Data Engineer (f/m/d)

Essity is a leading global company focusing on Hygiene and Health businesses, driving operational excellence through harmonization and integration of key business processes. We are on a mission to strengthen our digital capabilities in Analytics Services and are searching for a passionate Data Engineer for Big Data, Data Science, and Data & Analytics applications.

If you are enthusiastic about data and analytics and have extensive experience with the Microsoft Azure Data Lake ecosystem, we want to hear from you. 

About the Role

As a Data Engineer at Essity, you will work across various Data & Analytics Tools, Applications, and Big Data Platforms.

You will take ownership of the data as a key company asset, driving, governing, and guiding teams to maximize value and balance speed and quality in delivery.

You will be aware of the best practices in the Data & Analytics domain and will either know the best way to utilize them or be keen to learn and share your findings with others.

In this role, you will be part of the Analytics Microsoft Delivery team, working closely with Data Science, Enterprise Architecture, and Business Unit teams to contribute to the data strategy. You will also collaborate with Application Architects and Solution Architects to implement coherent solution architecture and learn from each other.

This position is based in our office in Munich, Germany.

We’re looking for people who embody our values, aren’t afraid to challenge, innovate, experiment, and move at a fast pace. We’re always looking for ways to improve our products and ourselves. If this is you, we’d love to talk.

What You Will Do

• Develop, build, configure, test, and implement data solutions, ensuring they meet technical requirements for scalability, security, performance, etc.

• Align and implement measures to ensure data accuracy and accessibility, monitor and refine data management systems, and report on their performance.

• Implement configuration changes, ensuring solutions are peer-reviewed and documented, and maintain, support, and repair solutions to meet specifications.

• Collaborate with other data engineers to achieve requirements and performance goals.

Who You Are

• You hold a degree in computer science, management information systems, or a related discipline.

• You have over two years of experience with Databricks and Microsoft Azure Data Lake tools (Azure Data Lake, Azure Databricks, Azure Data Factory, Logic Apps, Azure Functions).

• You’re experienced in building automation pipelines using Azure DevOps and proficient in Python programming and ETL/ELT processes.

• You possess strong skills in software engineering best practices and data modeling, with advanced knowledge in Python for code refactoring and Spark SQL.

• Experience with RESTful APIs and big data technologies (Hadoop, Kafka, streaming) is a plus, as is a basic understanding of data science.

• Fluent in English - All Applicants are requested to deliver their CV in English language.

What We Can Offer You

At Essity, our purpose, "Breaking Barriers to Well-being," gives meaning to everything we do. Working with us means improving well-being for people and driving positive change for society and the environment. As an employee at Essity, you will belong to an organization where you feel valued, supported to grow, and challenged to generate business results in a collaborative and open atmosphere. Innovate for Good | Excel Together | Be You with Us 

#LI-SA2

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