1 to 25 of 27 Remote Apache Airflow Jobs in Manchester

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 ❯

Terraform or CloudFormation) Solid understanding of testing frameworks and version control systems (e.g. Git) Nice to Have: Experience with data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated More ❯

Terraform or CloudFormation) Solid understanding of testing frameworks and version control systems (e.g. Git) Nice to Have: Experience with data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated More ❯

Terraform or CloudFormation) Solid understanding of testing frameworks and version control systems (e.g. Git) Nice to Have: Experience with data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated 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 ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform More ❯

for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform 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 ❯

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 ❯

engagement and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

engagement and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

engagement and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

integration of ML solutions into existing workflows. Develop robust, production-quality software artifacts using Python along with large-scale data workflow orchestration platforms (e.g., Airflow). Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure, using services like AWS Bedrock, S3, SageMaker, Azure More ❯

to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required Experience: Proven track record of deploying machine learning models to production More ❯

you be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing workflows with tools like Apache Spark and Flink for scalable performance. Infrastructure Automation: Implement Infrastructure … Integrate cloud-based data services with data lakes and warehouses. Build and automate CI/CD pipelines with Jenkins, GitLab CI/CD, or Apache Airflow. Develop automated test suites for data pipelines, ensuring data quality and transformation integrity. Monitoring & Performance Optimization: Monitor data pipelines with tools like Prometheus More ❯

Gateway, and EventBridge • Work with DynamoDB, Aurora Serverless, and S3 for cloud-native data solutions • Collaborate with frontend (Vue.js) and data platform engineers (Snowflake, Airflow) • Contribute to CI/CD pipelines, observability, and day-2 operational tooling • Partner with product and architecture teams to translate customer needs into working … able to interface confidently with both technical and non-technical audiences Bonus Experience • Familiarity with IaC frameworks (CloudFormation, Terraform, SAM) • Exposure to Snowflake, DBT, Airflow, or cost analytics/data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native More ❯

Gateway, and EventBridge • Work with DynamoDB, Aurora Serverless, and S3 for cloud-native data solutions • Collaborate with frontend (Vue.js) and data platform engineers (Snowflake, Airflow) • Contribute to CI/CD pipelines, observability, and day-2 operational tooling • Partner with product and architecture teams to translate customer needs into working … able to interface confidently with both technical and non-technical audiences Bonus Experience • Familiarity with IaC frameworks (CloudFormation, Terraform, SAM) • Exposure to Snowflake, DBT, Airflow, or cost analytics/data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native More ❯

Gateway, and EventBridge • Work with DynamoDB, Aurora Serverless, and S3 for cloud-native data solutions • Collaborate with frontend (Vue.js) and data platform engineers (Snowflake, Airflow) • Contribute to CI/CD pipelines, observability, and day-2 operational tooling • Partner with product and architecture teams to translate customer needs into working … able to interface confidently with both technical and non-technical audiences Bonus Experience • Familiarity with IaC frameworks (CloudFormation, Terraform, SAM) • Exposure to Snowflake, DBT, Airflow, or cost analytics/data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native More ❯

teams to ensure seamless integration within the broader technology ecosystem. The role requires hands-on experience with modern data tools such as dbt Core, Airflow, Airbyte , and Snowflake , and cloud platforms like AWS or Azure . You’ll be responsible for designing and maintaining resilient cloud infrastructure and automating … scaling FinTech company Quickly progress your career Direct impact on data platform Cutting-edge tech stack: Terraform, GCP, Azure CI/CD, dbt Core, Airflow, Airbyte, Snowflake Fully remote across the Ireland/The UK! Skills/Experience Required: 5+ years of experience as a DevOps Engineer in a … data-driven environment Strong experience Terraform, CI/CD, Airflow, DBT Strong experience with a cloud provider (AWS, Azure or GCP) Salary: €60,000 - €70,000/£50,000 – £60,000 GBP + Annual bonus + Strong benefits package + Fully remote in Ireland/the UK! Please note More ❯