- Building and further developing a true self-service analytics platform for near real-time and batch driven jobs on top of modern cloud technologies
- Enabling the creation of real business insights by solving complex analytical and software engineering challenges at scale
- Working together with a motivated team to define the next evolutionary steps of our consumer analytics world and having a direct influence on our roadmap
- Architecting and building a robust, scalable, and highly available distributed solutions
- Demonstrating extreme work ethics and integrity to deal with sensitive data while protecting our end-customer
- You have several years of experience in evolving modern, cloud-native data-warehouses such as Redshift, Databricks or Snowflake
- You have built robust solutions aiming for no data loss, low latency processing and scale in the past
- You have solid experience in complex data environments requiring advanced data modeling, governance and data management practices
- You have previous experience with near real-time data pipelines (such as Kinesis or Kafka) built on top of AWS or GCP
- You have advanced SQL skills and coding experience in Python, Java or Golang
Company
Location
Lisbon - Portugal
Job type
Full-Time
Golang Job Details
As one of the world's leading mobility providers, our mission at SIXT is to serve our customers with their desired vehicle whenever, wherever and for as long as they need, with a clear focus on Experience, Value, and Convenience. To fulfill this mission we use Data as the only way to make decisions and run our internal processes, digital experiences, and customer touchpoints. With a presence in over 100 countries, we serve millions of customers and collect hundreds of millions of data points across many digital channels. Our Consumer Analytics Engineering team is at the forefront of creating deep insights into our product journeys and the experience of our users. Those insights are key for all our product decisions and are our north star for creating additional value for our customers globally. As a Staff Data Engineer (m/f/d) in the team, you will be the technical leader of a newly-formed, highly-motivated crew, which has the mission of building and developing the OLAP layer for our Consumer Products engineering division, responsible for all our digital experience products. The goal is to provide a highly automated self-service analytics platform for both batch and near-real time streaming workflows.
Do what you love:
Come as you are:
Additional Information
About us:
We are a leading global mobility service provider with sales of €1.53 billion and around 7,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (cab, driver and chauffeur services), SIXT+ (car subscription) and gives our customers access to our fleet of 205,400 vehicles, the services of 1,500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,070 rental stations. At SIXT, a first-class customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility? Apply now!
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