United Kingdom•United States
Remote
Senior
Full Time
💰$90,300 - $231,900
remoteseniordata_engineerAImachine_learning
Requirements
- •Ability and/or willingness to use Camunda’s product
- •5+ years of Data Engineering or ML experience
- •Strong data modeling skills and several years of experience with dbt
- •Ownership mindset: we’re a small team and proud of our accomplishments
- •Experience in deploying, operating, and evolving data pipelines in the cloud (batching and streaming)
- •Knowledge of Infrastructure as code tools such as Tarraform
- •Strong communication skills, enjoys sharing knowledge and learning collaboratively
- •Passion for clean code, adept at writing automated tests to maintain codebase quality and product excellence
What You'll Do
- •Work with different producers to build the pipelines that bring data from source systems into the warehouse
- •Manage parts of the warehouse and orchestrate the transformation layer
- •Build and productionize ML models; the feature and training pipelines, serving/inference and monitoring behind them
- •Lead architectural enhancements to the data infrastructure to optimize data warehouse performance for efficiency and scalability
- •Independently ship large-scale data products
- •Enhance CI/CD processes with a focus on data quality testing
- •Drive continuous improvement in product quality, security, and performance
Benefits
- •Remote & Flexible work from anywhere with home office budget, co-working space support, and flexible time off
- •In Person Connection through Annual Kickoff, team offsites, and Camundi Connection Budgets
- •Health & Wellbeing with locally tailored healthcare, Modern Health for global mental wellbeing, and Live Well Lifestyle Spending Account (LSA)
- •Financial Security with retirement and pension plans, life and disability insurance where relevant
- •Professional Growth with up to $/€/£1,000 per year for self-driven learning
About Camunda
Camunda enables organizations to orchestrate and automate processes to overcome complexity, increase efficiency, and operationalize AI.
Berlin, Germany
500-1000
IT Services & Consulting