Staff Data Engineer

Confused.com

Confused.com, part of the RVU group, is a pioneering UK-based comparison platform for car insurance. Their mission is to simplify the comparison of financial products, helping customers make informed decisions and save money. With a focus on technology-driven solutions, they serve millions of users with agile delivery and cross-functional product teams.

In this role you can expect to have the responsibilities:

• Work with engineering teams to enhance the organisation's use of modern technology.
• Collaborate with cross-functional teams to bring ideas to life and drive technical vision.
• Exercise authority over technical strategies and implementation approaches.
• Utilize data to monitor and improve system performance.
• Contribute to a diverse engineering culture and participate in technical discussions.
• Identify improvement opportunities across the organization.
• Effectively manage time between team and organisational contributions.
• Rotate within the organization to build relationships and increase influence.

This role comes with the following benefits:

• Employer matching pension up to 7.5%
• Hybrid working approach with work-from-home budget
• Excellent parental leave policies
• Progressive holiday allowances
• Work from anywhere up to 30 days annually
• Learning and training budget
• Electric vehicles scheme
• Health insurance
• Access to wellness apps
• Regular social and professional events

This role requires you to have:

• Understanding of modern data architectures.
• Experience with data observability methods.
• Knowledge of modern software development practices.
• Experience applying DORA metrics to data products.
• Experience with domain-driven and event-driven design.
• Technical leadership and stakeholder relationship management.
• Designing and maintaining data pipelines.

You would benefit from having:

• Proficiency in SQL and Python.
• Experience with cloud environments.
• Experience with big data technologies like Spark and BigQuery.
• Familiarity with eventing technologies such as Kafka.

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