Data Engineer
Solliciteren
Plaats
Brussel1000
Brussel
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-02-18Online to:
2026-04-19EUR 15.00 HOUR
Data Engineer
- AARK Tech Solutions GmbH
- Brussel
- 2 dagen geleden
Position Overview
We are seeking an experienced Transformation Speed Layer Engineer to join our data engineering team. The successful candidate will be responsible for designing, developing, and maintaining large-scale data pipelines and architectures that enable fast and reliable data transformation and processing.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and architectures for fast data transformation and processing
Collaborate with cross-functional teams to identify and prioritize data transformation requirements
Ensure data quality, integrity, and security across data workflows
Work closely with data scientists and analysts to optimize data models and algorithms
Optimize performance, scalability, and reliability of data pipelines
Develop and maintain technical documentation
Required Qualifications & Skills
Bachelor's degree in Computer Science, Engineering, or related field
Minimum 5 years of experience in data engineering or software development
Technical Skills (Must Have)
PySpark and Java
Data Modelling, Data Ingestion, Data Warehousing
Real-time Services: Kafka, Spark Streaming, Flink
Distributed Processing: Hadoop, HDFS, Cloudera, Hive
Experience working on Azure platform
Good to Have
Experience with Apache Beam, Apache Spark, or similar processing technologies
Experience with cloud platforms (Azure, AWS, Google Cloud)
Experience with containerization technologies (e.g., Docker, Kubernetes)
Familiarity with Machine Learning and Data Science concepts
We are seeking an experienced Transformation Speed Layer Engineer to join our data engineering team. The successful candidate will be responsible for designing, developing, and maintaining large-scale data pipelines and architectures that enable fast and reliable data transformation and processing.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and architectures for fast data transformation and processing
Collaborate with cross-functional teams to identify and prioritize data transformation requirements
Ensure data quality, integrity, and security across data workflows
Work closely with data scientists and analysts to optimize data models and algorithms
Optimize performance, scalability, and reliability of data pipelines
Develop and maintain technical documentation
Required Qualifications & Skills
Bachelor's degree in Computer Science, Engineering, or related field
Minimum 5 years of experience in data engineering or software development
Technical Skills (Must Have)
PySpark and Java
Data Modelling, Data Ingestion, Data Warehousing
Real-time Services: Kafka, Spark Streaming, Flink
Distributed Processing: Hadoop, HDFS, Cloudera, Hive
Experience working on Azure platform
Good to Have
Experience with Apache Beam, Apache Spark, or similar processing technologies
Experience with cloud platforms (Azure, AWS, Google Cloud)
Experience with containerization technologies (e.g., Docker, Kubernetes)
Familiarity with Machine Learning and Data Science concepts
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