Data Engineer

Graduate Data Engineer London (2 days in office, hybrid) | Full-time | 0–2 Years’ Experience Are you an aspiring Data Engineer eager to turn raw financial data into clean, structured, and scalable systems? We’re looking for a curious and motivated Graduate Data Engineer to join a hybrid-working team building cutting-edge data infrastructure for the financial sector. You’ll spend 2 days a week in the office working directly with the Senior Data Engineer , and the rest working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms diverse datasets into actionable insights — learning how to design ETL pipelines, manage cloud-based data systems, and deploy solutions that scale. In this role, you’ll help build, test, and maintain the pipelines and systems that power real-world applications. From data ingestion and transformation to monitoring and optimisation, you’ll gain hands-on experience across the full data engineering lifecycle — while contributing to a product used by clients in the financial industry. What’s in it for you? Data That Matters – Work on pipelines and systems that turn complex financial data into structured insights. ⚙ Hands-On Engineering Experience – Learn the full data workflow — from ingestion to cloud deployment and monitoring in production. Mentorship & Growth – Work directly with a Senior Data Engineer who will guide your technical and career development. Collaborative Environment – Partner with engineers, data scientists, and domain experts to solve real-world challenges. Hybrid Flexibility – Work remotely while spending 2 days per week in the office for collaboration and learning. What We’re Looking For: 0–2 years of experience in data engineering, analytics, or software development (internships and projects count!). Solid Python and SQL skills. Familiarity with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.) . Understanding of ETL/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and grow. Nice to Have: Exposure to data pipeline tools (e.g. Apache Airflow, dbt). Experience with containerisation tools like Docker. Familiarity with version control and CI/CD practices. Knowledge of BI tools (Looker, Tableau, or similar). If you’re excited to grow your career in data engineering and want to build scalable systems entirely on Google Cloud — we’d love to hear from you. Apply now and start your journey as a Graduate Data Engineer.

Location: City of London, London, GB

Posted Date: 10/26/2025