Senior Data Engineer

About the role

As a Senior Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the data infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and will make sure that the data from our PostgresDB instances with a very high amount of data is ingested live into BigQuery.

What you'll do

• Own the data ingestion streams for all of our client's DBs, from Postgres to BigQuery
• Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices
• Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency
• Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&D department, especially the DevOps team

What you'll need

• 3-5 years of experience in the Data Engineering / Data Ops field, ideally working on big data warehouse projects
• Familiarity with the modern data stack and ability to recommend, set up and maintain all different kinds of components from data ingestion to automation
• Experience with tools and technologies: Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions
• Experience with infrastructure / DevOps management technologies: ArgoCD, Kubernetes, Docker, Github, Postgres, GCP
• Commitment to applying data engineering best practices: consistency checks, testing data reliability, monitoring on ingestion pipelines

What they offer

• €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses
• 30 days of annual leave, plus extra paid days for your birthday and moving day
• Home office setup budget and monthly home office allowance
• Freedom to work from abroad for up to 90 days worldwide
• Mental health support with nilo.health and discounted Urban Sports Club membership
• 20% company subsidy on pension contributions