101 to 125 of 271 Apache Airflow Jobs in the UK

in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You’ll be joining a collaborative, inclusive team that values technical excellence and continuous learning. Flexible working, strong L&D More ❯

Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You’ll be joining a collaborative, inclusive team that values technical excellence and continuous learning. Flexible working, strong L&D More ❯

leadership, ideally within fintech or cloud-native organisations (AWS preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and More ❯

degree in Computer Science, Engineering, or equivalent practical experience Desirable: Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models) Familiarity with tools such as Airflow, Spark, or Dask for large-scale data processing Awareness of AI ethics, data privacy, and legal considerations in high-stakes environments People Source Consulting Ltd is acting as an More ❯

communicating customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus Soft Skills: Business-oriented thinker with strong communication skills Able to clearly explain complex models to non-technical audiences Skilled in stakeholder engagement and translating More ❯

communicating customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus Soft Skills: Business-oriented thinker with strong communication skills Able to clearly explain complex models to non-technical audiences Skilled in stakeholder engagement and translating More ❯

Hackajob, Welcome to The Jungle) and ATS platforms (Screenloop experience a plus). Solid understanding of tech stacks including Python, React.js, AWS/Azure, and data tools like dbt, Airflow, Snowflake. Ability to conduct structured interviews and technical assessments. Familiarity with software development practices, agile methodologies, DevOps culture, and AI/ML concepts. Exceptional communication and stakeholder management skills More ❯

Preferred Qualifications: AWS certifications (e.g., Solutions Architect Associate/Professional, DevOps Engineer). Experience deploying and maintaining data processing and machine learning workloads. Familiarity with MLOps tools (e.g., MLflow, Airflow, BentoML). Knowledge of distributed systems, caching strategies, content delivery networks (CDNs), and load balancing. Understanding of Zero Trust Network (ZTN) concepts using Cloudflare. Basic experience with database administration More ❯

pipelines. Implement and optimize automation processes using infrastructure-as-code (Terraform) Build and maintain data pipelines using Airflow. Manage our tech stack including Python, Node.js, PostgreSQL, MongoDB, Kafka, and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and resolving production issues. Contribute to the development of new services as More ❯

EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as Data Lake, Synapse, Event Hubs, and Functions. Authoring reports and dashboards with either open More ❯

cross-functional teams Bonus points: Experience with infrastructure as code tools (e.g. Terraform, CloudFormation) and CI/CD pipelines. Experience working with AWS Experienced with job orchestration frameworks (e.g. Airflow, MWAA on AWS) Have a strong interest in the health/fitness technologies Our tech stack Check out our Tech Radar here which we are constantly iterating, and below More ❯

business analysts and stakeholders, ensuring technical solutions meet business needs. Experience with data ingestion tools, like Fivetran. Advantageous Exposure to deploying applications with Kubernetes. Experience with Data Orchestrator tools (Airflow, Prefect, etc.) Experience with Data Observability tools (Montecarlo, Great Expectations, etc.) Experience with Data Catalog tools (Amundsen, OpenMetadata, etc.) Interview Process Call with the talent team Take home task 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 ❯

have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control tools such as Git You will have exposure to Python for data or analytics engineering tasks (preferred) You will demonstrate excellent problem More ❯

and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous deployment, and testing. Industry, or equivalent academic experience in researching and developing Generative AI powered Products and services. More ❯

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

PyTorch, TensorFlow, Hugging Face) Proven MLOps, big data, and backend/API development experience Deep understanding of NLP and LLMs Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes Strong collaboration, problem-solving, and coding best practices Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source contributions. More ❯

PyTorch, TensorFlow, Hugging Face) Proven MLOps, big data, and backend/API development experience Deep understanding of NLP and LLMs Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes Strong collaboration, problem-solving, and coding best practices Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source contributions. More ❯

GDPR). Strong communication and stakeholder management skills. Preferred: Cloud certifications (AWS, etc.). Experience with API data modeling, CI/CD (GitHub Actions). Familiarity with tools like Airflow, DBT, and Atlan. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/DA Postcode: SW1 4DF #dari More ❯

with scripting languages such as Python or Scala . Demonstrated ability to create impactful dashboards using Power BI and Tableau . Deep understanding of data pipeline orchestration tools (e.g., Airflow, dbt, Azure Data Factory). Experience working in agile, cross-functional teams, collaborating closely with data analysts, engineers, and business stakeholders. Strong problem-solving skills, attention to detail, and More ❯

AND EXPERIENCE: The ideal Head of Data Platform will have: Extensive experience with Google Cloud Platform (GCP), particularly BigQuery Proficiency with a modern data tech stack, including SQL, Python, Airflow, dbt, Dataform, Terraform Experience in a mid-large sized company within a regulated industry, with a strong understanding of data governance. A strategic mindset, leadership skills, and a hands More ❯

hands-on background in data engineering, with 5+ years working on modern data platforms Experience leading cloud data migrations- GCP and BigQuery strongly preferred Proficiency in SQL, Python, dbt, Airflow, Terraform and other modern tooling Excellent understanding of data architecture, governance, and DevOps best practices Proven leadership or team management experience within a regulated or mid-to-large tech More ❯