain data pipelines using Databricks and Apache Spark.
- Company: Join a forward-thinking company with a focus on data innovation.
- Benefits: Earn £400-500 per day, 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.
The predicted salary is between 40000 - 50000 £ 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 Stockport 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 Stockport
✨Tip Number 1
Network like a pro! Reach out to fellow Data Engineers or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL workflows, and any projects using Databricks or Apache Spark. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AWS or Azure, and how you've tackled challenges in data quality and performance optimisation.
✨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 over other candidates.
We think you need these skills to ace Data Engineer in Stockport
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 Inside Out
Make sure you brush up on your Databricks and Apache Spark knowledge. Be ready to discuss how you've designed and maintained data pipelines in the past, and have examples of ETL/ELT workflows you've built. The more specific you can be about your experience, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially around data quality and performance optimisation. Think of a couple of scenarios where you had to troubleshoot or improve a data pipeline, and be ready to explain your thought process.
✨Familiarise Yourself with Cloud Services
Since the role requires experience with AWS or Azure, make sure you know the ins and outs of the services mentioned in the job description. Be prepared to discuss how you've used S3, EMR, Glue, or their Azure counterparts in your projects.
✨Collaboration is Key
This role involves working with analytics and ML teams, so be ready to share examples of how you've collaborated with others in the past. Highlight any experience you have with CI/CD processes and automated testing, as these are crucial for successful data pipeline management.
