As a Data Quality Specialist, you sit within our revolutionary Siemens Energy Data Analytics & AI team, where we work together on challenging projects that widely impact all areas of the energy industry.
In this fast-paced environment, you will provide continuous automated and manual testing of data sets for use in internal data systems and for delivery from internal systems.
Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation.
Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future.
And honestly, we can’t do it alone.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.
LET’S TALK ABOUT YOU
Bachelor’s in computer science or Information Systems or two (2+) years’ experience with corporate data management systems in high-compliance contexts
Knowledgeable about industry data compliance strategies and practices, such as continuous integration, regression testing and versioning
Familiarity with triple stores and related technologies such as RDF, SPARQL, SHACL and Linked Data is a strong plus
Ability to read and write SQL queries
Experience working in a Big Data environment, dealing with large diverse data sets
Design, develop, document, and perform data quality checks and maintain data quality assurance
Developing dashboards to highlight data quality content and quality KPIs
Monitor quality trends of internal data systems
Write SQL and other reports to evaluate and analysis data content at platform levels
Analyzing data and identifying gaps in metadata / reference data and standardizations
Work with product managers and development leads to create testing strategies
Developing automated tests together with data engineers
Creation of test plans and test cases and corresponding execution and automation of test cases and tracking of defects
Create quality alert processes to identify data quality issues and requirements
Stay up to date of latest developments in data science principles, theories, and techniques to support the business in making truly data-driven decisions
LET’S TALK ABOUT US
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected.
We provide the power to bring heat and light to our cities. We help our customers to save millions of tons of CO2 each year.
That way we not only contribute, but actively drive the energy revolution for a better and greener future.
Check out this video to see what we do here! https : / / bit.ly / 3IfnlaR
Within the enterprise team for Advanced Analytics & AI, we develop new methodologies and tools to enable data-driven decision-making along the value chain improving sustainability, reliability, and affordability of our energy solutions across the globe.
We provide guidance and direction to the business and drive the strategy for the development of AI technologies within a partner ecosystem across industry and academia.
Lucky for us, we are not all the same.
Through diversity, we generate power. We run on inclusion and compassion. Our combined energy is fueled by at least 130 nationalities.
Siemens Energy celebrates character no matter what ethnic background, gender, age, religion, identity, or disability.
Let’s make tomorrow different today!
Jobs & Careers : https : / / www.siemens-energy.com / global / en / company / jobs.html
We value equal opportunities and welcome applications from people with disabilities.