Data Engineer | National Security (Databricks, Power BI)

Switch Tech Talent Limited; Newcastle upon Tyne; Presencial; GBP 60.000 - 90.000; Jornada completa

Descripción de la vacante

Switch Tech Talent Limited is seeking a Data Engineer to work across data engineering, science, ML and AI. The team values engineers who can solve difficult problems and communicate well in demanding environments.

Ideal candidates have Python, SQL, and data pipelines experience, plus familiarity with Spark, Databricks, or Airflow, and hold a 2:1 or higher in a STEM degree from a leading university.

Formación

• Experience with Python, SQL, data pipelines and data-intensive systems.

Conocimientos

Python

SQL

Data pipelines

Data-intensive systems

Problem solving

Educación

2:1 STEM degree

Herramientas

Spark

Databricks

Airflow

Descripción del empleo

As the Data Engineer, you will work across Data Engineering, Science, ML and AI. They’re particularly interested in defence-adjacent Data Engineers with Databricks or Power BI experience, but not a deal breaker.

Rather than hiring for a single technology stack or narrow role, they’re assembling a team of exceptionally smart engineers, data specialists and technical leaders who can solve difficult problems, communicate well, and thrive in highly demanding environments.

Specialisms you could work across as the Data Engineer:

• On-prem and policy compliant solutions
• Satellite systems
• AI safety and security

They’re hiring for, and value, Data Engineers who:

• Enjoy working on challenging systems
• Truly understand problem-solving, from first principles
• Are adaptable and articulate
• Experience with Python, SQL, data pipelines and data-intensive systems.
• Experience with distributed processing and workflow orchestration, with tools such as Spark, Databricks, or Airflow.
• A practical understanding of how systems work, including data quality, performance, reliability and technical trade-offs.
• Clear communication, a collaborative approach and the ability to take ownership of unfamiliar problems.
• A 2:1 or above in a STEM subject from a leading university.