176 to 200 of 211 Apache Airflow Jobs in the UK excluding London

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of More ❯

Location: London – Hybrid (2-3 days/week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent/Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI More ❯

Location: London – Hybrid (2-3 days/week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent/Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI More ❯

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of More ❯

Location: London – Hybrid (2-3 days/week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent/Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI More ❯

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of More ❯

cross-functional teams to build scalable data pipelines and contribute to digital transformation initiatives across government departments. Key Responsibilities Design, develop and maintain robust data pipelines using PostgreSQL and Airflow or Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments … essential Operate within Agile teams and support DevOps practices What We're Looking For Proven experience as a Data Engineer in complex environments Strong proficiency in PostgreSQL and either Airflow or Spark Solid understanding of Node.js or React for integration and tooling Familiarity with containerisation technologies (Docker/Kubernetes) is a plus Excellent communication and stakeholder engagement skills Experience More ❯

AWS) to join a contract till April 2026. Inside IR35 SC cleared Weekly travel to Newcastle Around £400 per day Contract till April 2026 Skills: - Python - AWS Services - Terraform - Apache Spark - Airflow - Docker More ❯

SC cleared Software developers (Python & AWS) to join a contract till April 2026.Inside IR35SC clearedWeekly travel to Newcastle Around £400 per dayContract till April 2026Skills:- Python- AWS Services- Terraform- Apache Spark- Airflow- Docker More ❯

Role: Snowflake Engineer/Developer Location: Manchester, UK Work Mode: Permanent - Hybrid - 4 Days/Week (Mandatory) JOB DESCRITION: Mandatory Possess good knowledge in Cloud computing Snowflake DBT airflow Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in More ❯

Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilize More ❯

Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) London/Hybrid 70-80k base plus super and equity A fast-growing, data-driven organisation is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure and workflows that power analytics and decision-making across the business. This role suits an engineer who’s … to join a rocketship that’s well and truly taking off, this one is for you! Day to day responsibilities for the Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) include : Build and maintain data pipelines and warehouse solutions using BigQuery (or similar cloud platforms). Write high-performance SQL and implement data models optimised for analytics … and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data assets. Required experience for the Senior Data Engineer More ❯

Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) London/Hybrid 70-80k base plus super and equity A fast-growing, data-driven organisation is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure and workflows that power analytics and decision-making across the business. This role suits an engineer who’s … to join a rocketship that’s well and truly taking off, this one is for you! Day to day responsibilities for the Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) include : Build and maintain data pipelines and warehouse solutions using BigQuery (or similar cloud platforms). Write high-performance SQL and implement data models optimised for analytics … and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data assets. Required experience for the Senior Data Engineer More ❯

Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) London/Hybrid 70-80k base plus super and equity A fast-growing, data-driven organisation is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure and workflows that power analytics and decision-making across the business. This role suits an engineer who’s … to join a rocketship that’s well and truly taking off, this one is for you! Day to day responsibilities for the Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) include : Build and maintain data pipelines and warehouse solutions using BigQuery (or similar cloud platforms). Write high-performance SQL and implement data models optimised for analytics … and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance, monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data assets. Required experience for the Senior Data Engineer More ❯

and fast-paced, giving you the opportunity to work across a wide variety of data sources and tools. Day-to-day responsibilities include: Designing and developing DBT models and Airflow pipelines within a modern data stack. Building robust data ingestion pipelines across multiple sources - including external partners, internal platforms, and APIs. Implementing automated testing and CI/CD pipelines … on forecasting and predictive analytics initiatives. Bringing modern engineering practices, testing frameworks, and design patterns to the wider data function. Tech Stack & Skills Core skills: Strong experience with DBT, Airflow, Snowflake, and Python Proven background in automated testing, CI/CD, and test-driven development Experience building and maintaining data pipelines and APIs in production environments Nice to have More ❯

Role:JAVA Full Stack Developer Job Type - Glasgow, Hybrid (3 5 days onsite) The Role As a JAVA Full Stack Lead Software Engineer with our client, you will play a crucial role in an agile team, focusing on the enhancement More ❯

Strong Databricks experience (including Unity Catalog) Familiarity with Terraform and infrastructure as code A good understanding of Agile delivery and CI/CD practices Experience building data pipelines with Airflow or Azure Data Factory Solid coding skills in Python, Spark, and SQL Great communication and problem-solving skills The ability to mentor, guide, and support other engineers More ❯

and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science … skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big More ❯

and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science … skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big More ❯

and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science … skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker) A passion for gaining insight into real-world datasets and clearly communicating through data visualization techniques Interest in material discovery, computer vision, handling big More ❯

code and testing principles. Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers … deploy, and scale production-grade data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to More ❯

code and testing principles. Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers … deploy, and scale production-grade data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. More ❯