14 of 14 Airbyte Jobs in London

clients Consulting experience Preferred Knowledge/Experience Experience with CI/CD and Infrastructure-as-Code (e.g., Terraform, CloudFormation). Familiarity with modern data stack components (e.g., dbt, Snowflake, Airbyte). Experience working in an Agile/Scrum environment. Knowledge of Python or Java/Scala for data engineering. Experience with version control systems (eg Git, CVS). Applicants will More ❯

DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products is advantageous. Excellent problem-solving skills, meticulous attention to detail, and ability to work independently or collaboratively. Effective communication and interpersonal skills to engage More ❯

DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products is advantageous. Excellent problem-solving skills, meticulous attention to detail, and ability to work independently or collaboratively. Effective communication and interpersonal skills to engage More ❯

managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines and applications to stream and process datasets Robust understanding of DevOps principles is required Experience managing More ❯

updates product fit recommendations and descriptions, powered directly by manufacturing data, helping brands reduce returns and improve their bottom line. Our Current Stack: Data Warehouse and Tools: DBT, Snowflake, Airbyte Languages: Python, TypeScript, Node.js , React Cloud & Infra: AWS (S3, ECS), Docker Orchestration: AWS Lambda and Step Functions CI/CD: GitHub Actions Analytics Layer: GoodData What You’ll Work On … Architecture Ownership: Help shape our dbt folder structure, model contracts, and naming conventions to support long-term maintainability across multi-tenant data products. Automation & Efficiency: Use orchestration tools like Airbyte, AWS Step Functions, and GitHub Actions to ensure seamless deployment of dbt runs and freshness checks. Cross-Team Collaboration: Act as the bridge between product, ML, and analytics, ensuring their … development with a focus on implementing multi-tenant, data-heavy systems, ideally in a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud & Infra: AWS (ECS, S3, Step Functions), Docker (Kubernetes or Fargate a bonus) Data Modelling : Strong grasp of transforming structured More ❯

updates product fit recommendations and descriptions, powered directly by manufacturing data, helping brands reduce returns and improve their bottom line. Our Current Stack: Data Warehouse and Tools: DBT, Snowflake, Airbyte Languages: Python, TypeScript, Node.js , React Cloud & Infra: AWS (S3, ECS), Docker Orchestration: AWS Lambda and Step Functions CI/CD: GitHub Actions Analytics Layer: GoodData What You’ll Work On … Architecture Ownership: Help shape our dbt folder structure, model contracts, and naming conventions to support long-term maintainability across multi-tenant data products. Automation & Efficiency: Use orchestration tools like Airbyte, AWS Step Functions, and GitHub Actions to ensure seamless deployment of dbt runs and freshness checks. Cross-Team Collaboration: Act as the bridge between product, ML, and analytics, ensuring their … development with a focus on implementing multi-tenant, data-heavy systems, ideally in a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud & Infra: AWS (ECS, S3, Step Functions), Docker (Kubernetes or Fargate a bonus) Data Modelling : Strong grasp of transforming structured More ❯

Ownership: As the subject matter expert for our data platform, you'll manage and enhance core components like DBT, Snowflake, AWS (S3, Kinisis, DMS, Step Functions, Dynamo CDC, Backup), Airbyte, Transcend, Segment and Looker. Holistic Understanding: Develop a deep understanding of our entire data platform to safely and effectively work across the data stack. User Collaboration: Work closely with platform More ❯

of the products and platforms that you are likely to come across at Tasman are: AWS, GCP and Azure cloud environments; Airflow and Prefect; Snowflake, BigQuery, Athena, and Redshift; Airbyte, Stitch, Fivetran, and Meltano; dbt (both Cloud and Core); Looker, Metabase, Tableau and Hollistics; Docker and Kubernetes; Snowplow, Segment, Rudderstack, and mParticle; Metaplane and other observability tools; Census and Hightouch. More ❯

scale datasets to derive actionable insights. Knowledge of data governance and metadata management. Experience with data cataloguing tools. Experience mentoring junior team members. Familiarity with modern data stack tools (Airbyte, Fivetran, etc.). EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment More ❯

data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently Are comfortable working autonomously and taking responsibility for the delivery of large technical projects Are eager to learn More ❯

data-focused backend services. Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s), and data pipelines (SQL, dbt, Airbyte). Love automation, process improvement, and finding ways to help others work efficiently. Are comfortable working autonomously and taking responsibility for large technical projects. Are eager to learn from others More ❯

and will have the opportunity to shape the roadmap for data workstreams and product optimization. We have two main priorities for the 2024 year: Migrate to new infrastructure (Snowflake, Airbyte, Segment, Select Star, Monte Carlo, dbt, various BI tools) to ensure we remain at the forefront of industry trends, revising existing processes, building a strong data model, and creating standards More ❯

infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. LLM Deployment: Experience with local (cloud) deployment of OpenSource LLM, like LLAMA, DeepSeek. Bonus Points: Experience with Airbyte and Elastic Search is a significant advantage. Working conditions Perks and Benefits: Fully Remote: Freedom to work from anywhere in the world with flexible core working hours. In-person Meetups 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 ❯