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SoftwareONE Deutschland GmbH is a leading global software and cloud solutions provider that is redefining how companies build, buy and manage everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareONE unlocks the value of technology.
The company's 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 countries. Headquartered in Switzerland, SoftwareONE is listed on the SIX Swiss Exchange under the ticker symbol SWON.
The RoleWe are seeking a highly skilled Data Engineer to join our Data and AI team. As a Data Engineer, you will play a key role in designing and developing data solutions in the Azure cloud.
Your primary responsibilities will include:
- Design and Develop Data Solutions: Collaborate with internal teams and stakeholders to understand business requirements and design effective and scalable data solutions in the Azure cloud.
- Implement Data Pipelines: Develop robust data pipelines using Azure Data Factory, Azure Databricks, and Azure Fabric, as well as other Azure tools for ingesting, transforming, and loading data from various sources into target systems.
- Create Data Models: Design and build optimized data models to support advanced analytics and BI applications, ensuring data integrity and quality.
- Optimize Performance: Identify and address performance bottlenecks in pipelines and databases, implementing optimization and tuning techniques to improve efficiency and scalability.
- Automate Processes: Develop scripts and automation tools for the implementation of data quality and performance optimization techniques.
- Collaborate with Cross-functional Teams: Work closely with development teams, data analysts, data scientists, and other stakeholders to understand their data needs and deliver effective, business-driven solutions.
- Provide Technical Support: Provide technical support and guidance to other team members in the design, development, and maintenance of Azure cloud data solutions.
- Stay Updated: Keep abreast of the latest trends and technologies in the field of data engineering and Azure cloud, participating in training and certification activities as needed.
- Contribute to Data Culture: Promote a data culture within the company, encouraging best practices in the management and use of data for informed decision making.
To be successful in this role, you will need:
- 2-4 years of experience working in the data engineering area.
- Experience creating and maintaining efficient data pipelines using services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data ingestion, transformation, and loading.
- Demonstrable prior experience in a similar role as a Data Engineer, preferably with a focus on Azure cloud.
- Deep knowledge of Azure services and tools, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage.
- Experience in designing and developing scalable, high-performance data architectures.
- Strong programming skills in languages such as SQL, Python, and/or Scala.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and in a team in a dynamic, fast-paced environment.
- Relevant Azure certifications are a plus.
- Experience working on Generative AI projects.
We highly value:
- Experience with the Azure ecosystem. Any experience with GCP or AWS will be a plus.
- Experience in development tasks using TDD and/or BDD patterns.
- Interpersonal skills, including oral and written communication.
- High level of spoken and written English.
