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Senior Data Engineer

Who You Are.

 

You are a senior data engineer experienced in how to handle data and ETL. You convert raw data into usable form, for analysis and applications. You are quality assuring the data

At Research & Development, Data Science CVE you will be a key contributor to be able to work in a data driven way with vehicle data, customer data and other types of data related to above. We need you in our mission to create cars to move in a personal, sustainable, and safe way. Together with other engineers around the world, you and your team will create innovative human-centric car technology that makes life less complicated and more enjoyable for people.

Are you interested in data cloud, cloud computing, make data pipelines, arrange and quality assure data?

Do you share our passion for people, the environment, and our urge to create a great customer experience? Research and Development is the place for you to prosper.

Business Structure Linkage.

 

This role is within the team of Complete Vehicle Engineering department. The role has the responsibility to set up data storage, pipelines, ETL for R&D. Your position will be in a local team, but also a part of a global team where it’s possible to learn from each other. It is a great position for personal development.

 

What You’ll Do.

 

As a Senior Data Engineer you make sure data arrives at the right time, at the right place, in the right format, and with the right quality. More often than not, the data is of large scale. You will be responsible to build up the Data Engineering design patterns in R&D, APAC for vehicle data and other data needed, globally and locally adapted where necessary.

You will support whole R&D with data and analytics and continue the transformation of R&D to facilitate data driven development and customer focus. When needed to provide direct customer value through data created by R&D functions, also collaborate with commercial IT. Natural partners are also Quality and EO-Digital.

 

When handling customer related raw data, which is needed in many instances, it is important to understand local privacy laws and other data laws. You will keep updated with help from privacy and compliance officers on data and privacy laws, and together find a way to handle issues in a compliant way.

 

In summary, as a Senior Data Engineer, you are a hands-on doer, when needed also developing others.

 

 

Your Responsibility.

 

  • Collect, manage, and convert raw data into usable form, for analysis and applications. Make sure that data arrives at the right time, at the right place, in the right format, and with the right quality
  • Lead and set strategy for Data Engineering at Data Science CVE, APAC.
  • Liaise with Data Science CVE global, use global design patterns, and local where necessary
  • Liaise with interfaces as, Engineering and Operations-Digital (IT), Quality and internal R&D stake holders
  • Work closely together with data providers as e.g., Quality, Connected Car/Telematics, (ConX), Vehicle Data and Diagnostics, (VDD) and Engineering and Operations-Digital (IT).
  • Collaborate with internal functions as Consumer Data and Data Driven Transparency
  • Lead continuous improvements of processes, methods, technology and tools for R&D, APAC within the Data Engineering area
  • Participate in training of employees in Data Engineering when needed
  • Facilitate cross-functional coordination
  • Participate in hands on Data Engineering/Data Science projects
  • Coach and hands on help other organisations to start up own Data Engineering initiatives.
  • Drive and support the development of data products regarding customer and product.

 

 

You And Your Skills.

 

Required skills

  • Excellent skills on coding, Data Engineering/ Data Science programming experiences on (e.g. Python) etc. are required
  • Cloud computing
  • Storage systems like ADLS, S3, and Hadoop based systems
  • Compute infrastructure such as clusters, VMs
  • Container orchestration platforms, such as Kubernetes
  • Modern data formats such as parquet, delta, orc, often found in data lakes
  • SQL, NoSQL Database and data warehouse systems such as MySQL based warehouses, HBase, BigQuery, Redshift, Snowflake etc.
  • Experience with APIs, e.g., RESTful API
  • Data manipulation in SQL on advanced level
  • Distributed data manipulation, such as Apache Spark
  • Pipeline design
  • Batch vs. stream processing
  • Automation and monitoring
  • Python packages for data, such as pandas, scikit learn, etc.
  • Data security by design
  • Data privacy by design
  • Time-series data preparation and manipulation
  • Data pipeline visualisation and design with Directed Acyclic Graph (DAG)
  • Data version control (DVC) best practices
  • Basic understanding of Analytics and Machine Learning models
  • Good communication, oral and written skills in English

 

 

 

Meritorious skills

  • Experience in working with vehicle data is meritorious
  • Experience within automotive industry is meritorious
  • Understand value flows within automotive industry is meritorious

Soft skills

                             

  • Teamwork spirit, realise that the team is greater that the individual
  • Passions with automobile and technology, especially data, analytics, and customers
  • Critical thinking
  • Good general communication skills, ability to explain complex issues in simple terms
  • Willingness to develop other people in Data Engineering processes, methods, and tools

 

 

 

Competence Required.

 

  • STEM education (at least MSc or equivalent)
  • More than 5 years relevant experience and solid knowledge of Data Engineering.
  • Basic understanding and experience in statistics, machine learning and AI.

 

VCCN-Shanghai Jiading (APHQ), CN

Job requisition ID:  61579

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