Posted 10 months ago

Brainbox Consulting BV aligning great talent with clients’ needs is at the core of who we are. We are passionate about our Consultants, our Clients, and our Partners. Our rich IT legacy combined with our unyielding care for our people and business is the driving force behind all we do, and we deliver!

On this journey, we are looking for a passionate and experienced Data Engineer with strong leadership skills.

Required Skills

  • Proven experience as a Data Engineer or similar role in software development creating data intensive applications and platforms.
  • Experience with DBT (Database Build Tool), with a solid understanding of database structure, theories, principles, and best practices.
  • Strong experience with Azure cloud services, including administration, deployment, and error diagnosis.
  • Strong knowledge of CI/CD pipelines and experience setting up CI/CD in a cloud environment.
    Expertise in Terraform and Infrastructure as Code (IaC).
  • Proven Experience in working with any one of the data engineering technologies like ADLS, ADF, Azure Databricks, Azure SQL, Synapse, SAP HANA, AWS.
  • Your experience in handling big data sets and big data technologies will be an asset.
  • Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Spark-SQL/ PySpark.
  • Very Good understanding in Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders
  • Experience in working with Agile, Kanban methodologies.
  • Able to run a sprint.
  • Educational Qualification University degree in any IT discipline Minimum 8+ years of experience in the IT industry

Nice to have Skills

  • Experience with big data tools: Kafka, Hadoop, Spark and similar technologies.
  • Experience with stream-processing systems.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow and more
  • Certification in Azure and/or AWS Generic

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