151 to 175 of 352 Permanent Apache Airflow Jobs

grade engineering expertise FastAPI – Nice to have Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary: £75,000 - £85,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London More ❯

have, proven experience building APIs in production Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary: £100,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London (1 day More ❯

grade engineering expertise FastAPI – Nice to have Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration CI/CD – GitHub Actions (or similar) Salary: £75,000 - £85,000 + Equity, PMI, Strong pension, clear progression routes Location: Central London More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems If you’re interested, get in touch ASAP with a copy of your most recent and up-to More ❯

with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems If you’re interested, get in touch ASAP with a copy of your most recent and up-to More ❯

and Terramate . Automation & Reliability: Implement and maintain self-healing, highly available architecture with a focus on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering More ❯

and Terramate . Automation & Reliability: Implement and maintain self-healing, highly available architecture with a focus on Kubernetes (GKE) . Platform Support: Manage and optimise key platforms such as Airflow , BigQuery , and PostgreSQL clusters. Developer Experience: Enhance internal developer productivity through Coder remote dev environments, GitLab CI/CD pipelines, and observability tooling. Collaboration: Partner closely with Data Engineering More ❯

data or analytics transformation context. Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business outcomes. Familiarity with Google Cloud ecosystem (BigQuery, Dataflow, dbt, Airflow) is a strong advantage. Experience in consumer brands, retail, or eCommerce is preferred. Ideal Candidate You are an experienced data delivery lead who thrives on enabling analytics transformation. You More ❯

contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or Real Time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform More ❯

model performance in production Automation Architecture Deep knowledge of automation tools including GitHub Actions, Terraform, and Ansible Experience with business process automation (RPA) tools like Appian Workflow orchestration experience (Airflow, Prefect) Ability to build custom automation frameworks using Python or similar languages Full-Stack Development Solid software engineering background with proficiency in Python, JavaScript/TypeScript, Java, or Go More ❯

contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform More ❯

model performance in production Automation Architecture Deep knowledge of automation tools including GitHub Actions, Terraform, and Ansible Experience with business process automation (RPA) tools like Appian Workflow orchestration experience (Airflow, Prefect) Ability to build custom automation frameworks using Python or similar languages Full-Stack Development Solid software engineering background with proficiency in Python, JavaScript/TypeScript, Java, or Go More ❯

remaining deeply hands-on. Strong communicator who can bridge technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar). Familiarity with real-time decisioning systems or lending analytics. What We Offer Ownership of the ML roadmap for a growing fintech with proven traction. More ❯

remaining deeply hands-on. Strong communicator who can bridge technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar). Familiarity with real-time decisioning systems or lending analytics. What We Offer Ownership of the ML roadmap for a growing fintech with proven traction. More ❯

proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit someone who is technically strong, logical, and ambitious, with the maturity to take ownership More ❯

proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit someone who is technically strong, logical, and ambitious, with the maturity to take ownership More ❯

to work with project managers to produce technical specifications. Strong interpersonal skills with the ability to work effectively with a wide range of stakeholders. Understanding of Git. Experience using Airflow or similar. Benefits and Working Arrangements: 5% of annual salary in share options in line with the Company Policy at the end of a successfully passed six-month probationary More ❯

solutions. Apply MLOps best practices such as CI/CD, versioning, testing, and automation. Deploy models on cloud platforms like Azure, AWS, or GCP. Work with tools like MLflow, Airflow, Docker, Kubernetes, and Spark. Stay up to date with the latest techniques, including Generative AI, and explore their application. Guide clients in building internal ML capabilities and following engineering More ❯

projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of ML model development and deployment frameworks (MLFlow, Kubeflow Advanced data querying (SQL) and data engineering pipelines (Airflow Extensive experience with comprehensive unit testing, integration testing, and test coverage strategies Experience working with Product Management teams and ability to translate complex technical concepts for non-technical stakeholders More ❯

you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth — able to design experiments, measure impact, and translate More ❯

you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth — able to design experiments, measure impact, and translate More ❯

drive business outcomes. A collaborative mindset, with openness to feedback and diverse perspectives. Bonus points if you have the following. Experience building and maintaining production-grade data pipelines (e.g. Airflow, Dagster) or integrating data from APIs, web scraping, or third-party providers. Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale More ❯

drive business outcomes. A collaborative mindset, with openness to feedback and diverse perspectives. Bonus points if you have the following. Experience building and maintaining production-grade data pipelines (e.g. Airflow, Dagster) or integrating data from APIs, web scraping, or third-party providers. Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale More ❯

TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. Knowledge of automation, workflow orchestration, and version control tools (e.g., Airflow, Git). Excellent problem-solving abilities, communication skills, and a collaborative mindset. Ability to translate regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile More ❯

TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. Knowledge of automation, workflow orchestration, and version control tools (e.g., Airflow, Git). Excellent problem-solving abilities, communication skills, and a collaborative mindset. Ability to translate regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile More ❯