Senior Data Engineer (Azure Data Factory)

Addepto; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Remote work flexibility

Professional development & training

Medical and well-being packages

Equipment provided

Job summary

Addepto is a leading AI consulting and data engineering company delivering scalable, ROI-focused AI solutions. As a Senior Data Engineer, you will develop Azure Data Factory pipelines, work with Databricks, and shape data platforms for global enterprises and startups.

You will collaborate with Product Owner and Architect, enhance CI/CD processes, and support Power BI reporting, while benefiting from flexible remote or office work arrangements.

Qualifications

• Must-have hands-on experience with Azure Data Factory and Databricks; pipeline design, orchestration, monitoring, and deployment in enterprise environments.

Responsibilities

• Design, develop, and maintain Azure Data Factory pipelines, including orchestration and triggers.

Skills

Azure Data Factory

Databricks

Python

SQL

Azure DevOps

Power BI

Azure SQL Database

CI/CD

English (C1)

Data modeling

Tools

Azure Functions

REST APIs

Job description

O projekcie:

Addepto is a leading AI consulting (addepto.com/ai-consulting/) and data engineering (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.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Senior Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure Data Factory and Databricks. The current environment includes Azure Functions and ingestion components, but daily delivery is strongly centered on ADF pipeline design, orchestration, monitoring, and continuous improvement.

Discover our perks and 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 and Anthropic, which offers industry-leading training materials and certifications.
• 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

Wymagania:

• Strong hands-on experience with Azure Data Factory and Databricks (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.

Codzienne zadania:

• 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.