We are seeking a highly skilled Senior Data Engineer to architect, build, secure, and optimize end-to-end data pipelines and enterprise-grade data platforms. The ideal candidate brings deep expertise in Python, Snowflake, modern cloud ecosystems, data warehousing design, and DevSecOps-led automation.
You will mentor junior engineers, drive technical decision-making, and lead solutions that improve data quality, performance, and reliability across the organization.
Roles and Responsibilities
- Design and optimize scalable ELT/ETL pipelines using Python and SQL.
- Build real-time, near-real-time, and batch data frameworks.
- Implement CDC, SCD, incremental loads, schema evolution, and orchestration best practices.
- Manage Snowflake environments including warehouses, databases, schemas, RBAC, and resource monitors.
- Develop event-driven workflows using Snowflake Tasks, Streams, and Snowpipe.
- Optimize performance and cost through clustering, caching, micro-partitioning, and warehouse sizing.
- Build and maintain cloud-native data solutions using Azure Blob Storage, ADLS, Functions, ADF, and Purview.
- Design Data Warehouses, Data Marts, and Semantic Layers.
- Implement Kimball, Data Vault, and modern ELT design patterns.
- Collaborate with BI and ML teams to operationalize analytics solutions.
- Implement CI/CD pipelines using GitHub Actions, Azure DevOps, or GitLab CI.
- Enforce DevSecOps practices including secret scanning, dependency scanning, IaC security, and policy-as-code.
- Build and manage infrastructure using Terraform, Azure Bicep, or CloudFormation.
- Implement data testing, schema validation, and contract enforcement.
- Leverage pytest, Great Expectations, dbt tests, and automated profiling.
- Develop data quality dashboards, lineage tracking, and SLA monitoring.
- Lead design reviews, code reviews, and platform roadmap discussions.
- Mentor engineers and drive engineering best practices.
- Partner with Product, Data Science, and Business teams to deliver data-driven solutions.
Qualifications
- 7+ 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.
- Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
- Recharge and revitalize with help of wellness plans made for you and your family.
- Plan your future with financial wellness tools.
- Stay relevant and upskill yourself with career development opportunities.
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
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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
