Data Engineer: Build Scalable Pipelines & Platforms

Cyber Security training courses; United Kingdom; Remote; GBP 65,000 - 95,000; Full time

Job summary

Data Engineer role focusing on building and maintaining robust data pipelines and central data platforms. You will design, implement, and optimise data flows from multiple sources while ensuring data quality and reliability across analytics and business processes.

You will work with SQL, Python and modern data tooling (Databricks or Azure) and participate in testing, monitoring and governance to deliver high-quality data solutions in a collaborative, fast-paced environment.

Qualifications

• Proven experience designing and building scalable data pipelines.
• Strong SQL and Python coding skills.
• Experience with Databricks or Azure data platforms.
• Familiarity with version control and workflow orchestration tools (Git, Airflow).

Responsibilities

• Design, build, and optimise data pipelines from various sources.
• Develop and enhance scalable data platforms to meet evolving requirements.
• Monitor and improve data systems for performance, reliability and quality.
• Implement testing and validation to ensure accurate data delivery.
• Collaborate with cross-functional teams to understand data needs.

Skills

Data pipelines

SQL

Python

Databricks

Azure

Airflow

Data testing

Communication

Tools

Git

Airflow

Job description

Data Engineer role focusing on building and maintaining robust data pipelines and central data platforms. You will design, implement, and optimise data flows from multiple sources while ensuring data quality and reliability across analytics and business processes.

You will work with SQL, Python and modern data tooling (Databricks or Azure) and participate in testing, monitoring and governance to deliver high-quality data solutions in a collaborative, fast-paced environment.