Senior Analytics Engineer (m/f/d)

Create a better #TomorrowWithUs 🚀
At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300.000 of the world’s most forward-thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.
Your Role in Our Vision
Help shape Siemens’ digital future by building trusted data products that turn batch and real-time data into actionable insights. You will combine data engineering and analytics to deliver modern solutions for the Siemens Data Cloud, working closely with business and technical stakeholders across locations.
Mission:
As a Senior Analytics Engineer, you design and deliver scalable Snowflake solutions, streaming data pipelines, analytical datasets, and reusable data models. You translate business questions into reliable data products and enable timely, data-driven decisions.
Change the future with us…
Using your expertise, you will be responsible for:
Delivering data and analytics solutions end to end, from requirements and source assessment through production and adoption.
Designing, developing, and operating scalable batch and streaming pipelines for structured and semi-structured data.
Building Snowflake data models and curated datasets for reporting, self-service analytics, and data products.
Analyzing data, defining KPIs, and translating findings into clear business insights.
Improving data quality, observability, lineage, performance, and documentation.
Acting as a trusted technical partner to business stakeholders, data product owners, architects, engineers, and analysts.
Contributing to integration, modeling, streaming, and analytics standards in a cross-functional agile team.
What You Need To Make Real What Matters.
Degree in IT, Computer Science, Engineering, Data Science, a related quantitative field, or equivalent practical experience.
Hands-on experience with Snowflake, advanced SQL, data modeling, and cloud data warehousing.
Practical experience with streaming or event-driven data solutions using Apache Kafka, Azure Event Hubs, Snowpipe Streaming, or comparable technologies.
Experience with Python and modern data integration patterns covering batch and near-real-time processing.
Ability to analyze complex datasets, assess data quality, define KPIs, and turn business needs into analytical solutions.
Understanding of data governance, metadata, lineage, access management, and reusable data-product principles.
Strong communication skills, customer focus, and experience working in agile, cross-functional teams.
Business-fluent English, written and spoken.
Make your mark in our exciting world at Siemens.
Join us to connect engineering discipline with analytical thinking and create scalable data solutions that make business impact visible.
Please attach your CV in English to your application.
#Siemens
Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!

Work arrangement
Hybrid