At a Glance
- Tasks: Design and build scalable data pipelines using modern cloud technologies.
- Company: Join a growing tech team in Newcastle with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture welcoming diverse backgrounds and perspectives.
- Why this job: Work on complex data projects that make a real impact in analytics and AI.
- Qualifications: 3+ years in Data Engineering with strong Java or Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: Newcastle
Working pattern: Hybrid (3 days per week onsite)
Please note: This role requires eligibility for BPSS and SC Security Clearance, including 5 years' continuous UK residency.
The Role
We're looking for a Data Engineer to join a growing technology team delivering cloud and data solutions across a range of complex projects. You'll design and build scalable data pipelines, work with modern cloud technologies, and collaborate with engineers, analysts and product teams to deliver high-quality data solutions that support analytics and AI.
Key Responsibilities
- Design, build and maintain scalable data pipelines
- Develop real-time and batch data processing solutions
- Work with AWS cloud services and modern data technologies
- Support CI/CD pipelines and Infrastructure as Code
- Collaborate within Agile teams and contribute to engineering best practices
Skills & Experience
- 3+ years' commercial experience in Data Engineering
- Strong Java or Python development skills
- Experience with Kafka, Flink or Spark
- Experience building ETL/ELT or streaming data pipelines
- Knowledge of AWS (Azure or GCP also considered)
- Experience with Docker, Kubernetes and CI/CD tools
- Familiarity with Infrastructure as Code, ideally Terraform
Desirable
- Experience with Databricks, Snowflake or BigQuery
- Cloud certifications (AWS, Azure or GCP)
- Experience mentoring junior engineers or working in a consulting environment
This is an excellent opportunity to work on complex, large-scale data projects using modern cloud technologies while continuing to develop your technical skills within a collaborative engineering team.
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 in London employer: Sanderson Government and Defence
Join a forward-thinking organisation that values user-centred design and offers a collaborative work environment in the heart of London. With a strong commitment to diversity and inclusion, we provide our employees with opportunities for professional growth while working on impactful government projects that shape digital services. Enjoy a flexible working model that balances on-site collaboration with remote work, ensuring a rewarding and meaningful career path.
Contact Details:
Sanderson Government and Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
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We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
