6 of 6 Remote/Hybrid Airbyte Jobs in London

Python for building and maintaining data pipelines Experience with dbt or equivalent transformation frameworks, and with ETL/ELT tools such as Fivetran or Airbyte Experience designing and operating production data pipelines, including CI/CD practices for data and ML workflows Strong engineering fundamentals: version control, testing, monitoring ...

plus. Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: Fully Remote: Freedom to work from anywhere in the world with flexible core working hours. In-person Meetups and Regular ...

building things properly from scratch Nice‐to‐haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets ...

fintech company, ideally as the first data leader Hands‐on depth in the modern data stack: Snowflake or similar, dbt, managed ingestion (Fivetran, Airbyte) and a BI tool such as Metabase, Omni, Looker or Power BI Strong SQL and data modelling; you're happy to build hands‐on in year ...

components. Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability. Hands‐on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources. Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement. Strong platform architecture experience: Snowflake, dbt execution, semantic layers ...

person data team can support. Our data platform runs on Google BigQuery, with dbt Core for transformation, Airflow 3 on Cloud Composer for orchestration, Airbyte and custom Python pipelines for ingestion, Terraform for infrastructure and GitHub Actions for CI/CD. Some pipelines write back into live products … ingestion and integration – bring data into BigQuery from a varied source estate, including product databases, Contentful, HubSpot, Notion and LLM tracing tools, using Airflow, Airbyte and Python pipelines that fail loudly rather than silently. Run the data platform – operate orchestration, Terraform-managed infrastructure, containerised workloads and day-to-day BigQuery ...