5 of 5 Remote/Hybrid Airbyte Jobs in London

Lead Data Engineer

Hiring Organisation
Liberis
Location
London, United Kingdom
Salary
£ 80 K
Modern Data Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration).Strong Python programming - you write clean, testable, maintainable code with solid error ...

Data Engineer - Data & Insights

Location
Greater London, England, United Kingdom
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 ...

Data Engineering Lead

Hiring Organisation
YLD
Location
London, United Kingdom
Salary
£ 80 K
efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into ...

Lead Consultant UK | GCP | Data & AI/ML Pre-Sales Architect

Hiring Organisation
Devoteam
Location
London, United Kingdom
Salary
£ 70 K
pipelines for data and ML projectsCoding/scripting skills required, e.g. Python, Go, C(++)Experience with DBT and/or DataformExperience with Dagster, airbyte, Fivetran and/or HightouchSoft skills:Display the ability to present to both business and technical stakeholdersBuild relationships with customers to influence their long-term ...

Staff Analytics Platform Engineer

Location
Greater London, England, United Kingdom
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 ...