101 to 125 of 227 Apache Airflow Jobs in London

BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow and orchestration tools • Strong communication and stakeholder management skills • Familiarity with GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of More ❯

BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow and orchestration tools • Strong communication and stakeholder management skills • Familiarity with GitHub for version control and documentation Bonus Points For: • Python skills • Knowledge of More ❯

Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in ETL/ELT development and data pipeline orchestration (Databricks Workflows, DLT, Airflow, ADF, Glue, Step Functions). You're proficient in SQL and Python, using them to transform and optimize data. You know your way around More ❯

analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks More ❯

data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and scripting More ❯

development lifecycle and agile methodologies. Proven experience designing, developing, and deploying machine learning models. Experience with debugging ML models. Experience with orchestration frameworks (e.g. Airflow, MLFlow, etc). Experience deploying machine learning models to production environments. Knowledge of MLOps practices and tools for model monitoring and maintenance. Familiarity with More ❯

data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and scripting More ❯

data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development & DevOps: Strong programming and scripting More ❯

related finance-related degree. Experience with equity or fixed income derivatives volatility models for risk and trading systems. Experience with data engineering frameworks like Airflow, Luigi or Dagster. Experience developing financial model libraries in Python, Java, or C++ Experience with risk and optimization tools such as Aladdin, RiskMetrics, Barra More ❯

collaborate effectively across teams. Bonus Points For: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). Experience with specific orchestration tools (e.g., Airflow, dbt). Experience working in Agile/Scrum development methodologies. Experience with Big Data Technologies & Frameworks Join Us! This role can be based in More ❯

requirements impact analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Proficiency in tools such as Snowflake, DBT, Glue, and Airflow, you will help define the technical strategy and ensure scalable, high-performing data architecture Your Profile Essential skills/knowledge/experience: Extensive experience More ❯

sky is never the limit. We are looking for talented Principal Data Engineers with deep technical data platform engineering skills including SQL, AWS, Snowflake, Airflow, Git, and Python. As a Principal Data Engineer, you'll serve as a technical lead overseeing Senior Data Engineers, driving industry best practices to More ❯

routine issues and identify improvements in the testing and validation of data accuracy. Extensive experience with Snowflake is essential and working knowledge of DBT, Airflow and AWS is highly desirable. Strong background developing, constructing, testing, and maintaining practical data architectures and drive improvements in data reliability, efficiency, and quality. More ❯

experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is at an inflection point. As the market leader in Shopify reviews, we've chosen to build More ❯

and prompt-based LLM workflows using containerised services. Ensure reliable model integration across real-time APIs and batch processing systems. Pipeline Automation & MLOps Use Apache Airflow (or similar) to orchestrate ETL and ML workflows. Leverage MLflow or other MLOps tools to manage model lifecycle tracking, reproducibility, and deployment. … on experience with containerisation using Docker and Kubernetes. Proven experience deploying ML models into production, ideally in real-time or SaaS environments. Familiarity with Airflow, MLflow, and modern MLOps/LLMOps tooling. Practical experience with cloud platforms, preferably Microsoft Azure. Strong problem-solving skills, attention to detail, and the More ❯

the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/ More ❯

the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up to 95,000 (Depending on experience/ More ❯

the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/ More ❯

the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/ More ❯

and ML scientists to plan the architecture for end-to-end machine learning workflows. Implement scalable training and deployment pipelines using tools such as Apache Airflow and Kubernetes. Perform comprehensive testing to ensure reliability and accuracy of deployed models. Develop instrumentation and automated alerts to manage system health More ❯

patterns and delivery practices Continually improve with our internal development program, including mentoring and paid training/certifications Skills Data Modelling - SQLDBM Snowflake AWS Airflow DBT Note: Experience in the energy industry is highly advantageous. More ❯

patterns and delivery practices Continually improve with our internal development program, including mentoring and paid training/certifications Skills Data Modelling - SQLDBM Snowflake AWS Airflow DBT Note: Experience in the energy industry is highly advantageous. More ❯

commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯

commodities markets (e.g., oil, gas). The PM is keen to get someone from a data engineering background. Tech: Python, SQL, Pandas, AWS, ETL, Airflow Please apply if this fits. More ❯

years of commercial experience as a Data Engineer. Proven experience using Python, Spark, AWS & Databricks. Prior experience using some of the following; Docker/Airflow/Terraform. Solid experience in CI/CD and Software Engineering best practice. Experienced in building robust and scalable data pipelines. HOW TO APPLY More ❯