addepto
addepto~23d ago

Data Engineer (Azure Data Factory)

PolandPoland·Warsawmid
Data EngineerData
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Quick Summary

Overview

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce,…

Technical Tools
azuredbtpower-bipythonsqlab-testingb2bci-cddatabase-designetlperformance-optimizationrest-apis

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

Responsibilities

~1 min read
  • 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.

  • 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).

Nice to have:

  • Knowledge of dbt.

  • Experience implementing data warehouses on Azure.

What We Offer

~1 min read
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.

Location & Eligibility

Where is the job
Warsaw, Poland
On-site at the office
Who can apply
Open to applicants worldwide

Listing Details

First seen
May 5, 2026
Last seen
May 29, 2026

Posting Health

Days active
23
Repost count
0
Trust Level
14%
Scored at
May 29, 2026

Signal breakdown

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addeptoData Engineer (Azure Data Factory)