9 months ago
Remote, PolandMid Level
Responsibilities
- Design, develop, and maintain Azure Data Factory pipelines for orchestration, parameterization, triggers, monitoring, and performance optimization.
- Configure and manage Azure Data Factory linked services and datasets.
- Monitor, troubleshoot, and improve pipeline performance and reliability.
- Develop and maintain ETL/ELT processes and support Azure SQL Database or Synapse warehouse workloads.
- Translate business requirements into technical solutions with the Product Owner and Architect.
- Develop Python-based Azure Functions, API integrations, and automation scripts.
- Contribute to Azure DevOps CI/CD pipelines, releases, and multi-environment deployments.
- Provide occasional Power BI reporting and dashboarding support.
- Communicate proactively with stakeholders, surface risks and impacts, and contribute to continuous platform improvement.
Requirements
- Strong hands-on experience with Azure Data Factory, including pipeline design, orchestration, linked services, datasets, triggers, parameterization, monitoring, troubleshooting, performance tuning, and enterprise deployment practices.
- Excellent Python skills, including Azure Functions, REST API integrations, and automation.
- Strong SQL skills and understanding of data modeling for ETL/ELT and data warehouse workloads.
- Experience with Azure DevOps CI/CD pipelines, releases, and multi-environment deployments.
- Solid understanding of Azure services and cloud-based data solutions, including Azure SQL Database and Azure Key Vault.
- Experience with Power BI reporting and dashboarding.
- Understanding of modern development practices and tools.
- Consulting mindset with proactive communication, stakeholder alignment, and effective collaboration with Product Owners and Architects.
- Independent, responsible approach to delivering high-quality solutions.
- English proficiency at least at C1 level.
- Knowledge of dbt is preferred.
- Experience implementing data warehouses on Azure is preferred.
Benefits
- Supportive team working on international AI and Big Data projects for global enterprises and startups.
- Flexible work arrangements with remote work or access to offices and coworking spaces.
- Career development paths, knowledge-sharing initiatives, language classes, sponsored training, and conferences.
- Access to Databricks and Anthropic training materials and certification programs.
- Team-building events and an integration budget.
- Medical, sports, eye-care, psychotherapy, coaching, and other well-being support packages.
- Full work equipment, including a laptop and other necessary devices.
- Opportunities to build a personal brand through conferences, blog writing, and meetups.
- Dedicated buddy and supportive, autonomous onboarding experience.
About Addepto
Addepto provides AI consulting and data engineering services for enterprises, covering machine learning, generative AI, MLOps, NLP, and computer vision, and also develops ContextClue, an AI-driven knowledge management platform for industrial engineering. Founded in 2018 and headquartered in Warsaw, it operates as a privately held company within KMS Technology. The firm engages across sectors such as manufacturing, finance, e-commerce, and real estate to move AI initiatives from discovery to production.