176 to 200 of 281 Apache Airflow Jobs in London

infrastructure. Well versed and proven experience in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem-solving skills and ability to work in a fast‐paced environment. Excellent communication and collaboration skills. Longstanding experience ...

scalable data pipelines and architectures across diverse business functions to support data collection, storage, and analytics. You will work with Python, SQL, Spark, and Airflow, enabling trusted data flows, data modeling, and data-driven insights for cash forecasting and fund movement. Strong collaboration with data scientists and stakeholders ...

reporting systems, ensuring data is accurate, timely and trusted. You’ll own data models, contracts and quality checks, work with Kafka, dbt and Airflow, and partner with engineers, product and compliance to scale a regulated data platform. #J-18808-Ljbffr ...

ingestion to data products, focusing on reliable, scalable architectures. You'll work with SQL, Python, and cloud warehouses (BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, Prefect, Dagster) while collaborating with analytics, data science, and product engineering to deliver impact across the organization. #J-18808-Ljbffr ...

analytics and governance while promoting self-service insights for business users. Key skills include data lakehouse design (Iceberg), AWS/Azure data services, dbt, Airflow, and BI/dashboard experience. The role emphasizes automation, quality, and collaboration with architects. #J-18808-Ljbffr ...

live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud & BI Stack: Practical exposure to GCP (BigQuery), Airflow, or Looker . AI Tooling: Familiarity with Claude Code, OpenAI, Cursor , or agentic workflows to accelerate delivery. Compliance & Domain: Prior experience with FCA reporting ...

live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud & BI Stack: Practical exposure to GCP (BigQuery), Airflow, or Looker . AI Tooling: Familiarity with Claude Code, OpenAI, Cursor , or agentic workflows to accelerate delivery. Compliance & Domain: Prior experience with FCA reporting ...

Hands-on experience with building and deploying data pipelines, gained through internship, academic, or personal projects Familiarity with modern infrastructure (CI/CD, Kafka, Airflow) Excellent communication and collaboration skills Detail orientated, with a commitment to best engineering practices The ability to prioritise, plan and deliver to projects ...

happens next. Technical Mastery: You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve ...

narratives Entrepreneurial mentality: You can take work beyond the analysis and drive outcomes. Useful additional experience: Experience in Fintech domain Knowledge of utilities like Airflow/Github/DBT Experience with user-facing products and data Please note: we are not able to offer visa sponsorship for this role ...

progress; evaluating the impact of what you shipped; recommending changes and new initiatives. Analytical thinker with strong analysis skills (SQL, Python), data modelling (e.g. Airflow, dbt) and experience using event data (e.g. Mixpanel). Bias to action: you identify what needs to be done and make it happen. ...

narratives Entrepreneurial mentality: You can take work beyond the analysis and drive outcomes. Useful additional experience: Experience in Fintech domain Knowledge of utilities like Airflow/Github/DBT Experience with user-facing products and data Please note: we are not able to offer visa sponsorship for this role ...

engineering skills in Python, with an understanding of how to write maintainable, testable code Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent Familiarity with CI/CD pipelines and how they apply to ML systems An understanding of ML lifecycle challenges - versioning, testing, monitoring ...

such as Gemini, Claude and OpenAI APIs. Hands‐on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar). Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring. Familiarity with ...

Qualifications WHAT YOU’LL BRING You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Looker. You're comfortable owning analytics from data transformation through to delivering actionable insights. You are commercially minded. Able to translate your ...

such as Gemini, Claude and OpenAI APIs. Hands-on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar). Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring. Familiarity with ...

alerts, and dashboards for data pipelines and ML systems based on established patterns. Contribute to platform capabilities that support data transformation (DBT), pipeline orchestration (Airflow/Astronomer), MLOps workflows including model versioning and deployment automation and much more Support platform users including data engineers, ML engineers, data scientists … creation, automation, and deployment processes Working knowledge of data transformation tools, particularly DBT, including model development and testing Understanding of data pipeline orchestration tools (Airflow/Astronomer/Azure Data Factory) Experience with observability and monitoring tools including New Relic or similar platforms Background in software development or platform ...

About this role: At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. You can’t spell “Data Orchestration” without “Data”, and we’re looking … data platforms from cloud-native component parts - we have a healthy mix of build vs. buy; sometimes building is the right choice. Experience with Apache Airflow. #LI-Hybrid At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion ...

Glass UK seeks a hands-on Technical Delivery Lead to drive engineering strategy for a scalable multi-tenant data integration platform built on Apache Airflow and Google Cloud. You will lead the delivery of production-grade ETL/ELT pipelines and cloud solutions, collaborating with cross-functional teams ...

3+ years experience working in version control environments using platforms such as Gitlab or Github 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/ ...

pipelines that ingest data from multiple vendor and internal sources, using Python and SQL. You will build standardized data models, schedule pipelines with Airflow, and implement validation and anomaly-detection controls while collaborating with portfolio managers, researchers, and data analysts to refine datasets and documentation. #J-18808-Ljbffr ...

Senior Data Engineer to design, build, and operate enterprise-scale data solutions. You will leverage Snowflake with hands-on Python, PySpark, AWS and Airflow to create scalable data platforms and robust analytics capabilities. The role emphasizes technical leadership, governance, and collaboration with cross-functional teams to deliver high-performance ...

governments worldwide. As a Senior Data Engineer, you’ll own ingestion and integration into BigQuery, manage Terraform infrastructure, and build reliable pipelines with Airflow and dbt. You’ll collaborate with Engineering, Product and Partnerships to enable governed self-serve data and safe reverse-ETL. You’ll lead data quality ...

partner with data scientists, ML engineers, and product managers to turn complex data challenges into reliable production systems. You’ll use dbt Core, Airflow, and BigQuery to build scalable pipelines and data marts, while applying DataOps practices and exploring AI tooling. #J-18808-Ljbffr ...

platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure ...