1 to 25 of 177 Remote Apache Airflow Jobs in the UK excluding London

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed … ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing … solutions, ensuring data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed … ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing … solutions, ensuring data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in More ❯

Senior Data Engineer/Data Analytics Engineer - Full Remote Working from anywhere in the UK SQL+Python+ETL+ Apache Airflow Our client is a global leading and fast growing high tech company: -Over 6,500 employees across 20+ offices; -300 Million+ active users on some of the platforms they developed … ensure data quality, and support business decision-making with high-quality datasets. -Work across technology stack: SQL, Python, ETL, Big Query, Spark, Hadoop, Git, Apache Airflow, Data Architecture, Data Warehousing -Design and develop scalable ETL pipelines to automate data processes and optimize delivery -Implement and manage data warehousing … solutions, ensuring data integrity through rigorous testing and validation -Lead, plan and execute workflow migration and data orchestration using Apache Airflow -Focus on data engineering and data analytics Requirements: -5+ years of experience in SQL -5+ years of development in Python -MUST have strong experience in More ❯

be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a … to apply! Job Responsibilities ETL/ELT Pipeline Development: Design, develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow. Implement batch and real-time data processing solutions using Apache Spark. Ensure data quality, governance, and security throughout the data lifecycle. Cloud …/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Develop and optimize large-scale data processing pipelines using Apache Spark and PySpark. Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads. Work with diverse data formats (structured and unstructured More ❯

Data Engineer (AI-Driven SaaS Platform) Technologies: Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS Environment: Large-scale data environment, Fully remote UK, Microservices architecture About the Role Are you a Data Engineering enthusiast who thrives on designing and implementing robust ETL processes, highly scalable … migrations, and experience with data warehousing concepts. Technical Skills Deep understanding of SQL and NoSQL databases (MongoDB or similar) Experience with streaming platforms like Apache Kafka Development and maintenance of ELT pipelines Knowledge of data warehousing best practices High proficiency in Apache Kafka and Apache Airflow More ❯

Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data … and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have experience with streaming platforms like Apache Kafka and be able to develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice. You will … understanding Apache Kafka to a high standard and have solid knowledge of Apache Airflow - from a Cloud perspective, you will be an AWS enthuiast! Naturally you will have good understanding on AWS. I'd love you to be an advocate of Agile too - these guys are massive More ❯

infrastructure , they’re seeking a seasoned Principal Data Engineer to help design, build, and optimise a modern data platform, with a focus on orchestration (Airflow), scalable data warehouse architecture, and high-performance pipelines. The ideal candidate will bring both technical depth and strategic thinking , with the ability to communicate … analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable … enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and More ❯

Kubernetes for orchestration, ensuring scalable and efficient deployment of applications across both cloud-based and on-premises environments. Workflow Automation: Employ tools such as Apache Airflow to automate data flows and manage complex workflows within hybrid environments. Event Streaming Experience: Utilise event-driven technologies such as Kafka to … Expertise: Solid experience with Docker and Kubernetes in managing applications across both on-premises and cloud platforms. Proficiency in Workflow Automation Tools: Practical experience Apache Airflow in hybrid data environments. Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka. Data Security Knowledge More ❯

Kubernetes for orchestration, ensuring scalable and efficient deployment of applications across both cloud-based and on-premises environments. Workflow Automation: Employ tools such as Apache Airflow to automate data flows and manage complex workflows within hybrid environments. Event Streaming Experience: Utilise event-driven technologies such as Kafka to … Expertise: Solid experience with Docker and Kubernetes in managing applications across both on-premises and cloud platforms. Proficiency in Workflow Automation Tools: Practical experience Apache Airflow in hybrid data environments. Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka. Data Security Knowledge More ❯

Kubernetes for orchestration, ensuring scalable and efficient deployment of applications across both cloud-based and on-premises environments. Workflow Automation: Employ tools such as Apache Airflow to automate data flows and manage complex workflows within hybrid environments. Event Streaming Experience: Utilise event-driven technologies such as Kafka to … Expertise: Solid experience with Docker and Kubernetes in managing applications across both on-premises and cloud platforms. Proficiency in Workflow Automation Tools: Practical experience Apache Airflow in hybrid data environments. Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka. Data Security Knowledge More ❯

