Principal Data Engineer – Data & AI
London | Hybrid | Full-Time
3 days a week Onsite
£110,000-£140,000
Work where work matters.
Join a global technology consultancy delivering high-impact data and AI solutions for brands like Google, PayPal, Diageo and JLR. This is not routine delivery — it's complex, high-stakes work where the solution has to work.
We're hiring Data Engineers to design and build scalable data platforms that power real business outcomes.
The Role
You'll design, build and maintain robust data pipelines and infrastructure for large, complex datasets in cloud environments. Expect a mix of hands-on engineering, client collaboration, and technical decision-making.
What You'll Do
• Build and maintain GCP-based data pipelines (ETL, ingestion, storage)
• Ensure data quality, governance and reliability
• Develop data models for analytics & reporting
• Optimise performance and scalability
• Collaborate with analysts, scientists and client stakeholders
• Mentor junior engineers
What We're Looking For
• Strong cloud experience (GCP, AWS or Azure)
• Advanced SQL + relational databases
• Big data tools (Spark, Hadoop, Hive)
• Airflow / BigQuery / Redshift experience
• Python + another language (Java/Scala)
• Strong stakeholder communication skills
Benefits Snapshot
• Competitive salary + bonus
• 36 days leave + birthday off
• Private medical, dental & optical
• 10 paid learning days yearly
• Certifications funded
• Flexible working + 3 weeks "work from anywhere"
• 5% pension match
• Market-leading parental leave
• Sabbatical options
If you're a Senior Data Engineer who enjoys solving difficult problems and working on meaningful, high-impact projects — this is worth a conversation.