76 to 100 of 436 Apache Airflow Jobs in England

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 ...

Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster. Strong communicator: Skilled at writing clear technical specifications and explaining complex trade-offs to both technical and non-technical colleagues. Growth ...

data modelling Python, Git, Docker ETL pipelines and data platforms Relational database engines, including PostgreSQL and DuckDB Orchestration (e.g. Step Functions, Airflow) AI-accelerated development workflows and tools including Claude Code and Codex AWS cloud infrastructure, including Lambda and ECS End-to-end data pipeline testing strategy and implementation ...

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 ...

certifications are a plus!). Containerization: Familiarity with Docker or the concept of containerized applications. 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 ...

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. ...

relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity ...

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 ...

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 similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow/Azure Data Factory or equivalent orchestration, Data Lake/Apache Iceberg, and advanced SQL for large‐scale transformations. ...

management, and quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions … .Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like Amundsen, Atlas ...

pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of scheduling/orchestration tools such as Autosys and/or Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift ...

Oracle databases. Experience designing and supporting ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling). Working knowledge of Autosys and Apache Airflow (monitoring schedules, reruns, failure triage). Experience with CI/CD and release controls (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift ...

implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflake and hands‐on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem‐solving capabilities, and the ability to collaborate effectively with cross‐functional ...

components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling ...

like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs. Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practicesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

Senior Data Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end-to-end data modelling experience Experiencebuilding batch and real-time data integrations Hands-onCICD skills with Git, Jenkins or similar Abilityto ...