At a Glance
- Tasks: Design and maintain scalable data pipelines for advanced reporting products.
- Company: Join a modern, data-driven team making impactful decisions.
- Benefits: Competitive daily rate, remote work, and collaborative environment.
- Other info: Inclusive culture welcoming diverse backgrounds and perspectives.
- Why this job: Contribute to meaningful projects that enhance data insights in healthcare.
- Qualifications: Strong experience in data engineering, ETL, and PySpark required.
The predicted salary is between 40000 - 60000 £ per year.
We are seeking an experienced Data Engineer to join a high-impact programme, supporting the development of advanced data dashboards and reporting products for a new service. This is a fantastic opportunity to work within a modern, data-driven environment, building robust pipelines and enabling high-quality insights that support critical decision-making.
The Role
You will play a key part in designing, building, and maintaining scalable data pipelines, ensuring data is efficiently ingested, transformed, and prepared for reporting. Working within an Agile, multidisciplinary team, you'll collaborate with Data Scientists, Analysts, and UCD professionals to deliver high-quality data products.
Key Responsibilities
- Develop and maintain data pipelines and ETL processes using PySpark
- Ensure data quality, reliability, and performance across reporting solutions
- Support testing and validation of dashboards and underlying datasets
- Collaborate with cross-functional teams in an Agile delivery environment
- Contribute to best practices including DevSecOps, TDD, and CI/CD
- Participate in pair programming and uphold collaborative coding standards
Required Skills & Experience
- Strong experience in data engineering and ETL development
- Proven expertise with PySpark and large-scale data processing
- Experience working with Palantir platforms (including FDP)
- Ability to work independently and proactively within Agile teams
- Experience collaborating with multidisciplinary teams (including UCD)
- Strong communication and stakeholder management skills
- Familiarity with modern engineering practices (DevSecOps, CI/CD, TDD)
Desirable
- Experience working with UK healthcare data / NHS datasets
Additional Requirements
- Must be a UK National with at least 5 years of continuous UK residency
- Must be eligible for BPSS clearance
Working Arrangement
Primarily remote role
If you're a highly motivated Data Engineer looking to contribute to a meaningful, large-scale programme, we'd love to hear from you.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineer (Remote) in London employer: Sanderson Government and Defence
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic remote work environment for Data Engineers. With a strong commitment to employee growth, you will have the opportunity to enhance your skills while contributing to impactful projects in the healthcare sector. Our inclusive culture fosters diversity and respect, ensuring that every team member feels valued and empowered to make a difference.
Contact Details:
Sanderson Government and Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Remote) in London
✨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 great role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is a great way to demonstrate your expertise with PySpark and ETL processes, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and collaborative coding practices. Be ready to discuss how you've worked with cross-functional teams and contributed to best practices in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it makes it easier for us to connect with you!
We think you need these skills to ace Data Engineer (Remote) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering and ETL development. We want to see how your skills with PySpark and large-scale data processing align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our Agile team. Be sure to mention any experience with Palantir platforms or UK healthcare data.
Showcase Your Collaboration Skills:Since we work in multidisciplinary teams, it's important to demonstrate your ability to collaborate effectively. Share examples of how you've worked with Data Scientists, Analysts, or UCD professionals in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates during the process!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Stack
Make sure you brush up on your PySpark skills and any other relevant technologies mentioned in the job description. Be ready to discuss your experience with ETL processes and how you've built data pipelines in the past.
✨Showcase Collaboration Skills
Since you'll be working in an Agile, multidisciplinary team, highlight your experience collaborating with Data Scientists and Analysts. Prepare examples of how you've successfully worked in teams to deliver high-quality data products.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think about scenarios where you've had to ensure data quality or troubleshoot issues in your pipelines. Be ready to explain your thought process and the steps you took.
✨Understand the Bigger Picture
Familiarise yourself with the healthcare data landscape, especially if you have experience with NHS datasets. Showing that you understand the impact of your work on decision-making can set you apart from other candidates.
