76 to 100 of 535 Apache Airflow Jobs in England

will lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering More ❯

will lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering More ❯

platform. What You’ll Get A key engineering role within a world-class technology organisation that values innovation and impact. Exposure to a modern data ecosystem including Iceberg, Kafka, Airflow, and other open-source technologies. A collaborative, intellectually curious culture where engineers are trusted to take ownership and drive outcomes. Excellent compensation package with strong performance incentives. What You More ❯

platform. What You’ll Get A key engineering role within a world-class technology organisation that values innovation and impact. Exposure to a modern data ecosystem including Iceberg, Kafka, Airflow, and other open-source technologies. A collaborative, intellectually curious culture where engineers are trusted to take ownership and drive outcomes. Excellent compensation package with strong performance incentives. What You More ❯

platform. What You’ll Get A key engineering role within a world-class technology organisation that values innovation and impact. Exposure to a modern data ecosystem including Iceberg, Kafka, Airflow, and other open-source technologies. A collaborative, intellectually curious culture where engineers are trusted to take ownership and drive outcomes. Excellent compensation package with strong performance incentives. What You More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication More ❯

perform optimally Tech Stack: Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration: Tool Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform More ❯

perform optimally Tech Stack: Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration: Tool Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform More ❯

communication skills — able to collaborate across technical and business functions. A passion for data-driven problem solving, innovation, and continuous improvement. ✨ Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

communication skills — able to collaborate across technical and business functions. A passion for data-driven problem solving, innovation, and continuous improvement. ✨ Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

communication skills - able to collaborate across technical and business functions. A passion for data-driven problem solving, innovation, and continuous improvement. Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

communication skills - able to collaborate across technical and business functions. A passion for data-driven problem solving, innovation, and continuous improvement. Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

communication skills — able to collaborate across technical and business functions. A passion for data-driven problem solving, innovation, and continuous improvement. ✨ Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

communication skills — able to collaborate across technical and business functions. A passion for data-driven problem solving, innovation, and continuous improvement. ✨ Nice-to-haves: Experience with data orchestration tools (Airflow, Prefect). Knowledge of data observability or cataloguing tools (Monte Carlo, OpenMetadata). Familiarity with large-scale consumer data or survey environments. More ❯

inclusive and collaborative culture, encouraging peer to peer feedback and evolving healthy, curious and humble teams. Tech Stack: Python, Javascript/Typescript, React/React Native, AWS, GraphQL, Snowflake, Airflow, DDD. This is an incredible opportunity for a Senior Software Engineer to join a unique company as they embark on a period of significant growth to take their fantastic More ❯

CD. Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent More ❯

CD. Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent More ❯

practices (testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS More ❯

practices (testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS More ❯

practices (testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS More ❯

business • Expert knowledge of modern cloud data platforms (Databricks, Snowflake, ideally AWS) • Advanced Python programming skills and fluency with the wider Python data toolkit • Strong capability with SQL, Spark, Airflow, Terraform, and workflow orchestration tools • Solid understanding of CICD practices using Git, Jenkins, or equivalent tooling • Hands-on experience building both batch and streaming data integration pipelines • Depth in More ❯

. Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven to create meaningful business impact. Soft Skills: Excellent communication and collaboration — translating complex technical ideas into More ❯