Senior Data Engineer (Azure Data Factory)

Miejsce pracy: Katowice

Technologies we use

Expected

Python
SQL
Microsoft Azure
Azure Data Factory
ETL/ELT
CI/CD
Databricks
Streaming

Optional

dbt

Operating system

Windows
macOS

About the project

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 (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 DevOps CI/CD pipelines and release processes to maintain reliable deployments across environments.

This is how we organize our work

This is how we work

in house
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"
you focus on product development
agile
scrum

Team members

technical leader
big data developer
data scientist
project manager

Your responsibilities

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.

Our requirements

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).

Optional

Knowledge of dbt.
Experience implementing data warehouses on Azure.

What we offer

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 partnerships with Databricks and Anthropic, which offer 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.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Development opportunities we offer

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

Benefits

sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
remote work opportunities
flexible working time
fruits
integration events
no dress code
video games at work
coffee / tea
drinks
christmas gifts
birthday celebration
employee referral program
Reimbursement for prescription glasses or contact lenses

Recruitment stages

Let's get to know each other (45 min)
Technical Interview (1 h)
Management Interview (1 h)

Important:

Addepto may publish job opportunities on external job boards, but all applications are collected and processed through our official recruitment system: Recruitee

Please make sure that any further recruitment communication you receive comes from an official Addepto recruitment channel. If you receive a job offer, interview invitation, or recruitment email from an unofficial or unverified source, please be cautious, as it may not come from Addepto.

Addepto

Addepto is a leading AI consulting ( and data engineering ( 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.

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez ADDEPTO sp. z o.o. z siedzibą w: Świeradowska 47, 02-662 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu.
Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania. Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji. Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych. Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych. Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany. Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach. W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: hr@addepto.com.

Senior Data Engineer (Azure Data Factory)

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