1 to 25 of 457 Permanent Apache Airflow Jobs in the UK

Business Intelligence - Data EngineerExperience working with SEI frameworks and Data Delivery to various firms using Snowflake, Airflow, Azure Data Factory and Microsoft Azure. Day to Day job Duties: (what this person will do on a daily/weekly basis)Work closely with client stakeholders to understand business needs, translate … sprint planning, and review meetings to ensure continuous communication and progress tracking. Design, build, and optimize scalable data pipelines using Azure Data Factory and Apache Airflow for scheduling and orchestration. Implement efficient data ingestion, transformation, and movement processes from various sources into Snowflake Data Warehouse. Develop reusable components ...

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 ...

United Kingdom 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 and engineering skills to deliver trusted … 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 ...

owned infrastructure. You’ll work as part of a technical team building and supporting data pipelines using Python, Azure and Kubernetes, alongside technologies including Apache Airflow and Apache Spark. Key Responsibilities Build and maintain new and existing data pipelines Develop data solutions using Python, Azure and Kubernetes … Work with Apache Airflow and Apache Spark Support the ongoing development and improvement of the data platform Ensure data remains securely hosted on MoD-owned infrastructure Collaborate with wider technical and delivery teams Troubleshoot and resolve technical issues across existing data pipelines Required Experience Strong commercial experience ...

Technical Lead – Multi-tenant Data Integration Platform (GCP/Airflow) Lead the engineering delivery and technical direction for a scalable, multi-tenant data integration platform on Google Cloud Platform (GCP). The platform uses Apache Airflow to orchestrate ETL pipelines and enables reliable movement of data from … contribution where needed (critical ETLs, framework components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Apache Airflow , including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor ...

deliver secure, reliable, and scalable services that support critical public sector operations. Key Responsibilities Design, develop, and maintain data pipelines and processing workflows using Apache Spark and Python Build, schedule, and monitor workflow orchestration using Apache Airflow Develop and maintain infrastructure-as-code using Terraform across … sprint planning, refinement, and other agile ceremonies Required Skills & Qualifications Experience with AWS services Experience with Terraform for infrastructure as code Experience with Apache Spark for data processing Experience with Apache Airflow for workflow orchestration Experience with Docker and containerisation Experience building and maintaining CI/ ...

software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross … support highly scalable data engineering solutions that power Moodys next-generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moodys technical teams ...

Lead the development of transformation workflows using dbt, with a strong emphasis on testing, documentation, and data quality. Architect and manage pipeline orchestration via Apache Airflow, ensuring reliability and observability at every stage. Monitor and optimise pipeline performance for low-latency, high-throughput use cases. Collaborate closely with … customer and marketing data at scale. Expert-level SQL and proven experience building robust transformation pipelines with dbt. Solid experience orchestrating workflows with Apache Airflow in production environments. Comfortable working across cloud platforms (AWS, GCP, or Azure) for data ingestion, storage, and processing. Proficiency in Python ...

software development team Hands‐on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross … highly scalable data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical ...

Linux operating systems, including command-line administration and troubleshooting. Solid experience with SQL or data pipeline technologies, Experience with data processing frameworks such as Apache Airflow, Apache Flink or Google Dataflow, with a practical understanding of ETL pipeline design and the ability to diagnose issues across data …/IP networking principles, including the ability to diagnose connectivity issues and interpret network traffic. Familiarity with event streaming platforms such as Apache Kafka, including an understanding of producer/consumer patterns and how message queues are used to move data reliably between systems at scale. Familiarity with infrastructure ...

London --------------------------------------- JOB DETAILS Role Title: Data Engineer (Python Enterprise Developer) Must have skills: -Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow -Preferred Domain: Energy trading Minimum number of relevant years of experience: 8+ Detailed Job Description: JD: • 8+ years of experience in python … communication skills with an ability to lead a team and keep them motivated. • Python, Postgres SQL, Azure Databricks, AWS(S3), Git, Azure DevOps CICD, Apache Airflow #J-18808-Ljbffr ...

organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes Own solutions from initial requirements through to production … Experience Required: Strong commercial Python and SQL experience Hands-on experience with AWS data services Amazon Redshift or comparable cloud data-warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data-modelling and production pipeline knowledge The confidence to work directly with Finance and technical ...

bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than … else, and you have real opinions informed by real failures. Experience working on a SaaS/PaaS product across multiple cloud providers. Familiarity with Apache Airflow or workflow orchestration systems. At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis ...

Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering place to work. ...

Modern data platforms: Databricks, Snowflake and cloud‐native data services Data architecture: Lakehouse, medallion, data mesh and domain‐oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise‐scale ETL/ELT, batch … streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud‐native orchestration services Event streaming: Kafka and cloud‐native event‐streaming technologies Data modelling: Dimensional, analytical and domain‐oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data ...

knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow … cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with ...

Document stores).Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline … lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development ...

Preferred Databricks Certified Data Engineer (Associate or Professional) or Databricks Certified Generative AI Engineer Associate Experience with orchestration technologies such as Azure Data Factory, Airflow or Databricks Workflows. Knowledge of containerisation and platform engineering technologies such as Docker and Kubernetes. Experience enabling machine learning, GenAI or advanced analytics workloads ...

platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation … quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business … Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems Preferred qualifications, capabilities, and skills Data modeling ...

using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence … Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systemsDemonstrated experience using enterprise-authorized AI capabilities within ...

data strategy Helping build and mentor the future data engineering team as the company scales Python, PostgreSQL, MongoDB, vector databases (Qdrant, Milvus or pgvector), Apache Spark, Apache Airflow, Kafka, Elasticsearch/OpenSearch, Pandas, Polars. What they're looking for: 7+ years of experience in data engineering ...

build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration ...

compute and managed data services. Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines. Experience with streaming and event-driven data (e.g., Kafka, Kinesis, Pub/Sub) is highly ...

designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL … . Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. ...