Senior Data Engineer (Python / Apache Spark / Azure)
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management
Our requirements
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Optional
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes