Data Engineer

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

About the Opportunity

We're partnering with a rapidly growing, high-performance technology and data consultancy. This organisation specialises in building cutting-edge data platforms and delivering advanced analytics solutions to solve complex, real-world business problems. With a strong emphasis on collaboration, innovation and ownership, they offer a fast-paced environment where talented engineers can make a meaningful impact from day one.

The Role

We're seeking an experienced Data Engineer to join a high-performing Data Analytics team. You'll play a key role in designing and maintaining data pipelines and ensuring the reliability and integrity of a central data platform that supports critical business and investment processes.

Key Responsibilities

• Design, build, and optimise data pipelines to ingest and process data from a variety of internal and external sources
• Develop and enhance scalable data platforms, ensuring they meet evolving business and technical requirements
• Monitor, maintain and improve data systems to ensure high levels of performance, reliability and data quality
• Implement robust testing and validation processes to support accurate and consistent data delivery
• Work closely with cross-functional teams to understand data needs and deliver solutions that support business objectives

What They're Looking For

• Strong experience designing and building scalable data pipelines
• Proficiency in SQL, Python, Databricks or Azure
• Experience with tools such as Git and Airflow
• Proven ability to test, troubleshoot and improve data platforms
• Experience delivering high-quality, reliable data solutions
• Strong communication skills and ability to work in collaborative environments

Why Apply?

• Work on impactful, real-world data challenges
• Collaborate with highly skilled technical professionals
• Exposure to projects aligned with global markets and economic trends
• Strong learning environment with opportunities to expand your technical skillset
• High-autonomy culture