Data Engineer

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 any protected characteristic including age color disability ethnicity gender identity marital status national origin pregnancy race religion sex sexual orientation veteran status or any basis prohibited by the laws that govern its operations.

How does this role contribute to our collective success

The Data & Analytics organization empowers AXIS to make informed datadriven decisions by delivering trusted scalable and wellgoverned data platforms.

As a Data Engineer you will work closely with the Solution Engineer and Data Architecture teams to design build and operate data integration and analytics solutions. You will play a key role in translating architectural designs and solution patterns into highquality productionready implementations.

This role contributes to AXISs success by strengthening delivery capacity improving platform reliability and ensuring data engineering best practices are consistently applied across squads while being supported by senior architectural leadership.

What will you do in this role

As a Data Engineer you will be a handson contributor and technical partner supporting solution design and architecture initiatives led by the Solution Engineer while owning implementation quality and operational excellence.

Key Responsibilities:

Data Integration & Ingestion

• Design and implement data integration solutions in collaboration with the Solution Engineer and data architects.

• Support ingestion transformation and orchestration using ADF Synapse pipelines Databricks Workflows and eventbased patterns.

• Implement batch incremental and eventdriven ingestion using agreed reference architectures.

• Maintain and extend data integration frameworks.

Data Modeling & Consumption

• Contribute to data modeling standards (Dimensional Data Vault Lakehouse).

• Implement analyticsready models and semantic layers for BI and ML.

• Apply agreed data contracts and integration patterns.

Governance Security & Compliance

• Implement data cataloging lineage and data quality controls.

• Apply RBAC ABAC encryption and auditability controls.

Performance & Operational Excellence

• Optimize Databricks performance cost and storage layout.

• Monitor and troubleshoot pipelines and workloads.

Platform Evolution & Collaboration

• Support platform modernization POCs and migrations.

• Contribute to engineering standards and participate in design reviews.

• Partner with offshore teams architects and business stakeholders.

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

About You

You are an experienced data engineer who enjoys working on complex platforms delivering highquality implementations while leveraging guidance from senior architectural leadership.

Role Factors:

The position is full-time with work-from-home options requiring in-office presence three (3) days per week

Required Skills & Experience

• Bachelors degree in Computer Science Information Technology or a numerate discipline.

• At least 5 years of experience in data engineering roles.

• At least 3 years of handson Databricks and Delta Lake experience.

• Strong Azure data platform expertise (Databricks ADF Synapse Event Hubs Functions ADLS Gen2 Key Vault DevOps).

• Proficiency in Spark PySpark and SQL.

• Experience implementing Medallion / Lakehouse architectures.

• Familiarity with data governance Unity Catalog and DQ frameworks.

• Understanding of security compliance CI/CD and IaC (Bicep/Terraform).

• MLOps and AI platform knowledge: MLflow feature stores model lifecycle and deployment patterns.

• Strong communication and collaboration skills.

Preferred Qualifications:

• Azure certifications (e.g. Azure Data Engineer Associate Azure Solutions Architect).

• Experience with Terraform ARM templates or Bicep for infrastructure automation.

• Experience with GenAI and using AI agents use of Copilot Claude or similar models for automation or process optimization to reduce day to day manual work.

• Experience integrating Azure Data Services with Power BI and AI/ML workflows.

What We Offer:

For this position we currently expect to offer a base salary in the range of $80000 - $100000 CAD (Nova Scotia) $90000 - $105000 USD (Alpharetta). Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location.

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.

Where this role is based in the United States of America this role isExemptfor FLSA purposes.

This posting is for an existing vacancy.