Data Engineer
⚲ Poznań, Gdańsk, Wrocław
Do uzgodnienia
Wymagania
- Snowflake
- Microsoft Azure Cloud
- SnowSQL
- Python
- Git
- Azure DevOps
- CI/CD
- Microsoft Fabric
- Databricks
Opis stanowiska
Do you enjoy working with data, optimizing pipelines, and leveraging cloud technologies to drive efficiency?
If so, we have a role where you’ll design, develop, and maintain data pipelines that enhance business processes and support data-driven decision-making.
What You’ll Do
✔ Design, develop, implement, maintain, and test data pipelines using Azure Data Factory.
✔ Manage and optimize Azure resources, including Logic App, Azure Data Factory, and Blob Storage.
✔ Implement ETL solutions in Azure/Snowflake.
✔ Create ETL processes and data transformations in Snowflake using SnowSQL and Python.
✔ Implement CI/CD pipelines in Azure DevOps.
✔ Participate in designing data warehouse.
✔ Work closely with business analysts to understand project goals and requirements.
✔ Collaborate with other data engineers to deliver high-quality solutions for our clients.
Our requirements
🔹 3+ year of experience in Data Engineering or a related field.
🔹 Understanding of data warehousing principles and best practices.
🔹 Familiarity with Snowflake and Azure cloud services.
🔹 Experience working with Azure cloud services.
🔹 Hands-on experience with Python and SnowSQL.
🔹 Knowledge of CI/CD, Git, and Azure DevOps.
🔹 Strong problem-solving skills and attention to detail.
🔹 Eager to explore new technologies and stay up to date with modern data solutions.
🔹 Fluent English (B2+) – communicate clearly and effectively in a business environment.
Optional
⭐ Experience working with Microsoft Fabric and Databricks.
⭐ A problem-solving and analytical mindset – you enjoy solving complex data challenges.
⭐ Passion for data engineering and cloud technologies.
⭐ Interest in optimizing and automating data workflows.
⭐ Bonus points for experience with data lake architectures.
What we offer
✔️ Long-term, stable contract.
✔️ Opportunities to strengthen your skills, broaden your experience, and work in a learning-focused environment
that supports continuous improvement.
✔️ Comprehensive benefits package.
✔️ Remote-first work environment with hybrid options available.
About Us
We are a data analytics company delivering advanced solutions that help organizations make better, data-driven decisions. By combining analytics, machine learning, and modern cloud technologies, we transform data into actionable insights and business value.
Ready to engineer scalable data pipelines and optimize cloud workflows in a cloud-first environment? If you match the requirements, we encourage you to apply!
We value diversity and welcome candidates of all backgrounds to bring their unique perspectives to Antdata.
If so, we have a role where you’ll design, develop, and maintain data pipelines that enhance business processes and support data-driven decision-making.
What You’ll Do
✔ Design, develop, implement, maintain, and test data pipelines using Azure Data Factory.
✔ Manage and optimize Azure resources, including Logic App, Azure Data Factory, and Blob Storage.
✔ Implement ETL solutions in Azure/Snowflake.
✔ Create ETL processes and data transformations in Snowflake using SnowSQL and Python.
✔ Implement CI/CD pipelines in Azure DevOps.
✔ Participate in designing data warehouse.
✔ Work closely with business analysts to understand project goals and requirements.
✔ Collaborate with other data engineers to deliver high-quality solutions for our clients.
Our requirements
🔹 3+ year of experience in Data Engineering or a related field.
🔹 Understanding of data warehousing principles and best practices.
🔹 Familiarity with Snowflake and Azure cloud services.
🔹 Experience working with Azure cloud services.
🔹 Hands-on experience with Python and SnowSQL.
🔹 Knowledge of CI/CD, Git, and Azure DevOps.
🔹 Strong problem-solving skills and attention to detail.
🔹 Eager to explore new technologies and stay up to date with modern data solutions.
🔹 Fluent English (B2+) – communicate clearly and effectively in a business environment.
Optional
⭐ Experience working with Microsoft Fabric and Databricks.
⭐ A problem-solving and analytical mindset – you enjoy solving complex data challenges.
⭐ Passion for data engineering and cloud technologies.
⭐ Interest in optimizing and automating data workflows.
⭐ Bonus points for experience with data lake architectures.
What we offer
✔️ Long-term, stable contract.
✔️ Opportunities to strengthen your skills, broaden your experience, and work in a learning-focused environment
that supports continuous improvement.
✔️ Comprehensive benefits package.
✔️ Remote-first work environment with hybrid options available.
About Us
We are a data analytics company delivering advanced solutions that help organizations make better, data-driven decisions. By combining analytics, machine learning, and modern cloud technologies, we transform data into actionable insights and business value.
Ready to engineer scalable data pipelines and optimize cloud workflows in a cloud-first environment? If you match the requirements, we encourage you to apply!
We value diversity and welcome candidates of all backgrounds to bring their unique perspectives to Antdata.
🔍 Dekoder Ogłoszenia
🔴
drive efficiency
Oczekuje się, że będziesz pracować nad optymalizacją istniejących procesów, co może oznaczać rozwiązywanie problemów z wydajnością lub refaktoryzację kodu.
🟡
enhances business processes
Twoja praca będzie miała bezpośredni wpływ na sposób działania firmy, co może wiązać się z koniecznością zrozumienia i dostosowania się do specyficznych potrzeb biznesowych.
🟡
support data-driven decision-making
Twoje pipeline'y będą podstawą do podejmowania decyzji biznesowych, co oznacza, że jakość i dostępność danych będą kluczowe.
🔴
Participate in designing data warehouse
Możesz być zaangażowany w proces projektowania, ale niekoniecznie będziesz głównym architektem, co może oznaczać mniejszy wpływ na ostateczny kształt.
🔴
Eager to explore new technologies and stay up to date with modern data solutions
Oczekuje się, że będziesz poświęcać czas na naukę i eksplorację nowych narzędzi i rozwiązań, często poza standardowymi godzinami pracy.