Ingestion Senior Data Engineer (f/m/d)

Job Description

Are you looking for a career with purpose and dedicated to improving people’s well-being around the world? It’s an exciting time to be part of our collaborative inclusive team. Technology is transforming our business and our services. Come and join us on our journey to improve the well-being of millions through innovative products and technology solutions. Together we can make a difference!

About the Role

Global Digital & Business Services is a global unit with over 1900 employees, located in 44 countries worldwide, that enables sustainable profitable growth for Essity by providing best-in class services, scalable solutions, operational efficiencies and effectiveness through Global Business Services (GBS) and Essity IT.

Essity IT supports all Business & Global Units and is aligned to Essity’s strategic business priorities. Engaged with our stakeholders we drive Essity’s digital journey for sustainable value through innovative and cost effective solutions. As an Ingestion Data Engineer, you will board a great journey where your contribution will help us to improve our IT services!

You will get the opportunity to work at our offices in Parque das Nações with panoramic views and great amenities close by. Working at Essity is not just a career; it is a chance to directly make the world a healthier, more hygienic, and safer place.

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

• Contribute to delivering business impact and finding and implementing effective solutions in a matrix
  organisation to drive the enterprise information strategy and analytics transformation •
• Be responsible for developing and maintaining data loads and develop, build, configure, unit test, and
  implement data solutions based on lower level designs within the data infrastructure •
• Ensure data solution technical functionality and meet requirements outlined in the design in terms of
  scalability, security, performance, data recovery, reliability, etc.
• Align and implement measures to ensure data accuracy and accessibility •
• Constantly monitor, refine, and report on the performance of data management systems •
• Implement system configuration changes based on defined solution •
• Ensure that developed solutions are peer reviewed and formally documented according to company IT
  standards •
• Unit test solutions to ensure that they meet quality standards •
• Maintain, support and repair solutions to ensure performance in accordance with technical and
  functional specification •
• Cooperate with other data engineers to make sure that the applications meet requirements and
  performance goals

What You Need

• University degree in computer science, management information systems, or related discipline •
• More than five years of application programming (python or Scala) and ETL/ELT experience •
• More than two years working with big data technologies including Hadoop, Apache Spark More than two
  years working experience with Databricks and Microsoft Azure Data Lake tools (Azure Data Lake, Azure
  Databricks, Azure Data Factory, Azure Data Warehouse, Power BI, Logic Apps) • •
• More than one year working experience building automation pipelines for testing and deployment using
  Azure DevOps •
• Expert in a combination of Spark (Python, R or Scala), PySpark, Spark SQL, Pandas, and/or Spark
  Streaming •
• Advanced knowledge of Python to be able to perform code refactoring
• Jupyter Notebooks experience is nice to have