51 to 65 of 65 Apache Airflow Jobs in the City of London

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 ❯

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 ❯

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 ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs 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 ❯

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 ❯

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 ❯