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Data Engineer

Bynder

Skills

Required

  • Data Mesh
  • Data Governance
  • data pipelining
  • Spark
  • Kafka
  • Data Engineering
  • infrastructure-as-code
  • Terraform
  • Designing Data Platforms
  • data/task orchestration
  • Airflow
  • Data Lineage best practices
  • AWS
  • S3

Preferred

  • data architecture
  • cloud
  • data pipelines
  • self-serve data tools
  • design data platforms
  • AI Native development

Bynder as a Data Engineer and play a crucial role in developing data pipelines and building self-serve data tools for internal stakeholders and customers. You will work closely with Data Analysts, Data Scientists, Software Engineers, and DevOps Engineers, and see the direct impact of your work on improving the Bynder product, growing the customer base, and providing insights to internal stakeholders.

Responsibilities

  • You will also take a leading role in improving our data architecture, developing and maintaining our data platform infrastructure in the cloud, and supporting the entire Product & Engineering organization in their data needs.
  • Develop and maintain data pipelines and self-serve data tools for internal stakeholders and customers.
  • Take a leading role in the improvement of data architecture by applying Data Mesh principles and implementing data governance practices.
  • Collaborate with cross-functional teams to design data platforms, make architectural decisions, and support data needs across the organization.
  • Experienced fully in AI Native development

Cloud computing-based data cloud solutions (Snowflake)

  • Partnering with cross-functional teams of engineers, data scientists and devops in defining a modern data architecture
  • Developing data flows for the processing of data at scale

Requirements

  • Using industry standard data pipelining tools (Spark, Kafka)
  • Minimum of 5+ years of Data Engineering experience and furthermore hands-on experienced in:
  • Using infrastructure-as-code solutions (Terraform)
  • Designing Data Platforms and taking architectural decisions, leading the way towards better data ecosystems
  • Knowledge and experience in Data Mesh

Using data/task orchestration tools (Airflow)

  • Knowledge and experience in Data Governance and Data Lineage best practices
  • Working with AWS (S3, Glue, Athena, EMR, etc.)
  • A growth mindset and the determination to improve yourself and others
  • Great communication skills in English
  • A critical thinking mindset and the courage to speak your mind