At a Glance
- Tasks: Build real-time data pipelines for fraud prevention and risk analytics.
- Company: Harvey Nash Group, a digital-first company in London or Manchester.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on improving data quality and deployment processes.
- Why this job: Make a real impact on security and fraud prevention across the UK and Europe.
- Qualifications: Experience in Python/SQL, PySpark/Pandas, and strong collaboration skills.
The predicted salary is between 60750 - 74250 £ per year.
Harvey Nash Group in London or Manchester is seeking a data engineer for a hybrid role within the Enterprise Security & Fraud team.
You will help build real-time data pipelines to support fraud prevention and risk analytics across the UK and Europe.
Join a digital-first environment where you’ll write quality Python/SQL code, work with Py Spark/Pandas, and collaborate with developers and product owners to improve data quality and deployment processes.
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Hybrid Senior Data Engineer - Real-Time Data & Security employer: Harvey Nash Group
Join a leading Financial Services firm in London that prioritises innovation and security, offering a dynamic work culture where your expertise in information security and IT risk management will be valued. With a strong commitment to employee development, you will have access to continuous learning opportunities and the chance to lead high-performing teams in a collaborative environment. Enjoy competitive benefits and the unique advantage of working in one of the world's financial capitals, where your contributions will make a significant impact.
