time of growth. Requirements: 4+ years of experience as a Data Engineer ( or Analytics Engineer) 4 + years experience with PostgreSQL Good experience with a mainstream BI technologies (ideally Metabase) Experience with Python A Self-starter (not generic requirement, joining a start up, so will be working with multiple stakeholders and pro-actively managing end to end projects). More ❯
time zones. Strong communication skills with demonstrated executive presence and stakeholder alignment. Preferred Operational Stack/Tools Project & Ops Tools: Notion, Jira, Asana, Airtable, Monday.com Data & BI Tools: Tableau, Metabase, Google Data Studio DevOps Familiarity (Plus): Kubernetes, CI/CD, infrastructure monitoring Web3 Ecosystem Tools: Etherscan, Tenderly, The Graph, Cosmos Hub AI Ops Stack (Plus): MLflow, Weights & Biases, Ray Serve More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Enertek Group
time zones. Strong communication skills with demonstrated executive presence and stakeholder alignment. Preferred Operational Stack/Tools Project & Ops Tools: Notion, Jira, Asana, Airtable, Monday.com Data & BI Tools: Tableau, Metabase, Google Data Studio DevOps Familiarity (Plus): Kubernetes, CI/CD, infrastructure monitoring Web3 Ecosystem Tools: Etherscan, Tenderly, The Graph, Cosmos Hub AI Ops Stack (Plus): MLflow, Weights & Biases, Ray Serve More ❯
architecture, data modeling, and database management. Strong understanding of cloud-based data solutions. Experience with the tools we work with, or other equivalent ones (dbt, BigQuery, Stitch, Segment, Fivetran, Metabase, Apache Airflow). Education A bachelor’s degree in a relevant field such as Computer Science, Information Technology, Data Science, Engineering (e.g., Computer Science Engineering), Mathematics, or Statistics. *** Only successful More ❯
architecture, data modeling, and database management. Strong understanding of cloud-based data solutions. Experience with the tools we work with, or other equivalent ones (dbt, BigQuery, Stitch, Segment, Fivetran, Metabase, Apache Airflow). Education A bachelor’s degree in a relevant field such as Computer Science, Information Technology, Data Science, Engineering (e.g., Computer Science Engineering), Mathematics, or Statistics. *** Only successful More ❯
managing various budgets across multiple platforms. Deep expertise in paid search, social, and display programmatic Strong analytical skills and experience utilising tools such as Google Analytics, Excel, Looker, or Metabase Familiarity with attribution models and data tracking (e.g. MMPs like AppsFlyer) Exceptional communication skills and the ability to collaborate across different areas of the business. Passion for experimentation, growth, and More ❯
React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as the data warehouse, with Metabase for data visualisation. Production data and Posthog events both stream into it so data is in one place Sentry and Google Cloud Logging for monitoring Github Actions for CI/ More ❯
React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as the data warehouse, with Metabase for data visualisation. Production data and Posthog events both stream into it so data is in one place Sentry and Google Cloud Logging for monitoring Github Actions for CI/ More ❯
illustrator, and/or have experience with animation We use these tools and expect you to have familiarity with most of them: Figma Illustrator Data/analytics: Segment, Hex, Metabase, Mixpanel, Google Analytics Benefits Fully remote, flexible work day Flexible paid time off including holidays that are most meaningful to you Parental leave for all parents Employee-friendly equity terms More ❯
