We are seeking an experienced Data Engineer to design, build, and maintain data pipelines and solutions that capture, manage, and transform structured and unstructured data from multiple sources.

You’ll play a key role in delivering reliable, scalable, and real-time data tools that support internal teams, partners, and customers.

Based in London with a very attractive hybrid working arrangement, this will be a 12-month contract (extension likely).

The rate is negotiable dependant on experience (inside IR35).

What you’ll do:

- Build and optimise data pipelines, integrating multiple data sources into cloud and database storage solutions.
- Develop automated processes to cleanse, organise, and transform big data while maintaining accuracy and integrity.
- Collaborate with data engineers, software engineers, and data scientists to deliver functional, scalable, and reliable solutions.
- Resolve complex technical issues and document processes clearly.

What you’ll need:

- 5+ years’ professional experience in Python (including data manipulation packages) and SQL.
- Strong understanding of Object-Oriented Programming (OOP) and familiarity with Airflow.
- Knowledge of the full Software Development Lifecycle.
- Excellent problem-solving skills, attention to detail, and ability to work independently.

What will help you succeed:

- Experience with big data frameworks (Spark, Hadoop, Kafka), cloud platforms (AWS, GCP), and data warehousing solutions (PostgreSQL, BigQuery).
- Familiarity with CI/CD pipelines, Docker/Kubernetes, Git, and Linux scripting.
- Strong communication skills and a collaborative mindset, with the ability to mentor team members.
- Background in aviation connectivity or telecommunications is a plus.

If you’re passionate about building innovative data solutions and enjoy working with complex systems at scale, we’d love to hear from you.

RW