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.
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