At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of 47.000 pioneers around the globe. The teams in our corporate functions enable the best in our dynamic businesses and in our people to maximize our company’s potential. With our leading brands, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth.

YOUR SKILLS

• Master’s degree in computer science, software engineering or a related subject
• Minimum 8 years of working experience in cloud data ecosystems; covering data ingestion, data modeling, and data provisioning to consumers and downstream systems.
• Experience in ETL/ELT design, data and interface specifications, quality assurance and testing methods.
• Hands on experience on at least one ETL tool, Data Bricks would be desirable.
• Experience in building robust, scalable, high-quality data products in iterations and integrating them into existing and new data-pipelines.
• Power BI design experience (e.g. Dashboard building; Adhoc reporting etc.).
• Experience with agile methodologies in a professional development environment (CI/ CD) and code versioning tools, such as Git, SVN, etc.
• Excellent coding skills in relevant languages for Microsoft Azure environment (e.g. SQL, Python, DAX).
• Azure DevOps knowledge would be an advantage.
• Fluent in English.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations

• Act as lead analytics engineer designing & developing analytical solutions and datasets for end users.
• Data modeling experience in a way that empowers end users.
• Organize and transform data in a meaningful way and provide additional context so that it is ready for analysis.
• Design, develop and use tools, algorithms, and processes for data analysis and data visualization to generate reports to be used in decision making of end users
• Write production-quality ELT code with an eye towards performance and maintainability.
• Live software engineering best practices (e.g., building testing suites and CI pipelines).
• Design, build, and enhance tools and techniques for our DataOps approach such as automatic code generation, automatic data validation and maintenance of development, test and production environments.
• As a Technical Architect, be part of a team of data professionals in the Data & Analytics department, guide the team with your expertise and extend and deepen your knowledge by strong collaboration within the team.
• Actively participate in cross-functional teams using agile methods to deliver high quality data products at a fast pace.
• Ensure documentation related to datasets and analysis is maintained as well as ensure that everyone on the data team uses the same language and definitions.
• Collaborate with our platform team to discover opportunities to improve our systems, enterprises, and processes to have high-quality data.