226 to 250 of 458 Apache Airflow Jobs in England

configurations for containerised workloads. Implement infrastructure as code using Terraform, covering cloud network, security, compute, and supporting platform resources. Support orchestration tooling such as Airflow as part of the wider platform capability. Manage secrets, configuration, and access controls using Azure Key Vault and Azure Active Directory. Support hybrid connectivity ...

Pulumi, or equivalent technologies. Experience implementing monitoring and observability solutions using tools such as Prometheus, Grafana, or similar. Familiarity with orchestration platforms including Dagster, Airflow, Prefect, or related technologies. Desirable experience includes: Model serving infrastructure for real-time or batch inference workloads. Multi-tenant platform environments. Vector databases such ...

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 ...

agentic solutions Graph modeling Personalization: propensity/uplift modeling, bandits, causal inference Libraries: scikit‐learn, XGBoost, LightGBM, CatBoost, CausalML, Keras, DoWhy Experience with dbt, Airflow, Looker or Metabase, AWS services such as S3 and Lambda Experience in designing and implementing model/metric endpoints as part of a platform ...

streaming technologies, combining sources from adhoc batches through to real‐time streams >> Experience establishing and developing ETL/ELT tooling (Dagster, dbt, AWS Glue, Airflow or equivalents) >> Experience developing and maintaining API endpoints and data interfaces for developers >> Understanding of Node.js and TypeScript, enabling you to work effectively with ...

into production. Desirable experienceNVIDIA Jetson or other edge AI platforms. NVIDIA DeepStream, GStreamer or FFmpeg. Kubernetes, Kubeflow, ECS, Nomad or other container-orchestration platforms. Airflow, Prefect, Dagster, Metaflow or similar workflow tools. Kafka, Pulsar, Redis Streams, RabbitMQ or other event-driven technologies. Triton Inference Server, Ray Serve, TorchServe, BentoML ...

streaming technologies, combining sources from adhoc batches through to real-time streams> Experience establishing and developing ETL/ELT tooling (Dagster, dbt, AWS Glue, Airflow or equivalents)> Experience developing and maintaining API endpoints and data interfaces for developers> Understanding of Node.js and TypeScript, enabling you to work effectively with ...

scraper health A fast, pragmatic builder mindset, fluent with AI-assisted coding tools (e.g. Claude Code) Experience with a data orchestrator - Dagster ideally, or Airflow/Prefect Nice to have UK planning or property domain knowledge Time Off Rest properly. 37 days off in total, including your birthday ...

help refine problem statements and figure out how to solve themSome extra skills that are great (but not essential): Experience with MLOps tools: Airflow, MLflow, AWS SageMaker, AWS S3, AWS EMR, CI/CDPrior experience in the fraud domain and a strong understanding of fraud detection techniquesExperience designing ...

analytical insights Creative thinking and problem-solving abilities, with a proactive and autonomous approach to work Bonus points: Familiarity with the following systems: Fivetran, Airflow, Snowflake, dbt and Plotly Experience working in fast-paced b2b SaaS or consumer marketplaces Inclusive workforce At Fresha, creating a culture where individuals ...

success, and field teams. Bias for action, strong ownership, and comfort operating in ambiguous, fast-moving environments. Nice to Have Experience with Snowflake, dbt, Airflow, BI platforms, semantic layers, or adjacent cloud data platform ecosystems. Experience creating technical enablement for SQL developers, analytics engineers, or modern data teams. Familiarity ...

advanced analytics — ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with ...

visualisation (e.g. Tableau) is expected; experience with R or Python and Google BigQuery is a plus, alongside familiarity with dbt. Ideally, some experience using Airflow, GitHub and Jira in a collaborative environment and be familiar with using AI tooling in a work environment. At JET, this ...

architectures, or agentic systems. Experience designing external‐facing APIs, including versioning, backwards compatibility, and OpenAPI/REST standards. Familiarity with data infrastructure such as Airflow, Spark, Iceberg, or Kafka. Experience with energy markets. Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications ...

multi-TB or PB scale Strong software engineering skills Experience delivering & maintaining production systems Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking ...

necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systemsWhat ...

advanced analytics — ideally in a hybrid PLG/sales-led SaaS environmentStrong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster)Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables)Experience working directly with product ...

architectures, or agentic systems. Experience designing external-facing APIs, including versioning, backwards compatibility, and OpenAPI/REST standards. Familiarity with data infrastructure such as Airflow, Spark, Iceberg, or Kafka. Experience with energy markets. Equal Opportunity Modo Energy is an equal opportunity employer. Employment decisions are made on the basis ...

libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic and Braintrust More information Enjoy fantastic perks like private healthcare & dental insurance, a generous work from ...

/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic and BraintrustMore information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy ...

Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design ...

organisation* Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance ...

skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborativeproduct mindset- comfort working closely with ...

organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance ...

secureCost-conscious: optimised warehouse spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop ...