This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.

All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.

How does this role contribute to our collective success?

We are seeking a skilled Data Engineer to join our dynamic Data Analytics team, within the Platforms Transformation group. The Data Engineer will use their technical, analytical and insurance expertise while working as part of project teams to deliver the benefits to AXIS. This is an excellent opportunity to work within great teams across the business on complex, challenging and rewarding projects and initiatives to build towards the success of AXIS.

What will you do in this role?

Data Analysis Modelling:

Work with the business teams, including senior leaders, to define the data products and use cases along with their data lineage, critical data elements, data glossaries and data quality rules.

Work with the Data Architecture team to enable the design of best-in-class current state and future state data flow diagrams

Partner with the Data Insights and AI Innovation teams to design the outputs and workflows for Use Cases and Data Products.

Use your industry experience to define the metrics required for projects and solutions.

Lead the QA testing of data products and supporting the business teams during UAT.

Support the future phases of data products you have delivered in projects once live where you are considered a subject matter expert and have a relationship with the business teams.

Data Engineering:

Run simple and complex queries to understand existing data structures and relationships, data quality gaps and metric formulas to enable accurate documentation of the current state solutions.

Use your advanced Excel skills to reverse engineer complex workbooks with macros and layered formulas to enable modular redesign in our modern data architecture .

Build and execute test models against both on-premise SQL Server and Azure Databricks databases.

Work closely with the development teams to ensure your data product templates are clearly defined to the specifications required by the application delivery leads.

You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.

About You:

We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.

What you need to have:

Very strong SQL and Excel experience

Ability to read programming languages preferred

Design experience with star schemas and delta concepts

Experience in data modelling in Excel having worked within Data Governance and Data Quality frameworks

Strong problem-solving skills with a proactive approach to understanding data quality issues and challenges

Experience with large complex projects delivering data products and use cases

Excellent verbal and written communication skills.

Ability to work effectively in a collaborative team environment.

Ability to time manage and work across different priorities.

Insurance industry experience.

What we prefer you to have:

Qualifications:

Education: Bachelor’s degree in computer science, Information Technology, or a related technical field (or equivalent work experience).

4+ years of experience as a Data Engineer or in a similar data-focused role.

Microsoft SQL Server and Azure Databricks experience preferred

Knowledge of Insurance KPIs and metrics and processing within Underwriting, Claims and Pricing

Experience taking a key role on Data Analytics projects

Role Factors:

In this role, you will typically be required to:

This position is a hybrid role and will require mandatory in office presence.

What we offer:

You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.