At a Glance
- Tasks: Design and scale robust data pipelines in a modern, cloud-first environment.
- Company: A growing financial services organisation investing in data and AI.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Fast-paced environment with opportunities to collaborate with both tech and business teams.
- Why this job: Join a dynamic team and shape the future of data in finance.
- Qualifications: Experience as a Data Engineer with skills in Python, SQL, and cloud platforms.
The predicted salary is between 50000 - 65000 £ per year.
Location: London (Hybrid)
Contract: 6 months (likelihood of extension)
We’re working with a growing financial services organisation investing heavily in its data platform and AI capabilities. They’re building out a modern, cloud-first data environment and need an experienced Data Engineer to help design and scale robust data pipelines.
What we're looking for:
- Strong experience as a Data Engineer in production environments
- Experience building cloud-based data platforms
- Ability to work in fast-paced, delivery-focused teams
- Strong communication - able to work with both technical & business stakeholders
- Python / SQL
- Snowflake or Databricks
- Airflow / dbt
- APIs / data integration tools
If you’re available (or becoming available) and this aligns with what you’re looking for - feel free to apply.
Data Engineer employer: Coyle Tech
Join a dynamic financial services organisation in London that prioritises innovation and employee development. With a strong focus on building a modern, cloud-first data environment, you'll have the opportunity to work alongside talented professionals in a collaborative and fast-paced setting, while enjoying the benefits of a hybrid work model and potential for contract extension.
