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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 in the data world while working from anywhere.
- Qualifications: 3+ years as a Data Engineer with strong Databricks and Python skills.
- Other info: Exciting opportunity for career growth in a dynamic 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
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 Brighton 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 Brighton
✨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 those interviews! Brush up on your technical knowledge, especially around AWS or Azure services. Be ready to discuss how you've optimised Spark jobs or managed data quality in past roles.
✨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, it’s a great way to get noticed by recruiters who are looking for talent like yours.
We think you need these skills to ace Data Engineer in Brighton
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 key achievements and responsibilities. We appreciate straightforward communication that gets right to the heart of your qualifications.
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. Plus, we love seeing candidates who take that extra step!
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 questions. Being able to discuss your hands-on experience with these tools will show that you're not just familiar but truly capable.
✨Prepare for Scenario-Based Questions
Expect to be asked about specific scenarios where you've designed or optimised data pipelines. Think of examples from your past work where you tackled challenges related to ETL/ELT workflows or data quality management. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Showcase Collaboration Skills
Since the role involves working with analytics and ML teams, be ready to discuss how you've collaborated with others in previous roles. Highlight any experiences where you’ve integrated data from multiple sources or supported model development, as this will demonstrate your ability to work cross-functionally.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the current projects they’re working on, or how they measure success in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
