51 to 75 of 77 Apache Airflow Jobs in England

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle ...

following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot and improve data products, ensuring reliability and quality You will have an academic record of achievement, minimum 2.1 at a top tier university Excellent training ...

following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot and improve data products, ensuring reliability and quality You will have an academic record of achievement, minimum 2.1 from a top tier university. Excellent training ...

with AWS/Azure and Kubernetes Proven delivery of large-scale migration programmes Desirable: CI/CD and DevOps experience Integration with tools like Airflow, Snowflake, Databricks Experience in regulated/public sector environments What you need to do now If you're interested in this role, click 'apply ...

data and performance insights What We're Looking For Strong background in data analytics Advanced SQL skills and experience building data pipelines (e.g. DBT, Airflow) Experience with marketing analytics tools (e.g. Google Analytics, GTM, Braze, Appsflyer, Firebase) Proven experience running A/B tests and defining KPIs and attribution ...

GenAI or advanced NLP projects such as NER, table extraction, OCR integrations, or GNN solutions. Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R‐Shiny/Dash/Streamlit. Openness to evaluate and adopt emerging technologies and programming languages as needed. Public contributions ...

automation, security scanning) Scripting: Bash/Linux/Python Understanding/ability to work in air gapped environments Understanding ML concepts and tools (MLFlow, Airflow) Cloud skills (AWS + Google) Skills: Docker ML Ops AWS Python Bash Kubernetes Docker Containerization ...

commercial experience in analytics within a marketing or digital environment Advanced SQL skills and experience building data pipelines with tools such as DBT or Airflow Experience with marketing analytics platforms such as Google Analytics, GTM, Braze, Appsflyer, or Firebase Strong understanding of experimentation, A B testing, and attribution modelling ...

Comfortable acting as a technical authority - advising on approach and best practice and communicating clearly with non-technical stakeholders Experience with Azure, SQL, Dagster, Airflow or similar tools acceptable Experience with Python scripting, React-based applications, FactSet and third-party web APIs Desirable: Understanding of financial data experience with ...

Service Meshes etc.) Experience with configuration management tools (Ansible/Puppet/Kapitan/Terraform) Experience with distributed data platforms (Kafka/Flink/Airflow) Comfortable using cloud native and containerisation technologies (Kubernetes/Docker) Good Linux systems knowledge (experience with RHEL desirable) Broad knowledge across network technologies, server ...

than one-off scripts or analysis tooling. Strong Python development skills, with experience building performant, maintainable applications. Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. Understanding of retries, dependency management, idempotency, backfills, and operational recovery. Experience with analytical or columnar databases such as ClickHouse or similar ...

influence stakeholders across multiple regions. Technical Environment Experience across some of the following technologies is advantageous: AIops and enterprise automation frameworks Workflow orchestration platforms (Airflow, Argo, Prefect) Configuration and automation tools (Ansible, Salt, Puppet) ITSM and ITOM platforms Event-driven automation and runbook-as-code approaches Messaging technologies such ...

building and leading a team of engineers working in a related system. Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc. Ability to attract, hire, and coach engineers who meet the Databricks hiring standards – can up‐level existing team ...

your initiative and get on with resolving it! From a tech perspective, it would be most excellent if you've come from an AWS, Apache AirFlow, Python, Spark type of environment and understand these technologies (or alternatives) and what they do. You'll still be considered ...

building and leading a team of engineers working in a related system Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc. Ability to attract, hire, and coach engineers who meet the Databricks hiring standards - can up level existing team ...

Develop batch and ELT/ETL data workflows for ingesting and processing large datasets Work with technologies such as Python, Java, Spark, SQL, and Airflow Apply good software engineering practices, including testing, documentation, and CI/CD Contribute to cloud‐based systems (AWS), focusing on reliability, monitoring, and automation … data engineering concepts such as data lakes, batch processing, and distributed systems Experience building or operating data pipelines using tools like Spark and Airflow Familiarity with cloud platforms (AWS preferred) and production monitoring Clear communication skills and a collaborative approach to problem‐solving. Why join us? Join our team ...

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). ...

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). ...

focus areas: Building scalable data pipelines using Apache Spark & Airflow Working within a cloud-based, containerised environment (Kubernetes) Contributing to a wider data platform modernisation programme Supporting both batch and streaming workloads Tech: Python, Java, Spark, Airflow, SQL, Cloud (AWS/Azure), Kubernetes (Kafka/streaming nice ...

within BigQuery inline with our Information Security practices Oversee and provide guidance to the data teams in implementing ETL processes using Terraform, dbt and Airflow to streamline data flow Continuously assess and improve the data architecture to enhance performance, scalability, and security Participate in strategic planning and provide insights … requirements (e.g. data access, data retention, vulnerability management etc) Expert knowledge of modern data stack in particular Google Cloud Storage (GCS), Google BigQuery (GBQ), Airflow and DBT or similar Demonstrated ability to assess needs of the relevant internal teams, creatively approach solutions, decide and influence appropriate courses of action ...

Location: UK Based/Hybrid Contract: 6 Months Initial Rate: £600-700 per day Start: ASAP We’re looking for a highly competent Snowflake Data Consultant to support a major cloud data transformation programme. This ...

account management, so your focus stays exactly where it belongs, on hunting and closing. You will sell a respected range of air containment, airflow and efficiency solutions that help data centres cut costs, improve performance and reduce their carbon footprint, backed by a technical team that knows the detail. ...

within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems … Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity ...

distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure reliability and quality Collaborate with engineering teams to deliver robust, maintainable systems Key Requirements: Experience building … Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production data systems Strong problem-solving skills and attention to detail Ability ...

distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow Test, troubleshoot, and improve data products to ensure reliability and quality Collaborate with engineering teams to deliver robust, maintainable systems Key Requirements: Experience building … Experience working with at least some of: Distributed computing frameworks (e.g. Spark, Databricks) Cloud platforms (AWS, Azure, or GCP) Workflow orchestration tools (e.g. Airflow) Strong understanding of data system reliability, testing, and performance Experience troubleshooting and improving production data systems Strong problem-solving skills and attention to detail Ability ...