Data Engineer; Azure Data Factory Addepto mazowieckie

full office work, home office work, hybrid work

employer does not require CV

remote recruitment

Specializations:

Big Data / Data Science, Data analytics & BI

Addepto

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• Python
• SQL
• ETL/ELT
• CI/CD
• Microsoft Power BI
• Databricks

• dbt

• As a Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure Data Factory (ADF). The current environment includes Azure Functions and ingestion components, but daily delivery is strongly centered on ADF pipeline design, orchestration, monitoring, and continuous improvement.
• The project focuses on expanding and stabilizing the existing data platform, including the warehouse layer (Azure SQL Database or Synapse), optional dbt-based transformations, and occasional Power BI reporting support. You will work closely with the client-side Product Owner and Architect, proactively aligning business needs with technical implementation decisions and ensuring high-quality, scalable solutions. Additionally, you will contribute to Azure Dev Ops CI/CD pipelines and release processes to maintain reliable deployments across environments.

• 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 Dev Ops, 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.

• 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 Dev Ops (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).

• Knowledge of dbt.
• Experience implementing data warehouses on Azure.

• you can change the project
• you have influence on the choice of tools and technologies
• you have influence on the technological solutions applied
• you have influence on the product
• you develop the code "from scratch"
• agile
• scrum

• technical leader
• data scientist
• project manager

• assistance in preparation to public speeches
• conferences in Poland
• external training
• industry-specific e-learning platforms
• intracompany training
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company
• time for development of your…