Senior Data Engineer (mwx)

We build the perfect shopping companions!

We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time : during the planning and execution of their household shopping.

About this role

Youll shape how Bring! Labs structures and delivers data at scale. Your primary focus : designing building and operating a dbt-based data architecture on AWS starting with migrating our current pipelines.

This means youll :

• Design the target data architecture establishing modeling patterns and transformation standards
• Lead the migration of existing pipelines to dbt improving and consolidating the current solution
• Define own and document data contracts between source systems and downstream consumers
• Partner with product and operations teams to translate business needs into scalable data models
• Build for self-service enabling teams across the company to access and trust the data they need

Youll work with data from millions of active users so decisions you make will have a real impact on how we understand our product and serve our customers.

Requirements

We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with solid experience in data architecture and with a proven track record of building data platforms that serve real business needs.

You are the right fit if you have :

Nice to have :

Benefits

At Bring! Labs we value a professional and open work culture where diverse perspectives and backgrounds are welcome. We offer you an amazing workplace where you can make a direct impact and grow your career. Additionally we provide :

We welcome applications regardless of nationality ethnic background age sexual orientation gender disability or family situation. We also encourage applications from individuals returning to the workforce.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Employee

Experience : years

Vacancy : 1