Our client is an EU-based retailer specializing in the distribution of parts and accessories for material handling, industrial, construction, and agricultural equipment worldwide, is currently undergoing a digital transformation. As part of this transformation, the client is keen to integrate IT capabilities that can effectively bolster its existing analytical functions and cater to emerging use cases, all while collaborating closely with its technology teams.

Responsibilities

Develop and maintain data platforms
Integrate different data sources into data platforms
Collaborate with the team to optimize and enhance data platforms' performance
Build and maintain scalable and robust data pipelines
Write and maintain code, primarily using Java 8 and Kafka Streaming and Connect
Provide recommendations on best practices for data engineering projects

Requirements

3+ years of hands-on experience in Data Software Engineering
Expertise in Apache Kafka, Apache Spark, Fivetran, Google Cloud BigQuery, Google Cloud Dataflow, and Kafka Streaming and Connect
Experience working with REST API, Oracle Cloud and Salesforce Data Integrations, Java or Scala, and Spark Streaming
Good communication skills and willingness to communicate
Upper-Intermediate level of English, both spoken and written (B2+)