176 to 200 of 463 Apache Airflow Jobs in England

database querying languages Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration ...

practical experience. Preferred Skills Experience with gradient-boosted tree models, neural networks, and optimization solvers in production. Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data scientists to operationalize research code. Multi-cloud experience across AWS, GCP, and Azure. ...

metrics layers. Experience applying AI to Analytics Engineering workflows or developing AI-ready data products. Knowledge of orchestration and ingestion tools such as Airflow,DagsterorFivetran. Python experience for automation or data engineering tasks. Experience working in regulated financial services or another highly data-driven organisation. Snowflake experience, given ...

implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricksAbility to think strategically and relate architectural decisions and recommendations ...

conscious: optimised warehouse spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignore Platform 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 ...

models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with the client …/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving ...

senior stakeholders Required Experience 10+ years' experience across Data Engineering or closely related data disciplines Strong hands-on Python development experience Strong PySpark/Apache Spark engineering experience Extensive hands-on experience with Databricks , including notebooks, jobs/workflows and Delta Lake Advanced SQL and relational database experience Strong … platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data for Counterparty Credit Risk , including exposure/counterparty datasets Knowledge of areas such ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking … relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL.* **Orchestration** Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect.* **Data Quality and Lineage** Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. ...

data engineer to design, build, and support scalable data pipelines powering Moody’s next‐generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, collaborating with cross‐functional partners to deliver reliable data solutions and continuously improve platform performance ...

pipelines, mentor engineers, and align data solutions with business goals. You will work with SQL, Python and cloud-native tools like Databricks, Snowflake, and Airflow, shaping data governance and CI/CD practices while collaborating with analysts, architects and stakeholders. #J-18808-Ljbffr ...

code Requirements: Must have strong, commercial AWS (contract) Data Engineering experience Must bring solid knowledge of data warehousing and modelling Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial Must have experience with Redshift Nice to have: Experience with dbt/lake formation ...

code Requirements: - Must have strong, commercial AWS (contract) Data Engineering experience - Must bring solid knowledge of data warehousing and modelling - Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial - Must have experience with Redshift Nice to have: - Experience with dbt/lake formation ...

TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid ...

FastAPI) a huge plus; Experience in Kubernetes, Docker, Spark and related monitoring tools (e.g. DataDog, Grafana, Prometheus) for DataOps a huge plus; Experience with Airflow a huge plus; Experience with dbt for pipeline modelling also beneficial; Skilled at shaping needs into a solid set of requirements and designing scalable ...

Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest AI based Code developed and AI-built automated data pieplines Key Characteristics Technology expert who constantly pursues knowledge enhancement ...

solution design responsibility. You'll ideally have: Strong commercial experience with Python & Snowflake Experience mentoring or technically leading other engineers Experience with dbt, Airflow or similar data engineering tooling A good understanding of data modelling and modern data platform architecture Experience working with AWS (ideally) or another major cloud ...

ensure data accuracy and reliability. Required Technical SkillsStrong proficiency in Python. Experience with monitoring and observability tools. Hands-on experience with workflow orchestration tools - Apache Airflow. Familiarity with data pipelines and ETL processes. Proficiency with containerization and orchestration technologies - Docker, KubernetesStrong understanding of CI/CD pipelines and toolsStrong ...

technical issuesData Engineers must have:2:1 or above Hons. degree or equivalent in mathematics, computer science or comparable scientific discipline.PythonBuild ETL Pipelines (e.g., Airflow)JavascriptBuild and CI/CD toolsWrite SQL codeCreate and implementing Rest APIsGIT and GIT branchingBI Tools such as Looker, Qlik, Power BI, TableauContainerisation technologiesGoogle ...

large tables. Python for data transformation and pipeline orchestration. Experience with a distributed query engine (Presto, Spark, Hive or similar) and a workflowscheduler (Airflow or similar). Comfortable working in a code review based workflow with Git. Ability to work as part of a team, as well as work ...

notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform/Spacelift #J-18808-Ljbffr ...

notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform/Spacelift ...

Python and SQL, familiarity with Scala or R advantageous Experience with data orchestration and workflow management tooling such as Azure Data Factory or Airflow Please see full job description attached. What you can expect from us We believe doing your best work starts with feeling supported both professionally ...

database querying languages Experience in large‐scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration ...

MLOps principles with experience deploying models in production Proficiency in Python and tools/platforms such as Azure, AWS, GCP, Databricks, MLFlow, and Airflow Strong communication skills with the ability to engage business and technical stakeholders We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance ...

data ecosystem, particularly BigQuery. Advanced SQL skills and strong experience with Python. Strong experience with modern data engineering and orchestration technologies such as dbt, Airflow/Cloud Composer, and related tools. Experience designing scalable data platforms, pipelines, data models, and integration patterns. Strong understanding of data governance, security, quality ...