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:

• 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.

We are an equal opportunities employer and welcome applications from all qualified candidates.