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Siemens Digital Industries (DI) is a global powerhouse focusing on the digital transformation of industry with a comprehensive portfolio of digital technologies. We provide cutting-edge solutions that empower our customers to lead in manufacturing, drive efficiency, and innovate with data and machine intelligence. At Siemens DI, we are committed to pioneering advancements in the digital landscape and are looking for a visionary Senior Analytics Engineer to guide our journey. As a Senior Analytics Engineer, you will play a crucial role in designing, developing, and delivering robust data products that drive innovation within Siemens DI's Analytics Domain. Your technical expertise will be instrumental in shaping the architecture, processes, and strategies of our analytics ecosystem, ensuring we remain at the forefront of the industry. What You'll Do Design, develop, and optimize data products, data models, and pipelines that enable efficient data consumption across teams, enhancing business intelligence and analytics. Work with modern cloud-based data architectures, including data Lakehouse, to ensure security, scalability, reliability, and cost-effective data storage and processing. Leverage version control and CI/CD pipelines to streamline data development. Enable comprehensive data analysis in the manufacturing domain and creating the data foundation for AI applications. Implement best practices for data governance, quality, and performance. Mentor team members on technical best practices for data engineering and analytics while optimizing and managing data transformations. Collaborate with cross-functional teams, including data scientists, analysts, and business teams, to translate business needs into efficient data solutions. Partner with the Data Hub Team to ensure development adheres to standards and utilizes the latest technologies, ensuring data quality, compliance, and security are in place at launch and maintained over time. Stay up to date with emerging trends in data engineering and analytics. What We're Looking For Experience: Several years in an Analytics Engineering role within dynamic, outcome-driven organizations. Technical Skills: Proficiency in SQL, data modeling, and designing ETL workflows. Experience with data streaming (Apache Kafka and Flink). Expertise in Snowflake and in-depth knowledge of modeling data with dbt. Experience with cloud-based data architectures (preferably AWS and especially Lambda). Proficiency in programming languages such as Python or R for data analysis and scripting. Hands-on experience developing and maintaining robust data architectures to support analytics and business intelligence. Proficiency in using tools for version control and managing CI/CD workflows, such as GitHub or GitLab. Leadership: Proven experience in mentoring technical teams and driving data initiatives. Communication: Excellent communication skills, including the ability to translate complex technical concepts to non-technical stakeholders, with strong English proficiency. Problem-Solving: Exceptional problem-solving and analytical thinking skills. Nice to Have Experience in the manufacturing environment, e.g. knowledge of manufacturing processes, MES/MOM systems and the integration of machine and IoT data Expertise with traditional on-premise solutions (e.g. Oracle, PostgreSQL…) Expertise in data visualization tools like Power BI or Tableau. Experience with orchestration tools like Apache Airflow Familiarity with Agile or Scrum methodologies. Experience with AI and machine learning tools and techniques for data analysis and predictive modeling Experience with customer service tools and integrating support data for analytics. If you are passionate aboutdata, analytics, and building high-quality data products, we'd love to hear from you
