Data Engineer

Location
Malta
Salary
€30,000 - €50,000
Contact
Jordan Doughty
Job Ref
500339
  • Experience in ElasticSearch
  • Experience in NiFi
  • Experience in real time data
The Company My client is the biggest sports-betting operator in Germany. Driven by their core values of passion, progress and trust to secure the best possible product for their users.  
The Role
  • You will create and maintain both batch (ETL) and real-time data pipelines and architecture
  • You assemble large and complex data sets that meet functional and non-functional business requirements
  • You identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • You build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
  • You build analytics tools that utilize the data pipelines to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Collaborate with stakeholders including data architects, Executive, Product, Data and IT team members from the beginning to the delivery of a project
 
 
The Candidate
  • You have at least 3 years of relevant work experience
  • You have strong analytics skills and the ability to innovate and think out of the box
  • You are able to learn new and complex concepts quickly and you are relentlessly resourceful and scrappy
  • You are collaborative, able to engage in interactive discussions with the rest of the team and able to communicate technical concepts clearly and concisely
 
  • You are familiar with cloud data services such as AWS services such as S3, Athena, EC2, RedShift, EMR, and Lambda
  • You have experience with large-scale production databases and SQL
  • You have experience with time-series/analytics databases such as Elasticsearch
  • You are experienced with ETL development (extractions, data load, aggregation, Talend, etc.)
  • You have worked with or familiar with big data technologies such as Hadoop, NIFI, Kafka, Spark, and Logstash
  • You have familiarity with containerization and orchestration technologies like Docker/Kubernetes
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Jordan Doughty
Associate Consultant
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