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Senior Data Platform Engineer – Azure, Databricks, Terraform

🕒 September 16

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on accesa.eu's careers page, not through a job board

First seen by Remote Rocketship September 16

Still open on accesa.eu's site. Checked 10 hours ago.

Logo of accesa.eu

accesa.eu

1001 - 5000 employees

Founded 2003

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

Consulting • Manufacturing • Healthcare

Accesa is a leading technology company that has been a trusted IT partner since 2004. Specializing in custom software development, application modernization, cloud solutions, data analytics, AI, and cybersecurity, Accesa helps businesses across diverse industries including retail, manufacturing, and finance. The company is known for its customer-centric approach, providing tailored solutions that drive innovation and growth for its clients. With a focus on digital transformation, Accesa builds strong, flexible, and collaborative partnerships, ensuring high-quality service delivery and customer satisfaction. Their services span intelligent workplace solutions, business hyperautomation, and comprehensive managed operations, making Accesa a reliable choice for future-ready organizations.

📋 Description

• Contribute to building and evolving a self-service platform that automates Databricks workspace provisioning • Write Terraform code to deploy and manage Azure infrastructure • Develop orchestration and provisioning logic in Apache Airflow • Build data synchronization pipelines between on-premises data lakes and the cloud platform • Maintain synchronization between Databricks governance and on-premises data governance • Collaborate with the client's engineering team • Attend quarterly on-site PI Planning weeks in Germany

🎯 Requirements

• Strong experience with Databricks, including workspace administration and governance/Unity Catalog • Solid Terraform/infrastructure-as-code experience in Azure • Apache Airflow experience for orchestration and automation • Data engineering fundamentals, including reliable data synchronization/integration pipelines • Kubernetes experience; the platform runs on OpenShift • Senior-level autonomy, ownership, and ability to challenge technical decisions • Docker/containerization experience is nice to have • GenAI on Databricks experience is a potential future direction, not a current requirement • German is not mandatory; working language is English • Experience in regulated industries such as banking or financial services is nice to have

🏖️ Benefits

• Medical benefits • Gym support • Personalised fitness options • Team events • Healthy Habits Club • Flexible work-life dynamic • Mental wellbeing support • Social wellbeing initiatives • Hybrid-environment community activities

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