76 to 100 of 259 Apache Airflow Jobs in England

pipelines. Work within an Azure-based environment (preferred). Provide input into best practices across the data function and help “keep the lights on.” Tech Stack Core: Python, SQL, Airflow, dbt, Terraform, CI/CD, Power BI Nice to have: Kimball methodology Cloud: Azure (preferred) What They’re Looking For 2–4 years’ experience in a Data Engineering role. More ❯

pipelines. Work within an Azure-based environment (preferred). Provide input into best practices across the data function and help "keep the lights on." Tech Stack Core: Python, SQL, Airflow, dbt, Terraform, CI/CD, Power BI Nice to have: Kimball methodology Cloud: Azure (preferred) What They're Looking For 2-4 years' experience in a Data Engineering role. More ❯

and 20-30% on leadership and communication, ensuring all key builds and improvements flow through this individual. Working with a modern tech stack including AWS, Snowflake, Python, SQL, DBT, Airflow, Spark, Kafka, and Terraform, you'll drive automation and end-to-end data solutions that power meaningful insights. Ideal for ambitious, proactive talent from scale-up or start-up More ❯

AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data More ❯

AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms (GCP preferred, or AWS/Azure) 🔍 Strong analytical mindset and ability to solve complex problems 🤝 Excellent communication and collaboration skills ⚙️ Experience with data More ❯

inclusive and collaborative culture, encouraging 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 growth to take their fantastic More ❯

focused, and able to contribute quickly in a fast-moving environment. Nice to Have Experience with Power BI or other data visualisation tools. Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. Understanding of CI/CD practices in data and analytics engineering. Knowledge of data governance, observability, and security best practices in cloud environments. More ❯

spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward More ❯

in Computer Science or related field, ideally from a Russell Group university) Hedge fund experience is essential Proficiency in SQL, Python, AWS, and modern data tools Experience with Git, Airflow, and data orchestration Strong troubleshooting skills and a track record of improving data reliability Excellent communication and teamwork skills A self-starter mindset with a passion for learning and More ❯

stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... Are More ❯

stacks and cloud technologies (AWS, Azure, or GCP). Expert knowledge of Python and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... Are More ❯

experience in data engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in More ❯

patterns and core programming concepts. Experience with the core Python data stack (Pandas, NumPy, Scikit-learn, etc) developed in a commercial setting, an appreciation of pipeline orchestration frameworks (e.g., Airflow, Kubeflow Pipelines, etc), applied knowledge of statistical modelling and/or experience in implementing and supporting ML systems. Demonstrable understanding of key concepts including Python testing frameworks, CI/ More ❯

align with enterprise standards and support cross-team reuse. Driving adoption of best-in-class DevOps and Platform Engineering techniques — researching and piloting emerging technologies such as MCP Servers , Airflow , Grafana Cloud , and Crossplane to keep the platform modern and efficient. Championing security, governance, and observability through integrated tooling ( CloudWatch , CloudTrail , Prometheus , Grafana , and centralised observability). What you … and templating skills. Hands-on experience with CI/CD and GitOps tooling , including GitHub Actions , Jenkins , ArgoCD , or FluxCD . Experience designing and supporting data pipeline orchestration (e.g., Airflow, Astronomer ) within secure, multi-cloud environments. Experience with Backstage , developing scaffolder templates , managing catalog integrations , and improving developer self-service capabilities. Programming/scripting proficiency in Python and Bash … and MCP Server integrations for data-driven automation. Understanding of Platform as a Product , Backstage developer portals , and the developer experience lifecycle . Experience with data pipeline orchestration using Apache Airflow or Prefect . A passion for continuous learning and staying ahead of modern DevOps, Platform Engineering, and GitOps practices. More ❯

align with enterprise standards and support cross-team reuse. Driving adoption of best-in-class DevOps and Platform Engineering techniques — researching and piloting emerging technologies such as MCP Servers , Airflow , Grafana Cloud , and Crossplane to keep the platform modern and efficient. Championing security, governance, and observability through integrated tooling ( CloudWatch , CloudTrail , Prometheus , Grafana , and centralised observability). What you … and templating skills. Hands-on experience with CI/CD and GitOps tooling , including GitHub Actions , Jenkins , ArgoCD , or FluxCD . Experience designing and supporting data pipeline orchestration (e.g., Airflow, Astronomer ) within secure, multi-cloud environments. Experience with Backstage , developing scaffolder templates , managing catalog integrations , and improving developer self-service capabilities. Programming/scripting proficiency in Python and Bash … and MCP Server integrations for data-driven automation. Understanding of Platform as a Product , Backstage developer portals , and the developer experience lifecycle . Experience with data pipeline orchestration using Apache Airflow or Prefect . A passion for continuous learning and staying ahead of modern DevOps, Platform Engineering, and GitOps practices. More ❯

experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real More ❯

than reactive. Tech Stack Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration Tool: Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform For more information on how we process your personal data, please refer to HCLTech More ❯

than reactive. Tech Stack Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration Tool: Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform For more information on how we process your personal data, please refer to HCLTech More ❯

stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML workflows, Spark, Airflow, or trading systems Why Join Up to £140K Up to 100% bonus Relocation package Flat, entrepreneurial team structure More ❯

stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML workflows, Spark, Airflow, or trading systems Why Join Up to £140K Up to 100% bonus Relocation package Flat, entrepreneurial team structure More ❯

background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp More ❯

time-series and geospatial data concepts. Familiarity with collaborative software development practices (CI/CD, version control, testing). Bonus: experience with distributed computing (Spark, Dask), container orchestration (Kubernetes, Airflow), and dashboarding/uncertainty quantification. This is a rare chance to build differentiated infrastructure that directly supports alpha generation. You'll work closely with world-class researchers and technologists More ❯

and visualisation across the organisation What They’re Looking For Proven experience designing and maintaining data pipelines in production environments Strong Python and SQL skills; familiarity with frameworks like Airflow, Spark, or similar Solid understanding of data modelling, architecture, and warehousing best practices Comfort working with cloud platforms (AWS, Azure) and infrastructure tools (e.g. Terraform, SageMaker) Willingness to gain More ❯