Senior Data Engineer (Azure Cloud & Data Platforms)

About Us

ERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies’ strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems.

In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO’s business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide.

Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers’ future needs.

About the role

We are seeking a highly skilled and motivated Senior Data & Analytics Engineer to join our IT Business Solutions – Life & Health Reinsurance team. This role is pivotal in designing, developing, and supporting data-driven solutions that leverage modern cloud-native technologies.

How you will get the job done

• designing, building, and maintaining scalable data pipelines and workflows using Azure Data Factory and Databricks
• developing and optimizing SQL-based transformations and Python scripts for ETL processes
• building and maintaining Power BI dashboards and reports, ensuring they are intuitive, performant, and aligned with business KPIs
• collaborating with data scientists and actuaries to support ML model development, including data preparation, feature engineering, and model deployment pipelines
• integrating data from various sources into centralized data platforms for analytics, reporting, and ML use cases
• ensuring that data solutions are secure, compliant, and aligned with enterprise architecture standards
• participating in code reviews, mentoring junior engineers, and contributing to continuous improvement initiatives
• supporting production data systems as part of a DevOps model (build, own, run)

Skills and experience you will need

• fluency in English
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• 5+ years of experience in data engineering or analytics engineering roles
• proficiency in Databricks SQL, Azure Data Factory, data pipeline development, and Power BI reporting
• strong experience with Python scripting for ETL and data transformation tasks
• proven experience with Azure Cloud services, including Azure Data Lake, Azure Synapse, and Azure Functions
• strong understanding of data modeling, ETL/ELT processes, and data governance principles
• hands-on experience with CI/CD pipelines using Azure DevOps for data workflows
• strong experience with relational databases, including SQL Server and PostgreSQL
• experience designing and implementing event-driven architectures
• proven ability to collaborate effectively with actuaries and data scientists in a matrixed and Agile organization with geographically distributed teams
• solid understanding of DevOps principles, automated testing, and monitoring practices​

Nice to have

• exposure to Azure Bicep, ARM templates, or other IaC tools
• experience with API security best practices and zero-trust architectures
• experience with additional cloud platforms (AWS, GCP)
• familiarity with monitoring and observability tools such as Azure Monitor, Prometheus, Grafana, and Datadog
• familiarity with NoSQL databases
• prior experience working in a product team setup, contributing to iterative delivery and long-term product ownership