Data Engineer in Newcastle upon Tyne

Data Engineer in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Sanderson Government & Defence

At a Glance

  • Tasks: Build and optimise scalable data pipelines using Java, Python, and modern tools.
  • Company: Join a forward-thinking consulting client focused on enhancing their Data capabilities.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Diverse and inclusive workplace with a commitment to equality and support.
  • Why this job: Make an impact by developing real-time data solutions in a dynamic environment.
  • Qualifications: Experience in data pipeline development and strong programming skills in Java or Python.

The predicted salary is between 60000 - 80000 £ per year.

Sanderson are working with a consulting client who are looking to grow their Data capability.

The client is seeking candidates who have experience with pipeline development, architecture and deployment.

Key Responsibilities

  • Data Pipeline Development
  • Build, optimize, and maintain scalable data pipelines using Java, plus exposure to Python, Flink, Kafka, or Spark.
  • Develop and support real‑time streaming pipelines and event‑driven integrations.
  • Integrate data from multiple sources using AWS managed services
  • Data Architecture & Standards
  • Contribute to data modelling, data architecture best practices, and modern patterns
  • Ensure data quality, lineage, governance, and security controls are applied consistently.
  • Dev Ops & Deployment
  • Deploy and maintain data applications using CI/CD tooling
  • Use Infrastructure as Code to manage cloud environments.
  • Work with container technologies
  • Core Data Engineering
  • Strong programming proficiency in Java or Python.
  • Hands‑on experience with at least one of: Kafka, Flink, Spark
  • Solid understanding of stream processing concepts
  • Understanding of software engineering best practices: testing, design patterns, CI/CD, Git.
  • Experience building ETL/ELT or streaming data pipelines.
  • Exposure to microservices and distributed system concepts.
  • Experience working with cloud platforms
  • Understanding of distributed compute, large‑scale data systems, and performance considerations.
  • Dev Ops & Engineering Practices
  • Experience with CI/CD tools
  • Infrastructure‑as‑Code
  • Experience with containerisation and orchestration platforms

This role will require you to be willing and eligible to undergo UK security clearance.

If you're interested in the above, apply or reach out to steven. mitchell@sandersonplc. com.

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.

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Data Engineer in Newcastle upon Tyne employer: Sanderson Government & Defence

As a PAM Consultant with our esteemed consulting client, you will thrive in a dynamic work culture that prioritises innovation and collaboration. The company offers robust employee growth opportunities, including continuous training in cutting-edge security practices, while fostering a diverse and inclusive environment that values every individual's contribution. Located in the UK, this role not only provides competitive benefits but also the chance to make a meaningful impact on clients' security postures through your expertise in Privileged Access Management.

Sanderson Government & Defence

Contact Details:

Sanderson Government & Defence Recruitment Team

We think you need these skills to ace Data Engineer in Newcastle upon Tyne

Data Pipeline Development
Java
Python
Flink
Kafka
Spark
Real-time Streaming Pipelines