Data Engineer

The role

You will develop data pipelines and build self-serve data tools for internal stakeholders and customers. You will work with Data Analysts, Data Scientists, Software Engineers and DevOps Engineers to improve data architecture and platform infrastructure.

What you will do

• Take a leading role in the improvement of our Data architecture by applying Data Mesh principles.
• Develop, scale, maintain and deploy our data platform infrastructure in the cloud.
• Take a leading role in applying Data Lineage and Governance throughout the organisation.
• Support the entire Product & Engineering organisation in their data needs.
• Develop custom ETL pipelines, detect anomalies, and create optimised aggregations for analysis and dash boarding.

Required qualifications

• Minimum of 5+ years of Data Engineering experience
• Experienced fully in AI Native development
• Designing Data Platforms and taking architectural decisions
• Knowledge and experience in Data Mesh
• Knowledge and experience in Data Governance and Data Lineage best practices
• Developing data flows for the processing of data at scale
• Using industry standard data pipelining tools (Spark, Kafka)
• Working with AWS (S3, Glue, Athena, EMR, etc.)
• Using data/task orchestration tools (Airflow)
• Cloud computing-based data cloud solutions (Snowflake)
• Using infrastructure-as-code solutions (Terraform)
• Great communication skills in English

Benefits

• Challenging and inspiring work environment
• Learning and Development budget
• Commuting budget
• Mental Health and Well-being Support
• Bynder Love "stipend"
• Unlimited vacation policy
• Volunteer Time Off
• Team and Company activities
• Complimentary Lunches and Snacks

About the company

Bynder is a global team of 600+ people that provides a DAM platform for 4,000+ organizations. They enable brands to deliver content experiences and use AI-powered content orchestration.