51 to 75 of 383 Apache Airflow Jobs in England

Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to £60,000 per annum + benefits Hybrid working ...

experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with data governance, privacy, and compliance frameworks (e.g., GDPR ...

Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML ...

using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical ...

management principles, including modelling, integration, and governance. Familiarity with modern data architectures (cloud-based, distributed systems). Proficiency in SQL, Python, and pipeline tools (Apache Airflow, Spark). Experience with cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness and evidence of data analytics and visualisation. Essentials ...

strong plus Technical Skills: • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL) • Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow) • Experience with programming languages such as Python, Java, or Scala. Python is highly preferred • Basic understanding of cloud platforms and services (e.g. ...

Snowflake Production experience with dbt (mandatory) Strong SQL and Python programming skills Experience with Git-based workflows and DevOps practices Familiarity with orchestration tools (Airflow, Prefect) and ETL/ELT patterns Knowledge of cloud platforms (AWS, Azure) and security best practices ...

Snowflake Production experience with dbt (mandatory) Strong SQL and Python programming skills Experience with Git-based workflows and DevOps practices Familiarity with orchestration tools (Airflow, Prefect) and ETL/ELT patterns Knowledge of cloud platforms (AWS, Azure) and security best practices ...

modular, reusable transformations using SQL and Python. Implement CI/CD pipelines and manage deployments via Git. Automate workflows using orchestration tools such as Airflow or dbt Cloud. Configure and optimise Snowflake warehouses for performance and cost efficiency. Required Skills & Experience 7+ years in data engineering roles. 3+ years ...

modular, reusable transformations using SQL and Python. Implement CI/CD pipelines and manage deployments via Git. Automate workflows using orchestration tools such as Airflow or dbt Cloud. Configure and optimise Snowflake warehouses for performance and cost efficiency. Required Skills & Experience 7+ years in data engineering roles. 3+ years ...

using best practices in schema design and data governance. Contribute to ETL/ELT development, testing, and automation using tools such as Python, SQL, Airflow, or Azure Data Factory. Collaborate closely with analysts, scientists, and architects to ensure data solutions meet business needs. Participate in Agile delivery teams, including ...

tuning. Hands-on expertise with Fivetran and dbt. Good understanding of data modelling, governance, and security best practices. Familiarity with orchestration tools such as Airflow or Prefect (advantageous). Experience working in Azure (or AWS/GCP). Strong analytical and collaboration skills, with great attention to detail. ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...

maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs). Implement comprehensive software … engineering teams. Bonus Skills to Stand Out (Optional): Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment. Experience with data quality monitoring tools and frameworks. Master's or PhD in Computer Science, Data Science, or a related field. Relevant certifications ...