Senior Software Engineer - Python with Snowflake

Our Technology teams are working on our new validation platform. Our clients around the world rely on data and insights to innovate and grow.
As a Senior Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Snowflake Tasks, Streams, Pipes (Snowpipe), External Tables, components: Azure: Blob Storage, ADLS, Functions, ADF, Purview
Roles and Responsibilities
Data Engineering & Pipelines
Design, develop, and optimize scalable ELT/ETL pipelines using Python and SQL.
Build real-time, near-real-time, and batch frameworks using cloud-native services.
Implement incremental loads, CDC, SCD, schema evolution, and orchestration best practices.
Snowflake Engineering
Architect and manage Snowflake environments: warehouses, databases, schemas, resource monitors, RBAC, zero-copy clones, clusters, micro partition.
Implement Snowflake Tasks, Streams, Pipes (Snowpipe), External Tables for event-driven data workflows.
Optimize compute cost and query performance using clustering, micro-partitioning, caching, and warehouse sizing.
Cloud Engineering - Azure
Build and maintain solutions using cloud-native compute/storage components:
Azure: Blob Storage, ADLS, Functions, ADF, Purview
Data Warehousing & Modeling
Design enterprise-grade Data Warehouses, Data Marts, and Semantic Layers.
Implement Kimball, Data Vault, and modern ELT-first design patterns.
Work closely with BI/ML teams to operationalize features and analytics models.
AI engineering
Design, develop, and deploy AI and Generative AI solutions aligned with business requirements.
DevSecOps & Platform Engineering
Implement CI/CD pipelines for data engineering code (GitHub Actions / Azure DevOps / GitLab CI).
Enforce DevSecOps practices:
secret scanning
IaC security gates
dependency scanning
policy-as-code (OPA/Conftest)
Build infrastructure using Terraform / Azure Bicep / CloudFormation.
Automated Testing & Data Quality
Implement data unit testing, schema validation, and contract enforcement:
pytest
Great Expectations/dbt tests
automated data profiling
Build automated quality dashboards, lineage, and SLA monitoring.
Leadership & Collaboration
Lead design reviews, code reviews, and data platform roadmap discussions.
Mentor junior engineers and enforce engineering excellence.
Partner with Product, Data Science, and Business teams to deliver data-driven solutions.

Employment type
Full-time

Work arrangement
No