Forward Developed Engineer

Stack

Responsibilities

• ▹Consult with OEs in the implementation and configuration of core platform components across Databricks, Azure Synapse and Microsoft Fabric, from initial deployment through to stable production
• ▹Assist in building data integration pipelines that connect OE source systems to central platforms, using both batch and streaming patterns
• ▹Configure platform capabilities with high availability, strong access controls and end-to-end observability
• ▹Extend the platform offering into AI and GenAI scenarios, including Azure AI Foundry
• ▹Partner directly with Operating Entities to translate business needs into working platform implementations and reusable solutions
• ▹Implement governance, security and data control layers in line with financial services expectations for data handling, auditability and operational resilience
• ▹Build and refine CI/CD and infrastructure-as-code pipelines
• ▹Collaborate closely with security, risk, compliance, architecture and data governance teams
• ▹Deliver reusable components, reference architectures and engineering best practices
• ▹Support the rollout of central platform solutions to the OEs and build business-specific use cases on top of them
• ▹Coach and mentor engineers across the organisation and drive continuous improvement in tooling, standards and ways of working

Requirements

• ▹BS/MS in Computer Science, Information Systems, Engineering or an equivalent technical discipline
• ▹5+ years of hands-on experience implementing or engineering data and analytics platforms in enterprise environments, ideally within financial services, insurance or another regulated industry
• ▹Significant experience with Databricks, including Delta Lake, Unity Catalogue, workflows and production pipelines
• ▹Practical experience with Azure data services such as Azure Synapse Analytics and Microsoft Fabric
• ▹Strong data integration skills covering ETL and ELT design, orchestration (e.g. Azure Data Factory, Airflow) and both batch and streaming sources
• ▹Solid engineering skills in Python and SQL, with experience building and maintaining production-grade code
• ▹Experience with CI/CD pipelines, source control management and infrastructure-as-code (e.g. Terraform, Bicep)
• ▹Working knowledge of platform security and governance concepts, including access controls, encryption and data lineage
• ▹Familiarity with end-to-end data product management, including data governance, quality and lifecycle management
• ▹Excellent communication and stakeholder management skills in English

Nice to have

• ▹7+ years of experience in platform engineering, data engineering or cloud infrastructure
• ▹Exposure to Azure AI Foundry or comparable AI platform tooling, including the deployment of model-based services
• ▹Familiarity with MLOps practices and tools such as MLflow, feature stores and model lifecycle governance
• ▹Experience with Kubernetes, Docker and cloud-native architectures
• ▹Hands-on familiarity with the wider modern data stack (e.g. Spark, dbt, Kafka, Snowflake or similar)
• ▹Experience with observability and monitoring tools such as Azure Monitor, Datadog or Prometheus
• ▹Relevant certifications such as Databricks Certified Data Engineer, Microsoft Azure Data Engineer or equivalent
• ▹Additional languages are a plus

Soft skills

What we offer

• ▹Hybrid work model, including up to 25 days per year working from abroad
• ▹Performance-based rewards: company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
• ▹Career development and digital learning programs, international career mobility
• ▹Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
• ▹Support for returning from career breaks

About the company

Allianz Technology is Allianz's global IT service provider, headquartered in Munich with more than 11,000 employees in over 20 countries. Together with Allianz companies it runs, optimizes and innovates infrastructure, applications and services. The Data & Analytics Platforms team develops and runs central platforms and data products for the Allianz Operating Entities.