76 to 100 of 497 Apache Airflow Jobs in England

large- scale batch processing. Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform. Experience with Airflow environment management and Docker. Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for use within the development lifecycle. ...

Azure (Cloud certifications area plus!). Containerization: Familiarity with Docker or the concept of containerizedapplications. Data Tools: Exposure to any data processing tools like Airflow, Kafka, or Spark. Infrastructure as Code: A desire to learn tools like Terraform/Terragrunt. Financial Tech Interest: An interest in Open Banking ...

senior or lead-level technical role. Deep expertise in Google Cloud Platform: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow) as the primary data platform stack. Advanced Python and SQL skills, including writing performant, production grade code and conducting rigorous code reviews. Proven experience designing ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer ...

Scrum or Kanban.Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions.Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies.Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.Unfortunately we are unable ...

data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise … using transformation tools such as dbt Experience with data pipeline orchestration tools (such as Apache Airflow) Experience with best practices applied to data (e.g., testing, CI/CD) Advantageous Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight Experience with ...

processing. In this role, you will architect and maintain production-grade data products and APIs, leveraging technologies such as Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high-performance solutions. You will collaborate with cross-functional partners across Finance, Accounting, and Analytics to translate complex business … clean, maintainable, and efficient code, ensuring adherence to best practices through code reviewsBig Data EngineeringDesign, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache AirflowOptimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performanceDevelop and fine-tune complex queries using Apache ...

Terraform and Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery.Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines.Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command ...

Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command ...

with using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau • Business Intelligence (BI) knowledge/experience • Knowledge on tools like Terraform, Airflow, DBT and Harness • Modern data engineering practises The environment is that of Facebook or Google, relaxed open with time to think and make ...

Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/CD, version control, and infrastructure as code Experience within financial services, consulting, or risk environments What’s on Offer Opportunity to make an impact from ...

Areas Such As KYC AML Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills #J-18808-Ljbffr ...

areas such as: KYC AML Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills Why Apply? Opportunity ...

automated testing and data quality practice. A collaborative mindset and a genuine interest in building things well. Desirable Experience with orchestration tools such as Airflow, Dagster, Prefect or Azure Data Factory. Experience working within AWS, Azure, GCP or another enterprise cloud ecosystem. Experience with complex customer, transactional, digital ...

field. Strong SQL skills and a good understanding of data modelling principles. Experience with data transformation tools (e.g. dbt, Spark) and workflow orchestration (e.g. Airflow or similar). Familiarity with cloud-based data platforms, ideally AWS. Understanding of data pipeline design and ETL/ELT patterns. Exposure to streaming ...

pipelines. Knowledge graphs, ontologies, RDF, linked data or advanced semantic technologies. Databricks or cloud architecture/data-engineering certification. Tools such as dbt, Kafka, Airflow, Terraform, Power BI, Tableau, Collibra or Microsoft Purview. Architecture across multiple products, domains or business units in B2B software, information services, consulting or regulated ...

Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here Wondering what the salary for this role is? Just ...

formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chain forecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Things to note Just to let you know, we are dog friendly company ...

frameworks for large-scale batch and near real-time processing, with hands-on experience using orchestration and transformation technologies such as Airflow and dbt. Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes. ...

formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Desirable Background in supply chain forecasting, enterprise AI, or retail analyticsM.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

senior or lead-level technical role. Deep expertise in Google Cloud Platform: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow) as the primary data platform stack. Advanced Python and SQL skills, including writing performant, production grade code and conducting rigorous code reviews. Proven experience designing ...

volumes, large data volumes, or both.Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies.Strong production Python experience and awareness of other relevant languages (Java/Kotlin) sufficient ...

large data volumes, or both. Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies. Strong production Python experience and awareness of other relevant languages (Java/Kotlin) sufficient ...

data platforms (AWS, GCP, or Azure)Technical credibility with data engineering practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similarHands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patternsAbility to articulate ...