151 to 175 of 235 Apache Airflow Jobs in the UK

Hustler-mentality. You can take work beyond the analysis and get things done. Good to have: Experience in Fintech domain Knowledge of utilities like Airflow/Github/DBT Experience with user-facing products and data *** Please note we are not able to offer visa sponsorship for this level ...

focused on what works in production. Comfortable owning ambiguity and making trade-overs. Languages: English A plus, but not required: workflow orchestration tools (Temporal, Airflow, Step Functions); experience building internal tools or agents; familiarity with regulated or enterprise environments; exposure to MLOps or AI evaluation frameworks. Why Planet Planet ...

computational improvements Making improvements and/or fixing bugs by submitting patches to open-source projects in our stack, such as Spark, Iceberg, Hadoop, Airflow, and many others Acting as an expert on Spark and Scala Mentoring engineers (including through pairing, design discussions, and knowledge-sharing sessions) and helping ...

individual model work. Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL. Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment End-to-end understanding of the ML lifecycle - data ingestion through training, packaging ...

treasury or liquidity management domains. You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights. You are commercially minded. Able to translate your ...

stakeholder communication skills Desirable: Experience overseeing or supporting data ingestion pipelines, including APIs and event driven data sources Familiarity with orchestration tools such as Airflow and modern ELT architectures Experience governing or implementing data CI/CD pipelines (e.g. dbt tests, deployment pipelines, automated checks). We currently … design input, reviews, and mentoring Influence how analytics data is built, trusted, and operated at scale Work with a modern stack: AWS, Snowflake, dbt, Airflow, SQL, and Python Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays , your potential ...

PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working ...

About this role: At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. You can’t spell “Data Orchestration” without “Data”, and we’re looking … data platforms from cloud-native component parts - we have a healthy mix of build vs. buy; sometimes building is the right choice. Experience with Apache Airflow. #LI-Hybrid At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion ...

role involves using technology to automate data processes, working with SQL, DBT, Snowflake, AWS, Airflow, and Python. About Hard Rock Digital Hard Rock Digital is a company providing digital solutions for the iGaming industry. Estimated Benefits Health Insurance Paid Time Off Benefits estimated based on industry standards #J ...

work with modern cloud technologies on a high-profile transformation programme. Key Skills Data Architecture & Data Modelling Data Vault, 3NF & Dimensional Modelling Snowflake DBT Airflow AWS and/or Azure Data Warehousing Cloud Data Migration For more information or to apply directly, please email . I review applications daily ...

understanding of functional paradigms and type theory. Confident JVM knowledge. Modern programming languages knowledge in our primary languages (Java, Python, Clojure). Experience with Airflow or other Python-based workflow orchestration tools. Proficiency in domain-driven design and domain modeling. Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git. ...

building and optimising Semantic Layers for BI, reporting and analytics consumption Expert Level Data Modelling Strong hands-on experience with: Snowflake AWS dbt Databricks Airflow Ability to work in a fast-paced delivery environment and remain close to the technical implementation Desirable -Customer Loyalty, Rewards or Membership Programme experience ...

ideally within a large‐scale or regulated environment. AWS Experience: Strong working knowledge of AWS and cloud‐first data pipeline orchestration tools such as Airflow, Glue, or EMR. A Security Mindset: Understanding of compliance and security when managing sensitive data pipelines. Strong Automation Skills: Comfortable using Python and Shell ...

large‐scale or regulated environment. AWS Experience: You have a strong working knowledge of AWS and cloud‐first data pipeline orchestration tools (like Airflow, Glue, or EMR). A Security Mindset: You understand the importance of compliance and security when managing sensitive data pipelines. Strong Automation Skills ...

working on the most impactful opportunities NICE TO HAVE BUT NOT ESSENTIAL Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker. Practically used + applied AI/machine learning techniques and built predictive models to get deeper insights Knowledge of the FinTech ...

mentality. You can take work beyond the analysis and get things done. Good to have: Experience in the Fintech domain Knowledge of utilities like Airflow/Github/DBT Experience with user-facing products and data Qualifications Additional Information Some of our benefits: 💰Base salary ...

large-scale or regulated environment.* AWS Experience: You have a strong working knowledge of AWS and cloud-first data pipeline orchestration tools (like Airflow, Glue, or EMR).* A Security Mindset: You understand the importance of compliance and security when managing sensitive data pipelines.* Strong Automation Skills ...

data flow, including supporting delivery in air-gapped and other restricted environments. Delivering data applications in an automated and continuous fashion. Utilising tools like Airflow for orchestration and automating data pipeline deployments using DevOps tools and techniques (Docker, Containers, Terraform, Kubernetes) Building data pipelines using both cloud-native … experience as a DataOps Engineer delivering DataOps solutions in public sector or similarly regulated environments. Developing, orchestrating and maintaining data pipelines using tools like Airflow, Prefect, or Dagster. Containerising data applications using Docker and deploying them to Container Platforms (EKS, AKS and Kubernetes). Implementing CI/CD pipelines ...

infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed systems: event-driven architectures, including Kafka Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc Activities Integration of commercial and open-source LLMs into agentic workflows Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI Model ...

driving engineering best practices. Ability to influence technical direction and architectural decisions. Comfortable remaining hands-on while operating in a leadership capacity. Desirable Skills Airflow Databricks AI-focused development experience Semantic layer experience Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse ...

continuous improvement and automation. Desirable Experience Experience within Financial Services or other highly regulated environments. VMware virtualisation platforms. F5 Load Balancers. Infoblox DNS. Apache Airflow. Prometheus, Grafana and Loki. Infrastructure-as-Code methodologies. Enterprise patching programmes and operating system lifecycle management. Platform modernisation or automation initiatives. What ...

platform engineer and presenting a business case to a C‐minus‐1. Preferred, not required Experience with the modern data stack: Snowflake, Databricks, dbt, Airflow, BigQuery, Spark, or similar. Data observability, data quality, or AI observability experience is a strong plus. Familiarity with MEDDPICC, Command of the Message ...

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 ...

/CD experience. Highly Desirable Familiarity with OneTick, PostgreSQL, ClickHouse, Snowflake, Databricks, kdb+ or similar. Order book reconstruction Tick-to-bar aggregation Airflow, Dagster, Prefect or MLflow Experience supporting quantitative research or trading systems Multi-asset market data (Equities, Futures, FX, Options, ETFs, CFDs) What We're Looking … market data engineering with proven experience building reliable, scalable data platforms. Our non-negotiable requirements are: Expert Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome ...

including model deployment, monitoring, evaluation, and lifecycle management Strong hands‐on understanding of modern data and AI tooling, ideally including SQL, Python, Snowflake, dbt, Airflow, Metabase, Tableau, and AWS‐based data services Experience with data ingestion, streaming, and change data capture tooling, such as Fivetran, Estuary, or similar platforms … standards, and enablement for analytics engineers Ability to oversee API‐based and batch data extraction processes, particularly those built in Python and orchestrated using Airflow Understanding of machine learning tooling and lifecycle management, ideally including DVC, MLflow, Evidently AI, or equivalent platforms for experiment tracking, versioning, monitoring, and evaluation ...