We’re a software house passionate about building solutions that change how our clients use data and artificial intelligence. For over 9 years, we’ve been developing innovative AI-driven products such as InfraSenses and SolarSpy — not just using ready-made tools, but also building machine learning models from scratch.We are looking for an experienced Data Engineer / Data Architect to lead the design, development, and optimization of enterprise-scale data solutions on Microsoft Azure, with additional expertise in Google Cloud Platform (GCP). This is a hands-on individual contributor role focused on building scalable and efficient data platforms, developing complex ETL/ELT pipelines, and enabling seamless multi-cloud integration. The ideal candidate combines strong technical depth with practical experience in data architecture, governance, and automation (CI/CD) within large-scale enterprise environments.Key Responsibilities:Azure-Centric Data Engineering

Design and deploy Azure data platforms:

Data Lakes: Azure Data Lake Storage (ADLS Gen2) with Delta Lake optimizations. ETL/ELT: Azure Data Factory, Synapse Analytics, and Databricks workflows. Data Warehousing: Synapse Dedicated Pools, Azure SQL DB.

Optimize Spark workloads (e.g. Azure Databricks) for performance tuning (partitioning, caching). Implement real-time pipelines: Azure Event Hubs, Stream Analytics, and IoT Hub integrations.

Ensure data governance:

Enforce data quality with Azure Purview (lineage tracking, sensitivity labeling). Implement RBAC and Azure Active Directory (AAD) integration for secure access.

Build real-time analytics pipelines: Process streaming data via Azure Event Hubs/Stream Analytics with windowing and watermarking strategies.

Operational Excellence

Automate CI/CD pipelines. Lead disaster recovery (DR) Manage data lifecycle

Technical Requirements:Core Azure Expertise

Must-Have:

Advanced SQL, PySpark, and Python. Infrastructure-as-Code (Terraform, ARM/Bicep). Performance tuning (partitioning, indexing, query optimization).

Azure Services:

Data Factory (ADF), Synapse, Databricks, Cosmos DB. DevOps (Azure Pipelines, Repos), Monitor, and Security Center.

GCP Proficiency (nice to have): BigQuery (partitioned tables, materialized views). Cloud Storage, Dataflow, Pub/Sub. IAM and VPC networking. Looker, Dataproc, Composer (Airflow). Preferred Qualifications Certification: Azure: DP-203 (Data Engineer), AZ-400 (DevOps). GCP: Professional Data Engineer (preferred). Education:Bachelors/Masters in CS/IT or equivalent.What We Offer: Opportunity to lead end-to-end design of advanced, enterprise-scale data platforms in Azure and multi-cloud environments. Work with modern technologies (Azure, Databricks, Terraform, GCP) in a highly technical, hands-on role. Supportive, growth-oriented environment with opportunities for certification and continuous learning. A training budget to support your technical and professional development Private medical care and co-financing of a sports card Flexible working hours and the option to work fully remotely