Senior Software Engineer - Python with Snowflake

NielsenIQ (NIQ) is a leader in data-driven solutions, partnering with the world’s largest brands to deliver insights that drive strategic decisions. With a global presence and deep expertise in analytics and technology, we ensure that companies stay ahead in a constantly changing marketplace. Our mission extends beyond understanding consumer behaviour; it also includes refining and optimizing our internal systems that support the NIQ company operations worldwide. 

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. 

6–10 years of professional experience in Data Engineering. 

Strong expertise in Python (pandas, asyncio, OOP, typing, packaging, pytest). 

Hands-on experience with Snowflake at enterprise scale. 

Advanced SQL skills—optimizing complex joins, window functions, CTEs, and performance tuning. 

Strong cloud background: AWS, Azure, or GCP. 

Deep understanding of data warehousing concepts:  dimensional modeling, star schemas, data marts, CDC/SCD, modeling for high-volume pipelines 

CI/CD experience with GitHub Actions/Azure DevOps/GitLab CI. 

Experience with IaC tools like Terraform/Bicep. 

Strong understanding of DevSecOps practices:  secrets management, IAM design, vulnerability scanning, zero trust principles 

Experience with orchestration tools (Airflow/ADF/Prefect/Step Functions). 

Excellent communication and stakeholder management skills. 

Experience with dbt (models, tests, exposures). 

Streaming platform experience (Kafka, Kinesis, Pub/Sub). 

Experience implementing OpenLineage, Marquez, or other lineage tools. 

Familiarity with Lakehouse architectures (Delta Lake, Iceberg, Hudi). 

Understanding of MLOps concepts and feature stores. 

Knowledge of cost governance and FinOps best practices. 

Prior leadership/mentorship experience. 

Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on:  LinkedIn  |  Instagram  |  Twitter  |  Facebook

Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the  https://nielseniq.com/global/en/news-center/diversity-inclusion