Data Engineer

We are seeking a skilled 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.