Our client is part of the fourth largest automotive concern in the world. The company includes: a light commercial vehicle plant, a powertrain plant and two Shared Service Centers - financial and HR and payroll, providing services to other branches of the company in Europe.
If you want to develop as a Data Engineer in the automotive industry - this offer is for you!what we offer- contract of employment
- opportunity for professional development
- remote working model with occasional presence in the office
- acquiring a valuable experience by participation in global projects
- enjoyable and comfortable working environment where we appreciate your commitment
- benefit package (insurance, medical care, sports cards, leasing programme)
- annual bonus of 14.5% of annual salary paid in 2 parts - February and August
- discounts on cars, leasing programme
- discretionary bonus
- design and implement secure, scalable, high-performance and robust data services for connected vehicle data in distributed data processing platforms using modern Big Data technologies
- design, extend, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the software development life cycle
- partner with software engineers and data scientists to meet the need of upstream and downstream dependencies
- work with external carrier stakeholders and internal partner teams to ingest connectivity data for data processing
- develop state of the art code – influence/establish the software development culture of the team. Establish standards and best practice for instrumentation within software engineering
- keep up to date with the evolving Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies
- 2+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores
- 2+ years of experience in the data engineering and software development life cycle
- experience with one or more functional languages such as F#, Scala or Haskell
- experience working with cloud Big Data platforms (i.e. Spark, Google BigQuery, Azure Data Warehouse, etc.)
- familiarity with time series database, data streaming applications, Kafka, Flink, and more
- experience with workflow management engines (i.e. Airflow, Luigi, Azure Data Factory, etc.)
- understand how to work with Hive metastores
- experience with continuous integration tools like Jenkins
- experience with creating containerized applications using Docker running them on Kubernetes.
- familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus
Employment agency entry number 47
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