Data Engineer | Digital Experience

Be part of something bigger. Decode the future.
At Electrolux, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.
Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute and grow together.
Join us in our exciting quest to build the future home.
All about the role:
The Digital Product Organization (DPO) of Electrolux consists of 20+ product teams plus enabling teams and leaders. We develop mobile apps, backend services, and connectivity components for connected appliances globally, guided by contemporary product management and agile principles. Now, we are looking for a Data Engineer to the new Data Product team.
The Data Product team is essential to our operation as it develops consumer facing and internal data products to enhance the quality of decision making for both consumers and internal stakeholders. Data Product team assesses the value of the data and enhances the consumers' experience through new, data-driven services in connectivity domain. Our ambition is to provide a seamless experience for connected appliances consumers by monitoring and analyzing their behavior and launching top-notch products/features tailored to their needs, powered by data!
What you'll do:
We are looking for an extraordinary technical data engineer to join our self-directed team. Working alongside both data engineers and data product owner, you will be instrumental in scaling, storing, processing, and migrating data assets to the Connectivity Data Platform for OneApp; other Data Platform related tasks (solution design and implementation of stream processing, ETL and pipeline automation toolchains) as well as concrete pipelining tasks (configuring data flows from source systems to the data lake and/or various lakeshore access layer stacks). You will collaborate with Global IOT Platform and app development teams.
Qualifications
• Minimum two years of hands-on experience in AWS or Azure
• Solid command of one or more of: Java, Scala, Python
• Good understanding of data structures and database technologies
• Comfortable in Linux/bash
• Experience with Kubernetes & Containers
• Experience with good software practices: Version control (git), CI/CD, writing maintainable code, KISS, DRY, SOLID, test automation, etc.
• Self-motivated, fast learner, technology agnostic, pragmatic
• At least B.Sc. in Computer Science (or equivalent)
Merited
• Experience in data engineering (non-drag and drop ETL, data wrangling, data quality, warehousing, etc.)
• Familiar with cloud automation, e.g. infrastructure as code
• Experience with open source/open standards big data technologies, e.g.: Hadoop, Spark, Hive, HBase, Cassandra, Drill, Databricks, EMR/HDInsight, etc.
• Experience with streaming data technology and uses: Kafka/Kinesis, Confluent Platform, Flink, Samza, Spark Streaming, Druid,
ElasticSearch, etc.
• Experience in cloud solution design
• Analytics / Data visualization experience (preferably PowerBI)
• Experience in functional programming
As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.
Find out more on:
www.electroluxgroup.com