Overview

Data Engineer role based in London with a very attractive hybrid working arrangement. This is 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.

Job details

• Seniority level: Mid-Senior level
• Employment type: Temporary
• Industries: Telecommunications