Data Engineer

AXA UK plc; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance firm in London seeks a Data Engineer to design and optimize data pipelines for multiple business use cases. The ideal candidate will have experience with large-scale data infrastructure, particularly in Python and SQL, along with cloud platforms like Azure or AWS. This role encourages flexible working and is focused on transforming data into actionable insights.

Benefits

Flexible working arrangements

Professional development opportunities

Diversity and inclusion initiatives

Qualifications

• Previous experience as a Data Engineer with large-scale data infrastructure.
• Hands-on experience with Databricks and managing data pipelines.
• Understanding of data security and governance principles.

Responsibilities

• Build, maintain, and optimize scalable data pipelines.
• Collaborate with data scientists and analysts to prepare data.
• Automate data processes to improve efficiency.

Skills

Python

SQL

Data Pipeline Management

Collaboration

Tools

Databricks

Cloud Platforms (Azure, AWS, GCP)

Job description

Join our dynamic Commercial Data Team as a Data Engineer, where you will play a pivotal role in designing, developing, and optimizing data pipelines into our data lake. In this position, you will ensure scalability while supporting multiple business use cases, ultimately delivering significant value to our organization. If you are passionate about transforming data into actionable insights and thrive in a collaborative environment, we would love to hear from you.

AXA Commercial has a transformational opportunity to revolutionize its business and operations through strategic use of data, analytics, and artificial intelligence, supported by a robust and scalable architecture and infrastructure. We aim to harness data to unlock value across our business, enabling faster and better-informed decision-making through automation and advanced analytics.

At AXA, we promote flexible working, with at least two days a week (40%) working away from home, increasing to three days (60%) towards the end of 2025. "Away from home" includes office visits, client meetings, or industry events.

What you'll be doing:

1. Build, maintain, and optimize scalable data pipelines for various data types and sources.
2. Perform data engineering tasks to meet business demands, refining technical features as needed.
3. Participate in code reviews, ensuring high-quality code and adherence to best practices.
4. Implement and enforce best practices for data ingestion, transformation, and processing.
5. Collaborate with data scientists and analysts to prepare data for analytics, machine learning, and reporting.
6. Automate data processes to reduce manual interventions and improve efficiency.
7. Troubleshoot and resolve issues in data pipelines to minimize operational disruptions.
8. Mentor junior engineers, providing guidance and fostering collaboration.

We value and appreciate our employees and offer benefits to support their professional and personal growth. We are committed to diversity, inclusion, and equal opportunity employment, actively encouraging applications from all backgrounds. AXA UK is recognized as a Disability Confident Leader and participates in the 'Offer of Interview' scheme, ensuring fair consideration for candidates with disabilities or long-term health conditions.

Applicants must meet the essential criteria outlined in the job advert and be eligible to work in the UK. We adhere to pre-employment checks and conduct background screening as part of our hiring process.

Qualifications and experience:

• Previous experience as a Data Engineer with large-scale data infrastructure.
• Proficiency in Python and SQL, with practical application in data engineering.
• Hands-on experience with Databricks and managing data pipelines.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of working with structured, semi-structured, and unstructured data.
• Experience with CI/CD pipelines for automating testing and deployment.
• Understanding of data security and governance principles.
• Ability to mentor, lead projects, and communicate technical concepts effectively.

Applicants must be authorized to work in the UK and meet the necessary eligibility criteria.