Senior Data Engineer Job at Randstad (Budapest)

Senior Data Engineer

Randstad

Location:
Hungary , Budapest

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a senior data engineer... You will have the autonomy to assess and decide on the best data architectures based on the unique needs of each business case. Whether transitioning from legacy data warehouse systems or building new data lake solutions, you will architect and implement scalable, robust data pipelines. You’ll be a vital member of our Business Analytics Support (BAS) team, serving multiple business departments, such as Safety, Security, and Crisis Management. Your expertise to deliver scalable, future-proof solutions, leveraging both structured and unstructured data. After crafting these solutions, you'll oversee their seamless operation and ensure their sustained performance. You'll do all this within an agile framework, preparing us for an impending cloud migration. Your contributions will be crucial in powering data marts and providing actionable insights to our customers through dashboards. You'll coach your junior teammates on a technical level.

Job Responsibility:

Assess and decide on the best data architectures based on the unique needs of each business case
Architect and implement scalable, robust data pipelines
Transition from legacy data warehouse systems or building new data lake solutions
Serve multiple business departments, such as Safety, Security, and Crisis Management
Deliver scalable, future-proof solutions, leveraging both structured and unstructured data
Oversee seamless operation and ensure sustained performance of solutions
Work within an agile framework, preparing for an impending cloud migration
Power data marts and provide actionable insights to customers through dashboards
Coach junior teammates on a technical level

Requirements:

Bachelor degree or higher in Computer Science, Software Engineering or other relevant fields (less important considering work experience)
At least 5 - 10 years of experience building production-grade data processing systems as a Data Engineer
In-depth knowledge of: Cloud platforms like GCP (must have) and Azure (good to have)
The Hadoop ecosystem
Building applications with Apache Spark
including Spark Streaming
Columnar storage solutions like Apache HBase
including knowledge about data modelling for columnar storage
Experience with Event Streaming Platforms like Apache Kafka
Experience with 2 or more server-side programming languages, e.g. Python, Java, Scala (Good to have), etc.
Understanding of common algorithms and data structures
Experience with databases and SQL
Experience with conceptual, logical and physical data modelling
Knowledge of continuous integration/continuous deployment techniques
Affinity with Machine Learning and/or Operations Research concepts

Nice to have:

Cloud platform Azure
Scala

What we offer:

Competitive compensation package (cafeteria plan, home office support, bonus, discounted airline tickets)
Flexible working hours
Option to work from home 4 days a week
Professional training opportunities
Language courses
Motivating, friendly, and supportive team

Additional Information:

Job Posted:
February 07, 2026

Expiration:
March 04, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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