Senior Data Engineer (Azure Data Factory)

Quick Facts

• Role: Senior Data Engineer (Azure Data Factory)

• Focus: Azure Data Factory pipeline design, orchestration, monitoring, and continuous improvement

• Platform scope: Data warehouse layer (Azure SQL Database or Synapse), optional dbt transformations, occasional Power BI support

Description

You will support and further develop an Azure-based data integration solution centered on Azure Data Factory. The work includes expanding and stabilizing the existing data platform, contributing Python-based components (e.g., Azure Functions and API integrations), and partnering with the Product Owner and Architect to deliver scalable, high-quality solutions. You will also contribute to Azure DevOps CI/CD pipelines and release processes to maintain reliable deployments.

Responsibilities

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

• Configure and manage linked services and datasets in ADF

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

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

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

• Develop and maintain Python-based components (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 surface risks/impacts

• Take ownership of tasks and contribute to continuous platform improvement

Requirements

• Strong hands-on experience with Azure Data Factory and Databricks (must-have)

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

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

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

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

• Experience with Power BI for occasional dashboarding/reporting

• Experience with modern development practices and tools

• Collaborative consulting mindset and proactive communication

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

• Independent and responsible approach to delivering high-quality solutions

• English at least C1 level

Benefits

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

• Career paths, knowledge-sharing, language classes, and sponsored training/conferences (including partnerships for industry-leading training and certifications)

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

• Full work equipment (laptop and necessary devices)

• Smooth onboarding with a dedicated buddy and supportive, autonomous culture

• Opportunities to build your personal brand via conferences, blogging, and meetups

• Team-building events, integration budget, and milestone celebrations