Data Engineer

3 weeks ago

Halifax, Canada AXIS Insurance Full time
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.

About AXIS

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?

Data and analytics are of critical importance for AXIS. Simply put, we want to turn data into information, that can be used to:

  1. Enable decisions to be made with confidence, based on information not just intuition.
  2. Be more proactive, using information to identify new opportunities, and getting to them before our competitors.
  3. Realize cost savings, finding ways to make processes more efficient, enabling our people to focus on using their skills to further add business value.
Responsibilities

The recently formed Architecture team are responsible for building out the designs and patterns, and the policies and frameworks to enable us to maximize the value of our data. Enabling us to:

  1. Design and enforce what and how data is captured in front end systems based on the outcomes it needs to deliver.
  2. Design how data is structured and stored to deliver required business outcomes.
  3. Develop and embed the policies that ensure that data is treated and interpreted consistently across the business.
  4. Scale data quality across the organization, defining quality criteria for data at the point it enters the organization, monitoring quality and remediating issues.
What will you do in this role?
  1. Proactively design the AXIS data estate and accompanying frameworks and standards that will enable us to best use our data to maximize profit for the organization.
  2. Work with technical and non-technical stakeholders to translate business outcomes into designs and patterns that can be executed by the developers and other technical experts that will then go forth and build them. Being the translation point throughout delivery to ensure that solutions are built in the optimum way, with minimum technical debt.
  3. Build out policies and frameworks to accompany all data architecture working practices that will enable work to be approached in a consistent way, resulting in consistent and scalable solutions.
  4. Work with stakeholders to draw out conceptual and logical data models to describe the key concepts in the AXIS data estate. Ensure that these models are then utilized in the implementation of new systems and data repositories.
  5. Support stakeholders in bringing solution designs through governance forums within D&A and wider architectural review boards.
  6. Contribute to the build and maintenance of a central data governance and data quality solution.
  7. Contribute to the build and maintenance of the master and reference data management strategy and approach, work with the business and the supporting BTS functions to implement this across the organization in a consistent, scalable way.
  8. Possess in-depth knowledge of data architecture practices and serve as a technical expert in the field.
  9. Proactively engage with, and understand, the group strategy and provide input/ideas for improvements to the AXIS data strategy to promote alignment with business goals.
  10. Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
  11. Evaluate and recommend emerging technologies for data management, storage, and analytics.

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

This role reports into the Head of Data Architecture.

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:
  1. At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives.
  2. Experience leading projects involving data warehousing, data modeling, and data analysis.
  3. Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.
  4. Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture.
  5. Exceptional communication skills – a key part of this role will be working collaboratively with business stakeholders, with the technology organization, and with the wider Data and Analytics group.
  6. Data architecture and data modeling knowledge and experience required.
  7. Ability to prioritize effectively, adapt as necessary based on business priorities, re-factor plans as required by changing priorities and communicate impact of changes to key stakeholders.
  8. Strong oral and written communication skills and proven ability to win confidence of business partners and influence outcomes.
  9. Strong ability to work with technical teams and multiple work streams with dynamic priorities.
What we prefer you to have:
  1. Strong knowledge of insurance industry data and information needs of the underwriting function within (Re) Insurance. Experience in UK, Bermuda and US markets would be beneficial.
  2. Databricks experience is a plus.
  3. Technical knowledge around technology and tools used in support of data architecture and data governance preferred.
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.

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