Loading...
Share this Job

Work at the forefront of automotive innovation with ZF,
one of the world’s leading automotive suppliers.

Data Engineer

Location: 

Budapest, BU, HU, 1117 Eger, HE, HU, 3300

Req ID 21672 | Budapest, Eger, Hungary

  

Short Description: Responsible for collecting, processing, and provisioning from a variety of internal and external big data sources. The role requires deep expertise in Spark Architecture including Spark Core, Spark SQL, Data Frames, and deliver spark solutions using Spark - SQL and Python in Data Bricks for data extraction, transformation, and aggregation using Microsoft Azure technologies

 

Tasks:

 

  • Understand business needs and challenges around big data integration, data engineering, and data operations to build end-to-end data pipelines. 
  • Assemble large, complex data sets, developing data ingestion, data processing and analytical pipelines for big data, and data warehouse solutions to meet functional / non-functional requirements.
  • Orchestrate, Automate and maintain, and testing of Data Pipelines. Expanding and optimizing our data and data pipeline architecture, as well as optimizing data collection and data flow. 
  • Development of data tools for exploration and monitoring that support downstream teams to build data products.
  • Work with value centers and business partners, to assist with data-related technical issues and support the end-to-end production operations of data pipelines.

 

Profile:

 

  • A Bachelor's degree or higher within Computer Science
  • 5+ years of experience working with structured and unstructured big data sets.
  • Strong experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Sound knowledge of Data Warehousing concepts, Data model, and big data lake environment(s)
  • Good understanding of Microsoft Azure services like Azure Data Factory, Azure Data Lake Storage, Azure Data Bricks, Azure SQL Databases, and Azure Synapse (SQL DW).
  • Proven experience in data analysis and writing data processing rules for ETL/ELT/ process in a warehouse environment
  • High levels of energy and enthusiasm to work in a dynamic environment and work towards common objectives.

 

We offer:

 

  • Stable company background and long-term working possibility
  • Full of challenges and high-level professional activities at an international company
  • Participation in international projects and commission to foreign countries
  • Career opportunities, continuous training program and language courses
  • Competitive salary and performance-related bonus
  • Cafeteria with optional elements
  • Home office work
  • School start support

 

Be part of our ZF team as Data Engineer and apply now!

Contact

Katalin Vladár

 

 

DIVERSITY COMMITMENTTo harness the power of innovation, we invest in the development of diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to our company.Our company is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with us and are in need of accommodation or special assistance to navigate our website or to complete your application, please contact us. Requests for reasonable accommodation will be considered on a case-by-case basis.ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.Equal Employment Opportunity/Affirmative Action Employer M/F/Disability/Veteran

Our Commitment to Diversity

ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.


Job Segment: Database, Engineer, Warehouse, Computer Science, SQL, Technology, Engineering, Manufacturing