401 to 425 of 530 Apache Airflow Jobs in England

principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in our London office … transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) Familiarity with infrastructure as code Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset More ❯

principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in our London office … transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) Familiarity with infrastructure as code Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset More ❯

principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in our London office … transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) Familiarity with infrastructure as code Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset More ❯

principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in our London office … transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) Familiarity with infrastructure as code Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset More ❯

principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in our London office … transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) Familiarity with infrastructure as code Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset More ❯

with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data infrastructure , working with tools such as Airflow, Kafka, Spark, and AWS . Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader … Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. STEM degree in Mathematics, Physics, Computer Science, Engineering More ❯

with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data infrastructure , working with tools such as Airflow, Kafka, Spark, and AWS . Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader … Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. STEM degree in Mathematics, Physics, Computer Science, Engineering More ❯

with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data infrastructure , working with tools such as Airflow, Kafka, Spark, and AWS . Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader … Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. STEM degree in Mathematics, Physics, Computer Science, Engineering More ❯

with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data infrastructure , working with tools such as Airflow, Kafka, Spark, and AWS . Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader … Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. STEM degree in Mathematics, Physics, Computer Science, Engineering More ❯

with researchers, technologists, and analysts to enhance the quality, timeliness, and accessibility of data. Contribute to the evolution of modern cloud-based data infrastructure , working with tools such as Airflow, Kafka, Spark, and AWS . Monitor and troubleshoot data workflows, ensuring continuous delivery of high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader … Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. STEM degree in Mathematics, Physics, Computer Science, Engineering More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that … environments where every model could change an industry, you'll fit right in. Company Noir Qualifications Senior (5+ years of experience) Experience with Python, PyTorch, TensorFlow, Scikit learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Benefits Competitive salary with annual performance based More ❯

Machine Learning Engineer Machine Learning Engineer AI for Advanced Materials Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) Were looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company thats reinventing how the world … Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team thats fusing AI, science More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that … Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI More ❯

this role, as well as associated experience, then apply with your CV below. Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join … Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI 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 ❯

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 ❯

ECS images – largely in NodeJS.) ETL Pipeline Management: Develop and optimise data pipelines to enable seamless data flow and transformation. (We currently use a mix of SSIS, ETL Works, Airflow, Snowflake and are moving to Airflow/Snowflake only architecture.) Snowflake Management: Create production-ready procedures in Snowflake for moving and analysing data. System Optimisation: Improve existing backend … Can handle sensitive and confidential information Experience working with non-data stakeholders to translate their needs and generate useful results presented in an understandable way Familiarity with orchestration tools (Airflow, DBT) and data warehouse modelling Managing other data engineers Experience with customer and commercial datasets, especially in retail or FMCG A love of pets! About Jollyes Pets Jollyes are 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 ❯

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 ❯

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 ❯