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Data Engineer

Date:  Sep 23, 2025
Req ID:  101820
Location: 

Budapest, Central Hungary (Közép-Magyarország), HU

Workplace Type:  Hybrid/Remote
 

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world. Join our extraordinary team today!   

 

This Data Engineer position is an entry-level Data Engineer role. The Data Engineer I role in Analytics and Automation team (Customer Digital Experience Department) is responsible for preparing and converting raw data to analytics-ready data. The Data Engineer will apply data enablement processes for proof of concept and prototype projects in the following data domains: machine telemetry (IoT data), customer and technical data.  

   

The Data Engineer has 3 keys responsibilities:  

1) building data connections and pipelines,  

2) collaborate and prepare data with Data Scientists, and other business stakeholders across the company  

3) identify and maintain data quality and processing improvements opportunities. 

 

Your Impact 

  • Designs and implements data pipelines to collect, process, and transform data based on project requirements, ensuring reliable and scalable data flow.  

  • Builds and optimizes infrastructure for data ingestion, processing, and enrichment—leveraging existing datasets while performing cleansing, normalization, hashing, and applying necessary data model updates.  

  • Integrates data from multiple sources to prepare unified datasets for advanced analytics, including prescriptive and predictive modeling.  

  • Identifies and addresses data quality issues proactively, analyzing datasets to detect anomalies, uncover trends, and correlate related data sources.  

  • Diagnoses and resolves technical issues, applying root cause analysis and implementing effective solutions to maintain data integrity and pipeline performance. 

 

Your Experience and Qualifications 

  • Bachelor’s Degree in Computer Science or Information Technology or equivalent certifications  

  • Analytical software/language skills (Python, R, SQL)  

  • Distributed big data processing frameworks (Spark, Kafka)  

  • Experience with cloud and data related components such as AWS Glue, Athena, Step Functions, Lambdas, Redshift, RDS, Databricks, etc.  

  • Reporting & Visualization tools (Tableau) 

 

Your Benefits 

  • Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price.  

  • Attractive, fair remuneration including participation in our bonus scheme and reimbursement of commuting expenses    

  • Cafeteria system with additional elements you can pick from    

  • Balance of work, family, and free time due to flexible working opportunity and the possibility of hybrid/remote work including home office monetary allowance    

  • Private health insurance, dental services, and compensation for the purchase of computer monitor glasses    

  • Employee Assistance Program including professional counselling, webinars, sports challenges, and newsletters    

  • Development opportunities including monthly trainings held by the local training team and teacher guided language classes 

 

Your Workplace 

AGCO Shared Service Center (SSC) is located at Office Garden in the 11th district, in one of the most dynamically developing areas of Budapest providing global support to all AGCO global factories and sites in Finance, HR, IT, Purchasing, Customer Experience and Engineering functions. The office is easily accessible by car and public transport. Restaurants, cafés, and a shopping center are also located around the office. 

 

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.   

 

Join us as we bring agriculture into the future and apply now! 


Job Segment: Sustainable Agriculture, Cloud, Computer Science, Agricultural, Agriculture, Entry Level, Technology

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