Loading...
SeniorFull-timeTypeScriptPythonRailsAWSAzureKubernetesDockerGraphQLCI/CDGit
Salary Range
$99,450 - $134,550 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Engineer to join our Foundations team at Multiverse, an upskilling platform for AI and Tech adoption. This role involves creating the technical foundations, including infrastructure, tools, and APIs that allow our entire company to access product data safely and efficiently.
Key Responsibilities
- →Take ownership of our data architecture, defining schemas for new entities and refactoring existing models to improve performance and clarity.
- →Create APIs and connectors that allow users to access data easily without needing deep infrastructure knowledge.
- →Build features in our Internal Developer Platform that make it easy to deploy and manage AI models.
- →Automate security and compliance checks so that data is classified and safe by default.
- →Design and develop services that wrap complex business logic into clean, reusable APIs.
- →Refactor legacy data scripts and coupled domains into robust, version-controlled services.
Requirements
- ✓A solid grasp of system design and data structures, coupled with foundational software engineering background.
- ✓Proficiency with cloud-native development (AWS or Azure) and containerisation (Kubernetes/Docker).
- ✓Experience with Cloud Data Warehouses (Snowflake/Postgres), Data Warehouse API (GraphQL).
- ✓Experience in data engineering, including building and maintaining data pipelines.
- ✓Experience implementing CI/CD (CircleCI/GitHub Actions/GitLab), automated testing, and Data Observability (Datadog).
- ✓Ability to articulate ideas clearly to both engineers and product partners.
- ✓Experience with platform engineering principles, prioritising usability, configurability, and long-term sustainability.
- ✓Interest or experience in building infrastructure for GenAI such as Vector Databases or MCPs.
