Data Engineer, Azure Data Factory

🕒 February 16

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Addepto

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Addepto is a company specializing in Artificial Intelligence and Machine Learning solutions tailored for various industries. They offer AI consulting, MLOps consulting, and data engineering services, providing comprehensive AI-driven strategies and applications. Addepto focuses on implementing sophisticated AI technologies such as Generative AI, computer vision, and large language models to solve complex business problems. They cater to industries like finance, aviation, retail, and logistics, among others, enhancing operations and decision-making processes.

📋 Description

• Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. • Configure and manage linked services and datasets within ADF. • Monitor, troubleshoot, and optimize ADF pipelines to ensure performance and reliability. • Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL Database or Synapse). • Translate business requirements into technical solutions in close collaboration 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, including pipelines, releases, and environment promotion. • Support occasional Power BI reporting and dashboarding needs. • Ensure proactive communication, stakeholder alignment, and visibility of risks and impacts. • Take ownership of assigned tasks and actively contribute to continuous platform improvement.

🎯 Requirements

• Strong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments. • 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 processes in Azure DevOps (pipelines, releases, multi-environment deployments). • Solid understanding of Azure services and cloud-based data solutions (e.g., Azure SQL Database, Azure Key Vault). • Experience with Power BI for occasional dashboarding and reporting. • Experience working with modern development practices and tools. • Consulting mindset with proactive communication and strong stakeholder alignment skills. • Ability to effectively collaborate with Product Owner and Architect during planning and delivery. • Independent and responsible approach to delivering high-quality solutions. • Excellent command of English (at least C1 level).

🏖️ Benefits

• Work in a supportive team of passionate enthusiasts of AI & Big Data. • Engage with top-tier global enterprises and cutting-edge startups on international projects. • Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications. • Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off. • Participate in team-building events and utilize the integration budget. • Celebrate work anniversaries, birthdays, and milestones. • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching. • Get full work equipment for optimal productivity, including a laptop and other necessary devices. • With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.