big data engineer (hadoop, hive) in athens

maria kassotaki, randstad hellas
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job details

athens, attica
information technology
job type
reference number
maria kassotaki, randstad hellas
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job description

This is a unique opportunity for Senior Big Data Engineers with experience in hadoop, to work on large scale projects. Do you have experience in data management and data architecture in a big data environment? Then keep reading...!

What will you be doing?

  • You will be the person responsible for managing the end-to-end delivery of data–centric projects and ETL development for Big Data Platforms
  • You will lead a small team responsible for architecture, design, development, testing, and implementation of applications and ETL for Big Data technology stack for a variety of data driven projects ranging from analytics, warehouse to operational
  • You will collaborate with business and technology teams to gather complex business requirements, analyse them and take the lead to design data architecture solutions in compliance with firm wide data management principles and security controls for Big Data Environment consisting of Hadoop, Hbase, Spark, Kafka, Impala etc.
  • You will develop, lead and coordinate communications and relationships across multiple IT and product teams.


  • safe & stable work environment
  • work within the banking, telecoms or EU sector
  • training/certifications
  • exposure to large scale projects
  • private medical insurance


  • Solid working experience of minimum 3-4 years in programming and development of scalable enterprise applications using Java J2EE, Scala or Python, Web Services
  • At least 2 years of hands on experience working with Data Management and Data Architecture in a big data environment
  • Excellent knowledge in Hadoop technology stack (Hive, Yarn, MapReduce, Spark, Impala, HBase, Sentry, Flume and Kafka), NoSQL (e.g. Mongo db), Elasticsearch and Docker 
  • Experience in building end-to-end solution to migrate Enterprise Data Warehouse on relational databases to Hadoop platform
  • Working knowledge of is highly appreciated
  • Hands-on in coding and able to provide guidance to the team with best practices and design principles
  • Experience in architecture and development of data integration pipelines using a combination of streaming and batch processing techniques
  • Excellent communication skills in Greek and English


Feel free to reach me at or at 2166001346.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​ All applications are considered strictly confidential.