26 to 48 of 48 Apache Airflow Jobs in the UK excluding London

cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats ...

building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data platforms reliably. A track record of improving data reliability and quality Excellent communication skills and the ability ...

building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data platforms reliably. A track record of improving data reliability and quality Excellent communication skills and the ability ...

pipelines. Proficiency in SQL, Python, AWS, and other modern data engineering technologies. Experience with version control tools (e.g., Git) and workflow orchestration platforms (e.g., Airflow). Proven ability to test, troubleshoot, and improve data platforms, ensuring high levels of reliability and data quality. Strong interpersonal and communication skills with ...

Data Engineer Location: Remote – with requirement to visit London based office twice a month Hours: 37.5 Hours a week (Monday – Friday 9:00am – 17:00pm) Salary Range: £40,000 - £80,000 per annum (Depending on ...

Data Engineer within GCP. Experience building production-grade data pipelines and platforms. Expertise with technologies such as BigQuery, Dataflow, Cloud Composer/Airflow, Pub/Sub and Cloud Storage. Strong SQL and data engineering fundamentals. An engineering mindset and a passion for solving problems. Confidence working independently while remaining ...

operate across engineering, product, and business functions Desirable Experience LLM applications and document-processing platforms Retrieval-Augmented Generation (RAG) React and Next.js Snowflake Airflow Data engineering and ETL pipelines Kubernetes and cloud-native infrastructure Supply chain, procurement, or operational systems Ideal Background Suitable candidates may come from: Product ...

Python, APIs, and distributed systems. Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management. Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes. Experience working within AWS, GCP, or Azure environments. Previous mentoring or leadership experience with an interest in developing management ...

LLMs, or automation technologies to improve business processes. Strong understanding of modern analytics and data platforms. Experience with the following would be beneficial: dbt, Airflow and Git. Looker or similar BI tools. Python for analysis or automation. Experience within fintech, financial services, or another regulated industry. What They Offer ...

Companys hybrid work from home policy. Qualifications Commercial GCP background including BigQuery, Dataform and GCS Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python Relational set-based processing through complex SQL queries Proven ability to leverage AI within a production workflow Background working within a Data ...

with product squads and business stakeholders Develop robust, production-quality software in Python and build large-scale data workflows using orchestration platforms such as Airflow, while driving technical execution across complex initiatives. Use expertise in cloud computing (AWS and Azure) to build and optimize AI infrastructure Champion ML governance ...

field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership and influence – Track record of mentoring and coaching engineers, driving ...

improve processes or analytical workflows. Experience within financial services, fintech or another regulated environment is highly desirable. Python experience is preferred. Experience with dbt, Airflow and Git would be advantageous. Experience with Looker, Tableau or another enterprise BI platform. Background in operational analytics, workforce management, customer service ...

experience, including deployment and management \n Previous experience working within air-gapped environments \n Strong understanding of APIs and microservices \n Experience with Prefect, Airflow or similar data pipeline/orchestration technologies \n Experience configuring and integrating workflow tooling such as Jira \n \n Experience with database and storage ...

deploying, monitoring and maintaining ML systems at scale Ability to balance hands-on engineering with people management responsibilities Experience with AWS, Snowflake, MLflow, Airflow or similar tooling would be advantageous SALARY AND BENEFITS £110,000 - £125,000 base salary Annual bonus Hybrid working model Private medical insurance Enhanced family ...

Engineering, or MLOps environments Experience building, deploying, and supporting machine learning solutions at scale Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution SALARY AND BENEFITS Up to £125,000 base salary ...

with cloud platforms (AWS, Azure, GCP) Well-versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. You have external ...

development API gateway technologies, including Tyk, Apigee or DataPower Cloud and application hosting using PCF, TAS or AWS Integration and batch processing using StreamSets, Airflow, ESP Services or GSS CI/CD pipelines and automated testing Technical design, code reviews and production troubleshooting You'll have the opportunity ...

integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time … robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

Build data solutions for complex Defence challenges while broadening your technical experience across varied consultancy projects. Develop your skills across modern data engineering technologies and production environments. What you will need Hands-on data engineering ...

role). Cloud Infrastructure & Data Pipelines: Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow. Production Operations: Support production applications, maintain SLAs, and create continuous evaluation metrics for ML solution performance. Qualifications & Skills 2-5 years' hands-on software … Hands-on experience building GenAI applications, LLM workflows, and data pipelines. Cloud experience across AWS or Azure ecosystems along with data orchestration tools (e.g., Airflow). Practical understanding of AI safety, prompt injection handling, and PII/MNPI compliance guardrails. If you have 2-5 years' experience ...

globally recognised product and data technology company Data pipeline, data warehousing, API layer and big data infrastructure at enterprise scale Java, Python, AWS, PostgreSQL, Airflow, Redshift and more across a modern data stack Hybrid working Salary up to £85,000 Why This Organisation Our client connects thousands of brands … with a public cloud provider, ideally AWS Experience with ETL, data modelling and large-scale data warehousing solutions Experience with scheduling services such as Airflow or Oozie Experience with modern build tools such as Maven, Jenkins and GitHub Prior technical leadership and/or mentorship experience Strong analytical, technical ...

migrate data sets into their AWS Snowflake platform. Designing and implementing dbt models that power clean, consistent metrics. Buidl out orchestartion pipelines using Airflow Creating clear documentation for dashboards, metrics, and models. Ensuring optimal performance and cost efficiency across Snowflake Supporting a stakeholder-first approach to data usability … access. KEY SKILLS AND REQUIREMENTS Extensive experience operating within Snowflake environments Airflow for data orchestration. Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. Strong communication skills with the ability to translate complex needs into elegant data solutions. Focus on usability, documentation, and data ...