We are seeking a Senior Azure Synapse Data Engineer and Data Modeller to lead data ingestion and modeling efforts within a large-scale analytics environment. The project focuses on leveraging Azure Synapse Analytics and Data Vault methodologies to deliver robust, business-critical data solutions.
Key Facts
Start: 20.07.2026
Dauer: Nicht bekannt
Auslastung: 100 %
Einsatzart
Einsatzort: Remote
Einsatzland: Deutschland
Your tasks
Create and build data ingestion pipelines using Azure Synapse Pipelines, Azure Functions, and Synapse Notebooks
Develop scripts in Python or PySpark for automation
Extract data from diverse sources including APIs, databases, flat files, and other cloud or on-premise systems
Maintain and optimize Synapse Dedicated SQL Pools for data storage and analytical queries
Manage code using Git for source control and CI/CD, ensuring consistent and governed deployment of pipelines and artifacts across environments
Automate failure handling, alerts, and retries to minimize operational overhead
Collaborate with different stakeholders to ensure that data meets business needs and is delivered on time
Provide technical troubleshooting, issue resolution, and continuous support for data delivery pipelines
Ensure adherence to security, privacy, and development guidelines
Document processes and data flows for transparency and knowledge sharing
Identify opportunities for standardization and automate data maintenance processes
Foster a data-driven culture and advocate for the benefits of data management
Engage with leadership and functional leads to ensure alignment and support
Must have competences
8+ years of experience in Azure Synapse Analytics, specifically involving pipelines, notebooks, and SQL pools
Expertise in Data Vault data modeling and methodology
Experience with Azure Data Lake Storage Gen2, including architecture, management, and security
Proficiency in Python and PySpark for data processing and automation
Advanced skills in T-SQL for complex queries and procedures
Extensive experience in the development of ETL/ELT workflows using modern orchestration tools
Experience with RESTful API design and integration
Knowledge of Azure Functions and Logic Apps for event-driven and serverless solutions
Strong understanding of security protocols, including Azure RBAC, Managed Identities, and Key Vault
Experience with monitoring and alerting tools such as Azure Monitor and Log Analytics
Nice to have competences
Experience with Databricks
Familiarity with ServiceNow APIs
Experience in CI/CD and GitHub Actions
Knowledge of PowerShell, YAML, and Azure CLI
Additional information
The assignment is planned to be 100% remote. The project language is English.
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