Azure Data Engineer
Description
We are looking for a skilled Data Engineer to design, develop, and maintain scalable integration solutions using Azure services, including Azure Logic Apps, Azure Functions, and Python-based scripting. In this role, you will work closely with cross-functional teams to create efficient, robust, and scalable data pipelines, APIs, and business processes within the Azure cloud ecosystem.
What you'll do
Build, maintain and enhance integrations between core internal tools (CRM, ERP, People Management tool etc.), working with Logic Apps, Data Factory and API-driven workflows to connect production data with downstream systems.
Contribute to running and evolving our Analytical data platform end to end, from ingestion through transformation, modelling and serving across batch and real-time data flows.
Build reliable, observable solutions with data quality checks, monitoring, alerting, idempotent pipelines, backfill capabilities and repair tooling to minimize manual intervention.
Design and maintain governed semantic models that serve analytics, production insights, commercial reporting, billing and reconciliation, customer health and operational decision-making.
Work directly with stakeholders across the company to identify where data creates value and translate ambiguous problems into concrete, valuable use cases. You won't wait for finished specifications.
Improve how we build, deploy and operate the platform, including thoughtful use of AI to enhance engineering velocity and data quality.
5+ years of data engineering experience.
Extensive hands-on experience in developing integrations between core Business Applications (CRM, ERP etc.) through Azure Logic Apps and Data Factory.
Strong proficiency with SQL and a data-engineering language (e.g., Python), plus pipeline/orchestration tools.
Who you are
You have built and run orchestrated data pipelines at scale in production. Azure Logic Apps and Azure Data Factory.
You have substantial experience building and operating data platforms, with advanced analytical understanding, paired with strong SQL experience.
You have worked meaningfully with Azure cloud services, ideally including Data Lake Storage, Synapse Analytics, and Databricks.
You have experience of working with data lakes, data warehouses and complex dimensional or semantic models.
You think operationally and design for long-term reliability, data quality, performance and cost efficiency—especially important in multi-tenant environments.
You have owned end-to-end responsibility for production data systems and work effectively independently within a small senior team.
You use AI tools pragmatically in your engineering work and have the technical depth to evaluate their output critically.
You communicate clearly and leave code, pipelines and technical decisions understandable for the people who maintain them next.
Bonus if you have experience with
- Databricks, or advanced SQL analytics platforms.
Azure Logic Apps, Data Factory, Service Bus, Event Hubs or other Azure integration services.
Building multi-tenant data architectures or customer data platforms.
Real-time data streaming and event-driven workflows.
Media, broadcast, ad tech, or other complex commercial data domains.
Integrating with third-party SaaS platforms or APIs at scale.
Migrating or decommissioning legacy data systems.
4 billion humans see the stories that our customers tell every day. So, for us diversity is not an optional objective, it is a simple reality. Our customers’ customers are diverse, our customers are diverse, Vizrt gains strength from being diverse.
It is true that we hold our diversity to be essential, it is something we constantly nourish and pay attention to, but it is not something we take for granted. We do not tolerate discrimination or harassment. We champion inclusion and we value each other’s stories, and we relish their telling
We offer a comprehensive benefits package that includes:
- Health Insurance: Comprehensive medical, dental, and vision insurance plans to keep you and your family healthy
- Paid Time Off: Generous vacation days, sick leave, and holidays to ensure you have a work-life balance
- Professional Development: Opportunities for ongoing training
Join our team and take advantage of these benefits while working in a dynamic and supportive environment
Recruitment Process
- Recruiter Screening
- Team Interview
- Case Interview
- Final Interview