1 to 25 of 52 Remote/Hybrid Permanent Apache Airflow Jobs

similar, for pipeline development and automation Cloud experience across AWS, Azure, or GCP Familiarity with orchestration and analytics engineering tools such as dbt, Airflow, or equivalents Good habits around governance, security, documentation, version control (Git), and CI/CD The kind of person who thrives here Confident, curious ...

preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full ...

delivering customer-facing Enterprise SaaS products at scale. Strong hands-on or architectural experience with modern data platform tooling, including but not limited to Apache Airflow, dbt, Kafka, AWS Glue, AWS Redshift, AWS Sagemaker, AWS Dynamo, AWS Quick Sight. Success leading a data engineering team through complex challenges ...

cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches and tooling such as dbt. Practical experience with infrastructure as code and CI/CD practices BENEFITS The successful ...

cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches and tooling such as dbt. Practical experience with infrastructure as code and CI/CD practices BENEFITS The successful ...

days per week in the office. • A collaborative culture and clear opportunities for technical growth. • Exposure to modern tooling including AWS, Redshift, Airflow, Terraform, and dbt. • The chance to shape a data platform and have meaningful influence on engineering standards. How to Apply If you are interested in this ...

Skills and Experience * Strong commercial experience working with AWS in production environments. * Proficiency in Python and SQL for data processing and orchestration. * Experience with Airflow for workflow management. * Knowledge of cloud data warehousing, ideally Redshift. * Experience with infrastructure as code and CI/CD tooling such as Terraform ...

with hands on Snowflake experience • Proven dbt experience at scale • Strong dimensional modelling using Kimball principles • Python for data engineering tasks • Experience with Airflow or similar orchestration tools • Git based workflows • Familiarity with BI tools such as Tableau, Looker, or Power BI • Experience working in cloud environments including ...

grade data pipelines for multiple internal teams. Develops and optimises central data models supporting analytics, ML, and operational workloads. Works with Databricks, AWS, dbt, Airflow, and Looker as part of a modern data stack. Leads complex technical initiatives and improves efficiency through CI/CD, observability, and tooling. Ensures ...

while contributing to best practices across the wider platform. You'll be working heavily with Python , SQL and Spark , using tools such as Databricks , Airflow , dbt and Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ ...

where priorities evolve and things aren’t always fully specified Nice to Have (Not Essential) Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry) Some exposure to backend development or API design TypeScript experience Familiarity with enterprise systems (ERP, CRM, etc.) Exposure to AI-enabled systems , generative ...

where priorities evolve and things aren't always fully specified Nice to Have (Not Essential) Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry) Some exposure to backend development or API design TypeScript experience Familiarity with enterprise systems (ERP, CRM, etc.) Exposure to AI-enabled systems, generative ...

databases Ideally you will have experience with some of the following technology that is also in the tech stack: data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster), cloud data platforms (e.g. AWS, S3, Glue, Athena, Redshift, Kinesis), data warehouse concepts and dimensional modelling, data streaming tools (e.g. Kafka, Kinesis ...

Testing). Familiarity with C++ or Go is a significant plus. Tooling & Orchestration: Deep experience with containerization (Docker, Kubernetes) and orchestration tools like Kubeflow, Airflow, or Metaflow. Cloud Architecture: Expertise in deploying ML workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations ...

analytics Fraud, AML, or transaction monitoring models ☁️ Cloud platforms (AWS, GCP, Azure) Experimentation & optimisation frameworks ⚙️ Typical Tech Stack Python • SQL • Spark • AWS/GCP • Airflow • Tableau/Power BI • Git 🚀 Why Join Work with large-scale behavioural datasets unique to iGaming Direct commercial impact on product & trading decisions Fast ...

commercial experience working as a Data Engineer in AWS. Solid programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful ...

commercial experience working as a Data Engineer in AWS. Solid programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful ...

commercial experience working as a Data Engineer in AWS. Solid programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful ...

commercial experience working as a Data Engineer in AWS. Solid programming skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful ...

platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing at exec level. ...

platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing at exec level. ...

behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start and finish times Full ...

behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start and finish times Full ...

/lending/risk/portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £45,000 – £55,000 salary Hybrid working ...

projects are approached and ensuring delivery standards are upheld Designing and governing scalable pipelines using BigQuery, Dataflow, Datastream, Data Fusion, Dataproc and Cloud Composer (Airflow) Leading best practice across dbt, Terraform, Docker and CI/CD Driving Data Mesh adoption, domain ownership, and interoperable data products Setting modelling standards ...