Senior Data Engineer (Serbia)

We’re expanding our Data Engineering practice and looking for a senior-level engineer who can design, automate, and scale modern lakehouse and warehouse platforms on Azure, AWS, or GCP. In this role, you’ll not only partner with product managers, analysts, and data scientists to unlock governed, high-quality data for batch and streaming use-cases, but also lead internal initiatives for driving proof-of-concepts, involved in pre-sales activities, building reusable frameworks, and setting reference architectures that raise the bar for the entire team. You’ll steward our engineering standards and turn innovative ideas into production-ready solutions that accelerate both client projects and our own platform evolution.

What you’ll do: Drive end-to-end data‐platform projects, from requirement workshops to production hand-over, using Databricks, Microsoft Fabric, Snowflake, and associated cloud services. Build and optimize ETL/ELT pipelines (batch, micro-batch, and true real-time) with Python/PySpark, dbt, Airflow, Kafka/Flink, and cloud-native tools. Automate deployment of data stacks via Git-based CI/CD, observability, and cost-controls at every stage.

Implement data-governance controls (GDPR-compliant PII handling, lineage, quality tests) using Unity Catalog, Purview, or Fabric’s governance layer. Mentor mid-level engineers, codify best practices, and contribute to architecture standards and run books. Troubleshoot production workloads, continually improve performance, document m