Data Engineer

We’re looking for a Data Engineer to build and operate modern data platforms on Azure Databricks.

You’ll work with a Senior Architect on solution design and own the implementation end-to-end—from ingestion and transformation to deployment, monitoring and production support. Alongside strong data engineering skills, you’ll also take ownership of the platform/DevOps aspects of the solution.

We’re building for an AI-native world, so we expect you to use AI coding agents, AI-assisted development, reusable skills/workflows and agentic automation to make engineering faster, smarter and more reliable.

What You'll Do

• Build scalable batch and real-time data pipelines using Databricks, PySpark, SQL and Delta Lake.
• Implement Medallion Architecture (Bronze/Silver/Gold) and governed data products using Unity Catalog.
• Build streaming solutions using Structured Streaming and Azure Event Hubs.
• Work with ADLS Gen2, Azure Key Vault and Azure DevOps.
• Own CI/CD, deployment automation, monitoring and production troubleshooting.
• Optimize data pipelines and Databricks workloads for performance, reliability and cost.
• Build analytical datasets and dashboards using BI/visualization tools.
• Develop data products that can support analytics, ML, GenAI and agentic applications.
• Leverage AI agents and AI-native developer tools for coding, testing, documentation, troubleshooting and automation.
• Collaborate with architects, analysts and business stakeholders to deliver production-ready solutions.

What We're Looking For

• 4-6 years of hands-on experience in Data Engineering / Data Platforms.
• Strong Python/PySpark and SQL skills.
• Strong hands-on experience with Azure Databricks, Delta Lake and Medallion Architecture.
• Experience with batch + real-time/streaming data engineering.
• Hands-on experience with Unity Catalog, Databricks Workflows/Jobs and Structured Streaming.
• Experience with ADLS Gen2, Event Hubs, Azure DevOps/Git and Key Vault.
• Good understanding of CI/CD, cloud security and production operations.
• Hands-on experience with a BI/dashboarding tool.
• Strong problem-solving and ownership mindset.
• Comfortable using AI coding assistants/agents and eager to adopt emerging AI-native engineering practices.

Good to Have

• Databricks or Azure certifications.
• Lakeflow/DLT, Terraform/IaC or Kafka.
• Experience with AWS/GCP and Databricks.
• Exposure to GenAI, RAG or agentic applications.
• Experience in Telecom, Media, Advertising/AdTech.

If you enjoy building production-grade data platforms - and using AI to fundamentally improve how you build and operate them, we’d love to hear from you.