Data Engineer M/F

Resumen del puesto
Indefinido
Brussel
Salario: 45K a 70K €
Unos días en casa
Experiencia: > 3 años
Formación: Licenciatura / Máster
Competencias y conocimientos
Contenido generado
Java
Kubernetes
Nosql
Mongodb
Scala
+11

LittleBigCode
LittleBigCode

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El puesto

Descripción del puesto

As a consultant within our agile team, you’ll leverage your expertise to provide strategic guidance, working closely with customers and internal experts to drive lasting improvements and operational excellence.

Your work will focus on the following areas:

  • Design and build data pipelines to collect, process, and store large datasets.

  • Ensure data quality and integrity by implementing validation and cleaning processes.

  • Optimize data storage solutions for efficient querying and analysis (e.g., databases, data lakes).

  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable solutions.

  • Implement data integration strategies to connect disparate data sources and provide unified data access.

  • Monitor and maintain data infrastructure to ensure performance, scalability, and reliability

  • Advise on best practices for data governance, security, and compliance.

  • Participation in the development of internal solutions


Requisitos

Who are you?

  • You have a Master in engineering (Computer Science, Mathematics, Statistics…) and have at least 3 years of experience as a Data Engineer!

  • You are fully proficient with one of the following languages: Python, Java,
    JavaScript

  • You are familiar with Big Data tools such as Databricks, Spark, Scala, Kafka, Flink

  • You have experience working with at least one major Cloud Provider (Azure, AWS, GCP) and with the different Database types

  • You have a good knowledge of SQL and NoSQL databases such as GCP BigQuery,’ PostgreSQL, Cassandra, MongoDB

  • You should be proficient in modern DevOps technologies. Specifically, you should have hands-on experience with at least one key tool-such as Kubernetes, Terraform, or Helm

  • Fluent in English + in Dutch and/or French


Proceso de selección

  1. A first discussion with the recruitment team

  2. A technical interview with a Data Product Manager from our team

  3. A final discussion to answer any last questions and present your financial package

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