Azure Data Factory Data Engineer

Quick Facts

• Role: Azure Data Factory Data Engineer

• Primary focus: Azure Data Factory pipelines for a scalable Azure data platform

Description

You will support and further develop an Azure-based data integration solution centered on Azure Data Factory (ADF). The project expands and stabilizes the data platform, including the warehouse layer (Azure SQL Database or Synapse), optional dbt transformations, and occasional Power BI support. You will work with the Product Owner and Architect to translate business needs into technical implementation decisions and to deliver reliable deployments via Azure DevOps CI/CD.

Responsibilities

• Design, develop, and maintain Azure Data Factory pipelines (orchestration, parameterization, trigger management)

• Configure and manage ADF linked services and datasets

• Monitor, troubleshoot, and optimize ADF pipelines for performance and reliability

• Develop and maintain ETL/ELT processes and support evolution of the warehouse layer (Azure SQL Database or Synapse)

• Translate business requirements into technical solutions with the Product Owner and Architect

• Develop and maintain Python-based components (e.g., Azure Functions, API integrations, automation scripts)

• Contribute to CI/CD processes in Azure DevOps (pipelines, releases, environment promotion)

• Support occasional Power BI reporting and dashboarding

• Communicate proactively with stakeholders and report risks and impacts

• Take ownership of tasks and contribute to continuous platform improvement

Requirements

• Strong hands-on experience with Azure Data Factory (pipeline/orchestration design, linked services, datasets, triggers, parameterization, monitoring, troubleshooting, performance tuning, and deployment-aware development)

• Excellent knowledge of Python (Azure Functions, REST APIs, automation)

• Strong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads

• Experience with CI/CD in Azure DevOps (pipelines, releases, multi-environment deployments)

• Solid understanding of Azure services for cloud data solutions (e.g., Azure SQL Database, Azure Key Vault)

• Experience with Power BI (occasional dashboarding/reporting)

• Experience with modern development practices and tools

• Consulting mindset with proactive communication and stakeholder alignment

• Ability to collaborate with Product Owner and Architect during planning and delivery

• Independent and responsible approach

• English proficiency at least C1

Benefits

• Flexible work arrangements (remote or modern offices/coworking spaces)

• Career growth through career paths, knowledge sharing, language classes, and sponsored training/conferences (including partnerships such as Databricks and Anthropic)

• Team-building events and an integration budget

• Medical and sports packages, eye care, and well-being support (including psychotherapy and coaching)

• Full work equipment for productivity (laptop and necessary devices)

• Opportunities to build a personal brand (speaking at conferences, blog writing, meetups)

• Smooth onboarding with a dedicated buddy, plus a friendly and autonomous culture