AzureData Engineer II - Agentic AI Platform

paiqo GmbH; Benhausen; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A technology company in Nordrhein-Westfalen, Germany is seeking a Professional Data Platform Engineer. This role involves developing and maintaining data pipelines using Azure technologies, ensuring data quality and governance, and collaborating with various stakeholders. The ideal candidate should have 2–5 years of data engineering experience, proficiency in SQL and Python, and a strong willingness to learn. The position offers flexible working conditions including the option for remote work.

Leistungen

Flexible working hours

State-of-the-art technology stack

Targeted further training

Innovation space

Diversity & inclusion

Qualifikationen

• 2–5 years of experience in data engineering, preferably with Azure Data Services.
• Very good SQL and Python skills.
• Knowledge of CI/CD and cloud security.

Aufgaben

• Plan, develop, and maintain data pipelines.
• Integrate new Azure features for governance.
• Automate deployments and testing.
• Ensure data quality and security.
• Collaborate with data scientists and stakeholders.

Kenntnisse

Data engineering experience

SQL

Python

Azure Data Services

DevOps processes

Communication skills

Willingness to learn

Streaming technologies

Tools

Azure Data Factory

Databricks

MS Fabric

Terraform

Bicep

Jobbeschreibung

We digitize decisions with data—would you like to get involved?

We shape our customers' data-driven future with scalable, secure, and automated Azure platforms. As a Professional Data Platform Engineer, you will be responsible for complex data pipelines: from zero-ETL replication of operational data (mirroring) to Delta Lake-based lakehouses. Our vision: self-service data access for all departments, supported by DataOps and governance.

Tasks & Responsibilities:

• Planning, development, and maintenance of robust batch and streaming pipelines with Azure Data Factory, MS Fabric and Databricks
• Integration of new Azure features such as mirroring (zero ETL), Delta Live Tables, and Unity Catalog for centralized governance
• Automation of deployments and testing using CI/CD (Azure DevOps or GitHub Actions) and infrastructure as code (Bicep/Terraform)
• Ensuring data quality, lineage, and security—using Microsoft Purview and role-based access control
• Collaborating with data scientists, product owners, and customers to translate requirements into scalable data solutions
• Evaluating new services such as Lakeflow or Microsoft Fabric for productive use

What we offer you

• Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Germany)
• State-of-the-art technology stack: Work with Fabric, Delta Lake, Databricks, Mirroring—ideal for tech-savvy juniors
• Targeted further training: Working hours for training, certifications, and mentoring
• Innovation space: Opportunity to test new tools and frameworks and develop proof-of-concepts
• Diversity & inclusion: We welcome all applicants and promote an inclusive environment; your ideas are important to us
• Real influence: You can help shape technology decisions and contribute your ideas directly to product roadmaps

If you want to take on responsibility, enjoy working with the latest Azure technology, and value an open, learning-oriented team culture, we look forward to receiving your application!

Requirements

• 2–5 years of experience in data engineering, preferably with Azure Data Services (Data Factory, Databricks, MS Fabric)
• Very good SQL and Python skills; experience with Delta Lake, streaming (Event Hubs, Kafka), and data modeling
• Knowledge of CI/CD and DevOps processes as well as cloud security and governance
• Solution-oriented thinking, strong communication skills, and willingness to learn new things
• Very good German and good English skills