Associate Data Engineer

About Hiscox

Hiscox is a member of the Hiscox US IT Team Data Engineering practice.

Job Summary

You will be a member of our US Data Engineering practice. You will be joining an exciting team and working on a modern cloud data platform that has been built the right way. In this early career role, you will be constantly learning, honing your craft and bringing fresh thinking to our team.

Key Responsibilities

• Working with business stakeholders and our delivery team to understand high value business problems that can be solved through the application of data processing and analytical systems.
• Developing, expanding and evolving our data platform and transformation pipelines.
• Understand business requirements and help refine into development tasks and estimate their complexity.
• Research, evaluate and adopt new technologies with a right tool for the job mentality.
• Focus on both speed of delivery and quality, ensuring your solutions are always appropriate and not too complex or over-engineered.
• Quick progression of projects from proof-of-concept to post-production stage.
• Communication and presentation of ideas to colleagues in all parts of the wider tech team.
• Participating in code reviews for the data engineering practice.
• Adopting a growth mindset to continuously improve your skills and finding the right niche in our team to get the most from your aptitude and enthusiasm.

Requirements

• Knowledge of, or ability to rapidly adopt our core languages for data engineering – SQL and/or Python.
• Experience working using a modern DevOps approach.
• A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data and data quality.
• Ability to contribute to all aspects of a solution – design, infrastructure, development, testing and maintenance.
• The ability to design and advocate for technical solutions to business problems.
• Effective collaboration with technical and non-technical team members through agile ceremonies – roadmap planning, feature workshops, backlog elaboration, code review.
• An understanding of cloud technology and how to build cloud-native solutions.
• Track record of taking initiative and delivering projects end-to-end; clear evidence of being self-driven and motivated.
• Immense curiosity, high energy and desire to go the extra mile to make a difference.

Desirable Skills

• Experience with additional technologies, data science knowledge or a business background are all valued.