1 to 25 of 68 Permanent Apache Airflow Jobs in Manchester

object-oriented design principles, and data structures Extensive experience in developing microservices using Java, Python Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark. Good experience in Test driven development and automating test cases using Java/Python Experience in SQL/NoSQL (Oracle, Cassandra) database design … following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda Working experience with Terraform Experience in creating workflows for Apache Airflow About Roku Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build More ❯

with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as More ❯

fixes and code refactoring. Leverage the latest data technologies and programming languages, including Python, Scala, and Java, along with systems like Spark, Kafka, and Airflow, within cloud services such as AWS. Ensure the ongoing maintenance, troubleshooting, optimization, and reliability of data systems, including timely resolution of unexpected issues. Stay … NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles. Proven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse … and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

fixes and code refactoring. Leverage the latest data technologies and programming languages, including Python, Scala, and Java, along with systems like Spark, Kafka, and Airflow, within cloud services such as AWS. Ensure the ongoing maintenance, troubleshooting, optimization, and reliability of data systems, including timely resolution of unexpected issues. Stay … NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles. Proven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse … and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

fixes and code refactoring. Leverage the latest data technologies and programming languages, including Python, Scala, and Java, along with systems like Spark, Kafka, and Airflow, within cloud services such as AWS. Ensure the ongoing maintenance, troubleshooting, optimization, and reliability of data systems, including timely resolution of unexpected issues. Stay … NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles. Proven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse … and lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

. • Familiarity with data cataloguing tools and practices. • Prior experience in a startup or high-growth tech company. • Familiarity with containerisation (Docker), orchestration tools (Airflow, Prefect), and CI/CD workflows. • Understanding of foundational MLOps and data-centric AI practices. • Experience of working in an Agile environment. What We More ❯

. • Familiarity with data cataloguing tools and practices. • Prior experience in a startup or high-growth tech company. • Familiarity with containerisation (Docker), orchestration tools (Airflow, Prefect), and CI/CD workflows. • Understanding of foundational MLOps and data-centric AI practices. • Experience of working in an Agile environment. What We More ❯

. • Familiarity with data cataloguing tools and practices. • Prior experience in a startup or high-growth tech company. • Familiarity with containerisation (Docker), orchestration tools (Airflow, Prefect), and CI/CD workflows. • Understanding of foundational MLOps and data-centric AI practices. • Experience of working in an Agile environment. What We More ❯

data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security More ❯

data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security More ❯

data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security More ❯

advantage in database technologies used for analytics: SQL Server, Snowflake, Azure Synapse, Oracle, and Teradata Experienced in ELT orchestration tools: Azure Data Factory, SSIS, Apache Airflow, Informatica, and Talend (nice-to-have) Native-level or Proficient-level English speaker. YOU WANT TO Be part of a team of More ❯

advantage in database technologies used for analytics: SQL Server, Snowflake, Azure Synapse, Oracle, and Teradata Experienced in ELT orchestration tools: Azure Data Factory, SSIS, Apache Airflow, Informatica, and Talend (nice-to-have) Native-level or Proficient-level English speaker. YOU WANT TO Be part of a team of More ❯

advantage in database technologies used for analytics: SQL Server, Snowflake, Azure Synapse, Oracle, and Teradata Experienced in ELT orchestration tools: Azure Data Factory, SSIS, Apache Airflow, Informatica, and Talend (nice-to-have) Native-level or Proficient-level English speaker. YOU WANT TO Be part of a team of More ❯

tech Shape reusable data engineering patterns Communicate clearly with both technical and non-technical stakeholders Scope and evolve solutions alongside clients Tech: Snowflake, DBT, Airflow, Azure Data Factory Python, Spark, SQL Cloud (Azure, AWS, or GCP) Power BI, Tableau, Looker Modern architecture concepts Why Join? Remote-first, with a More ❯

tech Shape reusable data engineering patterns Communicate clearly with both technical and non-technical stakeholders Scope and evolve solutions alongside clients Tech: Snowflake, DBT, Airflow, Azure Data Factory Python, Spark, SQL Cloud (Azure, AWS, or GCP) Power BI, Tableau, Looker Modern architecture concepts Why Join? Remote-first, with a More ❯

tech Shape reusable data engineering patterns Communicate clearly with both technical and non-technical stakeholders Scope and evolve solutions alongside clients Tech: Snowflake, DBT, Airflow, Azure Data Factory Python, Spark, SQL Cloud (Azure, AWS, or GCP) Power BI, Tableau, Looker Modern architecture concepts Why Join? Remote-first, with a More ❯

with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in at least one programming language such as Python, Java, or Scala. Strong analytical and problem-solving skills with the ability to More ❯

projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. More ❯

projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. More ❯

projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. More ❯

projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. More ❯

projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. More ❯

projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services on AWS - Extensive knowledge of AWS services, including API Gateway, Lambda, Redshift, Glue, CloudWatch, etc. More ❯

communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options More ❯