1 to 25 of 103 Apache Airflow Jobs in the UK

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

looking for a Test Engineer to join a large-scale cloud data engineering programme, operating across a modern AWS-native technology stack including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, and DynamoDB. You will own testing across automated pipelines, data workflows, and cloud infrastructure - identifying risks, championing … Development Identify, evaluate, and implement new test frameworks Enhance existing frameworks to improve testing confidence and coverage Pipeline & Data Testing Validate data pipelines using Apache Airflow, AWS Glue, Athena, and EMR Ensure data integrity, transformation accuracy, and performance under load Analyse data in multiple formats to validate ...

create the queries and processes necessary to move everything to the new. As migration work wraps up, the role will transition to leveraging Airflow and other tooling to automate operational and financial processes. This is a great role for exceptionally outgoing individuals as all work will require extensive collaboration … design the data process' to be run the day each partner is migrated Build and maintain ETLs and workflow automation using Snowflake and Apache Airflow Thoroughly document all learnings and work-in-progress using version control Implement data quality checks and reconciliations at all steps in the process ...

create the queries and processes necessary to move everything to the new. As migration work wraps up, the role will transition to leveraging Airflow and other tooling to automate operational and financial processes. This is a great role for exceptionally outgoing individuals as all work will require extensive collaboration … design the data process' to be run the day each partner is migrated Build and maintain ETLs and workflow automation using Snowflake and Apache Airflow Thoroughly document all learnings and work-in-progress using version control Implement data quality checks and reconciliations at all steps in the process ...

/ELT pipelines and curated data models to support analytics and reporting. This position requires strong hands-on experience with Python, Apache Airflow and dbt as essential skills , as these will be central to building, orchestrating and transforming the bank’s data pipelines. You will use Python … develop ETL/ELT processes, Apache Airflow to design and manage workflow orchestration and scheduling, and dbt to build scalable transformation layers, data models and testing frameworks (including medallion architecture where applicable). Strong experience working in Unix/Linux environments is also key for scripting, deployment ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding ...

looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems … with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding ...

data warehousing, dimensional modelling and medallion architecture Hands-on experience with cloud platforms: AWS, Azure or GCP Experience with orchestration tools such as Airflow, Prefect or Dagster Strong SQL skills and experience with modern warehouse/lakehouse architectures Familiarity with Git, CI/CD and infrastructure-as-code practices ...

Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud‐native services. Good understanding of open‐source table formats, specifically Apache Iceberg , to enable interoperability, schema evolution, and high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . … Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture. Leadership & Soft Skills Mentorship: Proven track record of upskilling junior and senior engineers. Communication: Ability to explain complex technical ...

clear, structured data engineering framework Build, enhance, and maintain data pipelines within Snowflake Develop transformations and data models using DBT Orchestrate workflows using Apache Airflow Write clean, modular Python code for data engineering solutions Improve pipeline reliability, performance, and observability Introduce and embed CI/CD, testing … Lead level Extensive experience with Snowflake as a core data platform Advanced SQL with strong business logic and modelling capability Experience with DBT, Airflow, and Python Experience building modular, scalable solutions within Snowflake CI/CD pipeline experience, ideally using Azure DevOps Exposure to Docker and modern software engineering ...

clear, structured data engineering framework Build, enhance, and maintain data pipelines within Snowflake Develop transformations and data models using DBT Orchestrate workflows using Apache Airflow Write clean, modular Python code for data engineering solutions Improve pipeline reliability, performance, and observability Introduce and embed CI/CD, testing … Lead level Extensive experience with Snowflake as a core data platform Advanced SQL with strong business logic and modelling capability Experience with DBT, Airflow, and Python Experience building modular, scalable solutions within Snowflake CI/CD pipeline experience, ideally using Azure DevOps Exposure to Docker and modern software engineering ...

What We're Looking For: Experience with MongoDB: Essential for this role! Technical Proficiency: Strong skills in SQL, Python, and familiarity with tools like Apache Spark, Kafka, and Airflow. Cloud Knowledge: Experience with AWS, Azure, or GCP is a plus. Data Understanding: Strong grasp of data modeling, schema design ...

schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage … . Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Master's degree in Computer Science, Engineering, Information Technology, or a related field. ...

role Strong hands-on experience with Snowflake data platform Proficiency in SQL and data modeling techniques Experience with ETL/ELT tools (e.g., dbt, Apache Airflow, Talend, Informatica) Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with data warehousing concepts and best practices Understanding of data governance ...

models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows. Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production … closely related infrastructure role. Strong proficiency in Python for ML pipeline development, tooling, and automation. Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow. Experience with model registries and experiment tracking platforms (MLflow preferred). Experience deploying and operating ML workloads on AWS (Batch ...

driving innovation in data engineering. Desirable Criteria Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives. Familiarity with Apache Airflow, data modelling, and metadata management Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit ...

data ingestion pipelines; advanced SQL and data modelling skills; experience with cloud platforms (AWS, GCP, or Azure); familiarity with pipeline orchestration tools such as Airflow or Prefect. Nice to Have: Experience working with financial, operational, or transactional data; exposure to real-time or event-driven systems; experience with data ...

deploying models, tests, macros, and documentation Desirable AWS and/or Azure - comfortable navigating cloud environments to maintain and progressively migrate legacy workloads Orchestration - Airflow, Prefect, Dagster, or equivalent Infrastructure-as-code - Terraform or similar Data governance & observability - lineage, data quality frameworks, access policy, and monitoring/alerting practices ...

stream data processing. Cloud Pub/Sub: For real-time messaging and event ingestion. Cloud Storage: For scalable and durable object storage. Cloud Composer (Apache Airflow): For workflow orchestration and pipeline management. Cloud Dataproc: For managed Hadoop and Spark clusters (good to have). Cloud SQL/Cloud ...

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 ...

pipelines Familiarity with CI/CD, Git, Terraform, and modern engineering practices Experience working in Agile/Scrum environments Exposure to tools such as Airflow/Composer and Azure DevOps Understanding of AI/ML tooling such as Vertex AI Desirable Experience with BI/visualisation tools (e.g. Looker ...

systems for unstructured data retrieval Exposure to cloud infrastructure (AWS, GCP, or Azure) for scalable data pipeline deployment Experience with modern data orchestration tools (Airflow, Prefect, dbt) What We Offer Direct access to senior football operations leadership, with genuine influence over recruitment decisions A greenfield build the opportunity ...

Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including Git, testing and CI/CD workflows What They ...

Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including Git, testing and CI/CD workflows What They ...

Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including Git, testing and CI/CD workflows What They ...