Senior Data Engineer
Role details
Job location
Tech stack
Job description
- You are not joining an existing platform, you are building it
- You will be part of our brand new platform and data team!
- Real ownership and influence over architecture and technical direction
- Work on systems that operate at meaningful scale (TB of data)
- Strong technical challenges with minimal bureaucracy
- A team that values clean design, pragmatism, and getting things right
Requirements
Do you have experience in Spark?, * 5+ years of experience as a Data Engineer or similar role
- Strong experience building data platforms in cloud environments (Azure preferred)
- Hands on experience with:
- SQL and data modeling
- Python in the context of data pipelines
- Creating batch and streaming data pipelines (Spark, Databricks, and Snowflake are great, but we look for more customized pipelines)
- Infrastructure as Code (our stack: Pulumi, Kubernetes, ArgoCD)
- Solid understanding of data reliability, monitoring, and performance at scale
- Comfortable working in a production environment with real business impact
Nice to have
- Experience designing platforms from scratch
- Familiarity with event driven or streaming architectures
- Experience with analytics tooling and downstream consumers
- Exposure to high volume, high throughput data systems
- Experience setting up MLOps and LLMOps; building genAI pipelines.
Benefits & conditions
Are you excited by hard technical problems? Do you enjoy building systems that are designed to scale, not patched to survive? Do you like owning big pieces of architecture and seeing them come to life in production?
At px.com , we're building a new data platform from the ground up. Not refactoring legacy pipelines. We're not just "modernizing" for the sake of it. We're rebuilding the foundation while improving what already exists, refactoring dashboards and transformations as we go.
If you enjoy making foundational decisions, working close to real business problems, and building data systems that actually matter, we'd love to talk.
What you'll do
- Design and build a modern, scalable data platform on Azure
- Own the end to end data lifecycle: ingestion, transformation, storage, and serving
- Build reliable, observable, and maintainable data pipelines
- Work closely with product, analytics, and engineering to turn raw data into trusted datasets
- Make architectural decisions that will shape the platform for years to come
- Help define best practices around data quality, performance, and cost efficiency
