Software Engineer (python,Django,Pandas/ Polars)

Technical Requirements, must-have: 1. Python in production Idiomatic Python — packages and modules, type hints, exception handling, dependency and virtual-environment management. You can read an unfamiliar codebase and change it safely. 2. Django Models, migrations, querysets, the admin, middleware, settings across environments. You understand the ORM well enough to know when it will generate a bad query. 3. Django REST Framework Serializers, viewsets, permissions, authentication, pagination, versioned endpoints, and a clean OpenAPI/Swagger contract. 4. PostgreSQL and SQL Schema design, migrations, indexing, reading query plans, transaction behaviour, and writing non-trivial SQL by hand. You can tell whether a query will hold up under load. 5. Message queue / task queue Experience with an asynchronous task or message queue — Celery with Redis or RabbitMQ, RQ, or equivalent. Queues and workers, scheduling, retries with backoff and failure handling, and debugging a job that silently never ran. You know why a task must be safe to execute twice. 6. Redis Working knowledge as a broker/result backend and cache: keys and expiry, data structures, connection and memory behaviour, and what happens when it fills up or restarts. 7. pandas or polars Loading and transforming tabular data from CSV, Excel, JSON and Parquet. Comfortable with joins, reshaping, dtypes, null handling, and tracing a bad value from source file to database record. 8. Google Cloud Platform (or an equivalent cloud platform like Azure, AWS) Cloud Run or equivalent compute, Cloud SQL, Cloud Storage, Secret Manager, and enough IAM literacy to not over-grant. You can deploy, read the logs, and find out why a job failed. Nice-to-have, not screening criteria — any of these is a plus, none is required: - Docker and Docker Compose - CI/CD pipelines and multi-environment promotion (dev / pre-prod / prod) - Flask, FastAPI, or another Python web framework - Rust or another systems language - MongoDB or other document stores - pytest, fixtures, mocking external calls - Structured logging, tracing, metrics, and on-call experience - Third-party API integrations: HTTP clients, retries, rate limits, OAuth2 - Django Admin customisation or frontend work - AI-assisted engineering tooling and agent workflows

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