Data Engineer - Commercial
Full Time
Sao Paulo, Brazil

Make what you do here make a difference around the world.

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 expected to grow in the near future by an order of magnitude or more.

A typical day 

The engineering challenges involved in storing, processing and analyzing data at this scale, velocity and complexity are simply too much for traditional enterprise solutions, so our small team of Data Engineers are currently building a scalable data platform in the cloud to address these challenges and help transform Electrolux into a fundamentally data-driven company.
You will work as part of the Electrolux Data Science team, a key enabler of the company’s digital agenda and the Groups Center of Excellence with regards to Big Data.
Working alongside both Data Engineers and Data Scientists, your responsibilities include platform work (solution design and implementation of stream processing, ETL and pipeline automation tool chains) as well as concrete pipeline tasks (configuring data flows from source systems to the data lake and/or various lake shore access layer stacks).

As part of the culture of continuous improvement, you will be involved in Lean Thinking projects and activities (EMS/C2W).

Who you are

A leader – you have a vision and a purpose, and you can inspire and influence others to not only share it, but apply their abilities to achieving it.
Agile – you work with urgency, analyzing and adapting to different situations, quickly understanding changes and reacting confidently and decisively.
Influential – you have a vision and a purpose, and you can inspire and influence others to not only share it, but apply their abilities to achieving it.
Open – You keep the consumer and customer front of mind, bringing an outside-in perspective to encouraging cross-collaboration, utilizing diversity and encouraging open feedback.
Energetic – Your enthusiasm is infectious and inspires and engages your colleagues and collaborators to achieve, deliver, be accountable and own their work. You’ll also have the stamina essential to delivering results in both the short and long term.

Minimum Qualification

Education & experience
(Minimum qualifications)

- 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 good software practices: Version control (git), CI/CD, writing maintainable code, KISS, DRY, SOLID, etc.
- Self-motivated, fast learner, technology agnostic, pragmatic
- B.Sc. in Computer Science (or equivalent)
- Advanced English


M.Sc. in Computer Science
Experience in data engineering (non-drag and drop ETL, data wrangling, data quality, warehousing, etc.)
Experience with open source/open standards big data technologies, e.g.: 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
Experience from both startup (Lean/Agile) and enterprise (more waterfall-like) environments

As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.



Apply now

We encourage you to apply as soon as possible as candidates will be interviewed continuously. The position may be filled prior to the date described as 'Apply by'