best practices: Git, version control, CI/CD, testing Confident communicator with the ability to work effectively across technical and non-technical teams Bonus Points For: Experience with Airflow, Airbyte, or other orchestration tools Familiarity with ingestion tools like Fivetran Experience working with Spark or distributed computing systems Exposure to AWS and broader cloud infrastructure Knowledge of reverse ETL workflows More ❯
modern data warehouses (e.g., Snowflake, BigQuery, Redshift). Hands-on experience with advanced modelling techniques in dbt. A deep understanding of ETL/ELT processes and tools (e.g., Fivetran, Airbyte, Stitch). Experience with data visualisation tools (e.g., Mode, Looker, Tableau, Power BI) and designing robust BI semantic layers. Exceptional understanding of data warehousing principles, dimensional modeling, and analytics best More ❯
inform strategic decisions both at the Board/Executive level and at the business unit level. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset Work closely with stakeholders across the company to gather data requirements and setup dashboards Promote a data driven culture at Notabene and train, upskill power More ❯
much more. We are technology agnostic (but opinionated!) and work across all major cloud providers. Depending on client choice we may either leverage third party tools such as Fivetran, Airbyte, Stitch or build custom pipelines. We use the main data warehouses for dbt modelling and have extensive experience with Redshift, BigQuery and Snowflake. Recently we've been rolling out a More ❯
and pipeline development Experience with IaC tools such as Terraform or Ansible for deployment and infrastructure management Hands-on experience with; ETL/ELT orchestration and pipeline tools (Airflow, Airbyte, DBT, etc.) Data warehousing tools and platforms (Snowflake, Iceberg, etc.) SQL databases, particularly MySQL Desired Experience: Experience with cloud-based services, particularly AWS Proven ability to manage stakeholders, their expectations More ❯
Prior experience or interest in working with geospatial data Technologies we use ️ Programming languages: SQL, Python, LookML, (+ Go for other backend services) Development tools and frameworks: dbt, dagster, Airbyte, dlt, data-diff, Elementary Data lake and warehouse: GCS, BigQuery Analytics: Looker, Looker Studio and geospatial analytics tools How we reward our team Dynamic working environment with a diverse and More ❯
Prometheus. We're in the process of transitioning to OpenTelemetry and Honeycomb for our application telemetry (traces and metrics). - We manage a data pipeline using Pub/Sub, Airbyte, and dbt. Our Current Focus We're currently driving a big shift in how we think about and monitor reliability across the engineering organisation, with a focus on early detection More ❯
