Data Modeller

By creating desirable solutions and great experiences that enrich people’s daily lives and the health of our planet, we want to be a driving force in delivering enjoyable and sustainable living. At Electrolux, we shape living for the better.
For us going to work everyday has an even greater purpose than putting the latest product or technology on the market. It’s about improving the everyday lives of millions. By staying humble and open for new ideas – we can push the boundaries for cooking, cleaning and wellbeing at home. But to keep doing so, we need more people who want to innovate and re-imagine what life at home can be.
For that, we employ great people from a wide variety of backgrounds – not just because it’s the right thing to do, but also because we believe that diverse perspectives make our business stronger and more innovative. If you share our values, come find your place in our global community. Meet us on @lifeatelectrolux and career.electroluxgroup.com to learn more.


The challenge - As an enterprise producing millions of appliances each year and counting more than 50.000 employees, Electrolux is already generating massive amounts of data in hundreds of systems across the globe from sales to sensors in factory robots or smart home appliances. And with an explosion of IoT devices just around the corner, these data volumes are growing.
The team - The Electrolux Global Data Science team supports business functions across the entire company and helps them turning raw data into insights and actions. The team is a key enabler to support the company’s digital transformation. It is the center of excellence for data handling and advanced analytics and it is also responsible for the Electrolux global data platform.
The role – Your job is to understand and translate business needs into data models supporting long-term solutions. You will implement data strategies, build data flows and develop conceptual data models to enable an increased use of data within Electrolux in a responsible, secure and resource efficient fashion.
What you will be doing:
• Work across the entire platform tech stack used in the Electrolux Global Data Platform.
• Create data assets and data models that serve multiple needs.
• Write maintainable, scalable and future proof code/technologies
• Identify and contribute to the best practices and design-patterns in the data related to data asset management.
• Work in established project management frameworks including Scrum (Agile/Kanban), Atlassian Stack (Jira, Confluence, Bitbucket etc.)


Required experience:
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
• Optimize and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges and propose appropriate solutions.
• Develop data models according to company standards.
• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
• Review modifications to existing software to improve efficiency and performance.
• Examine new application design and recommend corrections if required.
• Comfortable with Linux/Bash and scripting.
• Good understanding of data structures and database technologies.
• Strong personal drive, fast learner, technology agnostic, pragmatic.
• Ability to manage multiple, changing priorities while working effectively in a joint team.
• Passionate about big data and machine learning technology
• Fluent in English, any other language is a plus.
• Be an expert in one or more datawarehouse / cube design principles


Preferred experience
• Azure Databricks or Apache Spark.
• Experience of architecture/cloud solution design.
• M.Sc. in Computer Science (or equivalent).
• Experience of using data ingestion/engineering tools (both code-based and drag and drop ETL, data wrangling, data quality, warehousing, etc.).


What we offer:
Electrolux offers an exciting and challenging job opportunity in an international environment, with a high degree of independence and entrepreneurship. The Electrolux Group provides career opportunities within a global, fast moving, growing yet lean organization. This role will have several touch points globally within the company.
At Electrolux, we have a top management team who are passionate about gender diversity and diversity in general. It’s integral to our Talent process, in how we grow talent. It’s embedded in our initiatives and we have strong metrics to track this. But it’s not just from the top. There is a network called Women at Electrolux operating in six major geographies that generates belief from the grassroots and keeps the topic top of mind. That combination is for us very powerful.
In terms of metrics, we have very clear targets. To get to the right rotation, the right successions, we have to take tangible steps. We push ourselves to find great talents female and male.


Electrolux is a leading global appliance company that has shaped living for the better for more than 100 years. We reinvent taste, care and wellbeing experiences for millions of people, always striving to be at the forefront of sustainability in society through our solutions and operations. Under our brands, including Electrolux, AEG and Frigidaire, we sell approximately 60 million household products in approximately 120 markets every year. In 2020 Electrolux had sales of SEK 116 billion and employed 48,000 people around the world. For more information go to www.electroluxgroup.com.