We are looking for a Data Engineer to join our client's Global Analytics & Data Products Team. The company is a leading global automaker and provider of innovative mobility solutions.
On the position, your goal would be to establish the organization’s data infrastructure, promote engineering best practices on data management, and keep a high bar for data quality.
what we offer- salary based on the contract of employment
- possibility to work fully remote
- annual bonus
- car discounts and leasing
- working on multinational projects, designing state-of-the-art solutions
- life insurance
- sports card
- private medical care
- designing data models
- building, developing and testing ELT / ETL processes
- assemble large, complex data sets that meet functional and non-functional business requirements
- defining and computing KPIs
- designing data visualization dashboards
- processing, cleansing, and verifying the integrity of data used for analysis
- analyze large amounts of vehicle data to discover trends and patterns
- writing and refactoring the code into reusable libraries, APIs, and tools in order to have clear, efficient, tested, and high-quality code
- playing an active role in pursuing engineering excellence, by fixing bugs and refactoring the code base where necessary
- supporting business analytics initiatives cross-Departments
must have:
- combination of business focus, analytical and problem solving skills in order to quickly define a data-driven solution within different initiatives.
- excellent written and communication skills: ability to communicate to technical and non-technical project stakeholders.
- ability to work within a team and with a proactive attitude
- degree in Computer Sciences, Engineering, Mathematics, Statistics or Physics
- knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Hadoop, Databricks, Snowflake
- proficiency with SQL
- knowledge of Database Management Systems (PostgreSQL, MySQL, …)
- scientific programming with Python (Numpy, Scipy, Scikit-learn, Pandas, …)
- functional programming with Scala
- knowledge of at least one of the following tools: Docker, Openshift, Ansible, Jenkins, Maven
- proficiency with software engineering principles
- English - minimum B2
nice to have:
- Master Degree or equivalent experience
- previous automotive experience
- data Visualization Tool (Kibana, Grafana, …)
- knowledge of deep learning frameworks (Pytorch, Tensorflow, …)
- proficiency with CI/CD topics
- familiarity with the Agile/Scrum Framework
Employment agency entry number 47
this job offer is intended for people over 18 years of age
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