Senior Data Engineer – Azure Data Engineering at paiqo GmbH

Vienna, , Austria -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

0.0

Posted On

09 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Platforms, Data Lake, Databricks, Synapse, Data Architecture, Distributed Systems, Data Modeling, Performance Optimization, Infrastructure As Code, CI/CD, Cost Optimization, DevOps, Communication Skills, Leadership Skills, German Language, English Language

Industry

IT Services and IT Consulting

Description

We digitize decisions with data—would you like to get involved? In the role of Senior Data Platform Engineer, you will design the architecture of modern lakehouse platforms and enable self-service data access. You will combine Azure services (OneLake, Fabric, Databricks, Mirroring) to create scalable end-to-end solutions and implement governance, security, and cost optimization strategies. Your work will lay the foundation for successful AI projects. Tasks & Responsibilities Architecture of lakehouse platforms with Fabric/OneLake, Synapse, and Delta Lake; introduction of zero-ETL data integration via mirroring Implementation of Unity Catalog for centralized data management and fine-grained access control, as well as integration with Purview Building DataOps frameworks: using Delta Live Tables, serverless SQL pools, and automated monitoring tools for performance and cost management Development of security and compliance concepts; integration of VNet, Private Link, Key Vault, and AD integration Mentoring of junior engineers, leading code reviews, assisting with architecture decisions Advising stakeholders on data strategy, technology selection, and business impact What we offer you Flexible working: Trust-based working hours, hybrid working, and remote working possible (residence in Austria) 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 Leadership influence: You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team 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! At least 5 years of experience in setting up and operating Azure data platforms (Data Lake, Databricks, Synapse/Fabric) and in managing projects In-depth knowledge of data architecture, distributed systems, data modeling, and performance optimization Experience with infrastructure as code and CI/CD, cost optimization, and DevOps Strong communication and leadership skills; ability to explain complex concepts to business partners in an understandable way Fluent German and very good English skills

Responsibilities

The Senior Data Platform Engineer will design the architecture of modern lakehouse platforms and enable self-service data access. This role involves combining Azure services to create scalable solutions and implementing governance, security, and cost optimization strategies.