Kubernetes for orchestration, ensuring scalable and efficient deployment of applications across both cloud-based and on-premises environments. Workflow Automation: Employ tools such as Apache Airflow to automate data flows and manage complex workflows within hybrid environments. Event Streaming Experience: Utilise event-driven technologies such as Kafka to … Expertise: Solid experience with Docker and Kubernetes in managing applications across both on-premises and cloud platforms. Proficiency in Workflow Automation Tools: Practical experience Apache Airflow in hybrid data environments. Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka. Data Security Knowledge More ❯

Kubernetes for orchestration, ensuring scalable and efficient deployment of applications across both cloud-based and on-premises environments. Workflow Automation: Employ tools such as Apache Airflow to automate data flows and manage complex workflows within hybrid environments. Event Streaming Experience: Utilise event-driven technologies such as Kafka to … Expertise: Solid experience with Docker and Kubernetes in managing applications across both on-premises and cloud platforms. Proficiency in Workflow Automation Tools: Practical experience Apache Airflow in hybrid data environments. Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka. Data Security Knowledge More ❯

early and providing strategic guidance. Support the ongoing development of integration strategies involving Managed File Transfer solutions (e.g., GoAnywhere) and data orchestration platforms (e.g., Apache Airflow). Provide hands-on support and detailed guidance on particularly complex integration designs where necessary. Maintain current knowledge of industry trends, technology … and migrations. Familiarity with IBM Maximo asset management platform. Knowledge and experience with Managed File Transfer solutions (e.g., GoAnywhere). Understanding and experience with Apache Airflow orchestration platform. Strong grasp of integration best practices, security considerations, and data flow management. Ability to work collaboratively across distributed teams and More ❯

be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a … impact, we encourage you to apply! Job Responsibilities Data Engineering & Data Pipeline Development Design, develop, and optimize scalable DATA workflows using Python, PySpark, and Airflow Implement real-time and batch data processing using Spark Enforce best practices for data quality, governance, and security throughout the data lifecycle Ensure data …/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured and unstructured) to support More ❯

/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical More ❯

financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite in London 3 days per week. What More ❯

working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in More ❯

Snowflake. You understand event-driven architectures and real-time data processing You have experience implementing and maintaining scalable data pipelines using tools like dbt, Apache Airflow, or similar. You have no issue working with either structured or semi-structured data. You are comfortable working with data engineering and More ❯

adopt emerging technologies, and enhance analytics capabilities. Requirements: Technical Proficiency: Hands-on experience building ETL/ELT pipelines with Python, SQL, or tools like Apache Airflow, and expertise in visualisation tools (Power BI, Tableau, or Looker). Cloud Expertise: Familiarity with cloud platforms like Snowflake, Databricks, or AWS More ❯

adopt emerging technologies, and enhance analytics capabilities. Requirements: Technical Proficiency : Hands-on experience building ETL/ELT pipelines with Python, SQL, or tools like Apache Airflow, and expertise in visualisation tools (Power BI, Tableau, or Looker). Cloud Expertise : Familiarity with cloud platforms like Snowflake, Databricks, or AWS More ❯

engineering or a related field Proficiency in English spoken and written Nice-to-Haves: Experience with ETL/ELT pipeline design and tools (e.g., Apache Airflow). Familiarity with Change Data Capture (CDC) solutions. Knowledge of database services on other cloud platforms (e.g., Azure SQL Database, Google Cloud More ❯

engineering or a related field Proficiency in English spoken and written Nice-to-Haves: Experience with ETL/ELT pipeline design and tools (e.g., Apache Airflow). Familiarity with Change Data Capture (CDC) solutions. Knowledge of database services on other cloud platforms (e.g., Azure SQL Database, Google Cloud More ❯

peer to peer feedback and evolving healthy, curious and humble teams. Tech Stack: Python, Javascript/Typescript, React/React Native, AWS, GraphQL, Snowflake, Airflow, DDD. This is an incredible opportunity for a Senior Software Engineer to join a unique company as they embark on a period of significant More ❯

related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT More ❯

in Python. Familiarity with analytical data warehouses (e.g. Redshift preferred, or Snowflake/BigQuery). Understanding of orchestration tools such as AWS Step Functions, Airflow, or AWS Batch. Experience working with Agile methodologies. Awareness of automated testing and delivery pipelines. Understanding of metadata-driven data modelling or scalable data More ❯