101 to 125 of 128 Apache Airflow Jobs in the South East

fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). Preferred Qualifications Advanced degree (MS/PhD) in More ❯

fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). Preferred Qualifications Advanced degree (MS/PhD) in More ❯

how data flows through everything they build. What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality and reliability … ML-ready datasets Influence technical decisions across the stack — they love new ideas What You Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in More ❯

how data flows through everything they build. What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality and reliability … ML-ready datasets Influence technical decisions across the stack — they love new ideas What You Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in More ❯

teams (Data Scientists, Quality, Manufacturing, IT) to define data requirements and deliver reliable data solutions. Develop and maintain ETL/ELT workflows using modern orchestration and integration tools (e.g., Airflow, Fivetran, or similar). Implement data governance, lineage, and documentation best practices. Support business intelligence tools (e.g., Tableau, Power BI) by ensuring data accessibility and consistency. Continuously evaluate emerging … hands-on experience with: Snowflake (architecture, performance tuning, cost optimisation) DBT (model development, testing, documentation, deployment) SQL (advanced query optimisation and debugging) Experience with data integration and orchestration tools (Airflow, Dagster, Prefect, or similar). Familiarity with cloud data platforms (AWS, Azure, or GCP). Contract: Initial 6-month contract Hybrid - 1 day per week on-site in London More ❯

Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. More ❯

Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. More ❯

Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. More ❯

of data modelling and data warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience with CI/CD pipelines More ❯

of data modelling and data warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience with CI/CD pipelines 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 ❯

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 ❯

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 ❯

science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert More ❯

science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert More ❯

science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert 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 ❯

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 ❯