Data Platform Engineer (Azure AI)/Data Engineer with Azure/Azure Data Platform Engineer/Senior Azure
Data Platform Engineer (Azure AI)/Data Engineer with Azure/Azure Data Platform Engineer/Senior Azure
Posted today
SENIORITY
Lead
About the role
- SkillsAzure Databricks, Spark/PySparkAzure Synapse, Azure Data FactoryADLS Gen2, Delta Lake, Lakehouse Architecture
- Azure SQL, Cosmos DB, KustoETL/ELT, Data Modeling, Data WarehousingC#, .NET Core, REST APIs, Microservices
- Azure Functions, Event Hubs, Service BusMicrosoft Azure, Azure DevOps, CI/CDDocker, Kubernetes (AKS)
- Build scalable Azure data platforms and ETL/ELT pipelines.
- Develop data solutions using Databricks, Spark, Synapse, and ADF.Design REST APIs and backend services using C#/.NET.Implement microservices, event-driven architectures, and cloud integrations.
- Modernize legacy data platforms and support cloud migrations.
- Maintain CI/CD pipelines, monitoring, security, and production operations.
- PreferredAI/ML or AI-enabled analytics experience
- Power BIReact/Angular
- GraphQLInfrastructure as Code (IaC)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.