The ad says“Using data/task orchestration tools (Airflow)”
The ad says“Working with AWS (S3, Glue, Athena, EMR, etc.)”
The ad says“Working with AWS (S3, Glue, Athena, EMR, etc.)”
The ad says“Knowledge and experience in Data Governance and Data Lineage best practices”
The ad says“Knowledge and experience in Data Governance and Data Lineage best practices”
The ad says“Knowledge and experience in Data Mesh”
The ad says“Designing Data Platforms and taking architectural decisions, leading the way towards better data ecosystems”
The ad says“Working with AWS (S3, Glue, Athena, EMR, etc.)”
The ad says“Working with AWS (S3, Glue, Athena, EMR, etc.)”
The ad says“Using industry standard data pipelining tools (Spark, Kafka)”
The ad says“Working with AWS (S3, Glue, Athena, EMR, etc.)”
The ad says“Cloud computing-based data cloud solutions (Snowflake)”
The ad says“Using industry standard data pipelining tools (Spark, Kafka)”
The ad says“Using infrastructure-as-code solutions (Terraform)”
Values
The ad says“Experienced fully in AI Native development”
As a Data Engineer at Bynder you will work closely with Data Analysts, Data Scientists, Software Engineers and DevOps Engineers, and anyone who uses data driven insights in their work
We are looking for someone who will help us develop data pipelines and build self-serve data tools for our internal stakeholders and customers. In this role you will see the direct impact of your work on our initiatives in improving the Bynder product, growing the customer base, and providing insights to our internal stakeholders
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
Benefits
Hybrid, remote & flexible options
Comprehensive health plans
Pension/401(k)
Generous parental and family leave
Unlimited holidays
Travel allowance
Bynder clubhouses - a safe space to create and maintain a strong sense of togetherness, foster innovation, and enjoy focus time when things get hectic at home
Leadership academy
StrengthsFinder assessment
Access to LinkedIn Learning
Mentorship program, as well as summer & winter school workshops
Feedback culture, role scorecards and OKRs
Preferred experience
Experienced fully in AI Native development
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)
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
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
