1 to 25 of 346 Apache Airflow Jobs in London

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 ...

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

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 ...

across the business. This role is ideal for someone with strong AWS experience and a background working with modern data tooling including dbt, PySpark, Airflow, Redshift, Iceberg, OpenSearch, Knowledge Graphs, Python, and CircleCI . Key Responsibilities Design and develop scalable ETL/ELT data pipelines using Python and PySpark … Build and maintain data transformation frameworks using dbt Develop and orchestrate workflows using Apache Airflow Deliver high-performance data warehouse solutions within Amazon Redshift Support the implementation and optimisation of Apache Iceberg lakehouse architectures Develop and enhance search capabilities using OpenSearch Work with Knowledge Graph technologies ...

integration, and production support. Good understanding of ETL/ELT, data warehousing, data lakes, dimensional modelling, batch processing, and stream processing. Experience with Apache Beam, Kafka, REST APIs, Docker, Kubernetes, or GKE. Experience with data formats such as JSON, CSV, Avro, and Parquet. Working knowledge of Git, automated testing … observability, and release management. Ability to design solutions for scalability, resilience, security, performance, operability, and cost efficiency. Preferred Skills Experience with Cloud Composer or Apache Airflow, Dataproc or Spark, Dataform or dbt, and metadata-driven pipeline frameworks. Exposure to Terraform or another infrastructure-as-code tool. Knowledge ...

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 ...

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 … Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. About this role: At Astronomer, we're redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. ...

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy click apply ...

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. ...

Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

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 … 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 ...

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 ...

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 ...

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 ...

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 ...

Node) using Webpack, Typescript, and GitHub. Experience with Docker and/or Kubernetes and containerized deployments (AKS).Experience with workflow orchestration tools such as Apache Airflow or n8n.Experience of code quality, test, CI/CD and package managers such as Jest, Lint, Brigade, and Helm. Experience with Kafka ...

triaging, escalating, and driving incidents to resolution under pressure. What you’ll do: Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python. Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer ...

Snowflake, BigQuery, Redshift, EMR, or similar). Our stack is Databricks and Snowflake; strong equivalent experience elsewhere transfers. Experience with a workflow orchestrator (e.g. Airflow, Dagster, or Databricks Workflows). Proven system and platform design judgment: you own architectural decisions and can defend the trade-offs. Greenfield, scaling ...

basis to support a MoD-owned data platform. The role focuses on building and maintaining secure data pipelines using Python, Azure and Kubernetes, with Apache Airflow and Apache Spark integrated into the stack. You will work within a government-aligned, secure environment, ensuring data remains hosted ...