15 of 15 Permanent Apache Airflow Jobs in the South East

Experience using Git/version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package ...

Knowledge of data governance, metadata management, and data quality frameworks Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Airflow, or similar Excellent stakeholder management and communication skills Experience mentoring engineers and providing technical leadership Strong analytical and problem-solving abilities Experience working within ...

stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large‐scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer ...

Experience building scalable data pipelines and distributed data platforms Knowledge of Kafka, Spark and modern data processing technologies Experience with orchestration tools such as Airflow, Dagster or Prefect Hands-on experience with Docker, Kubernetes and containerised deployments CI/CD experience with a focus on production ownership and reliability ...

Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search) A little bit more about us... ...

maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible … ideally within AWS. Data modelling, transformation and orchestration methodologies. Delivering high-quality, well-documented and thoroughly tested data solutions. Experience with Snowflake, DBT and Apache Airflow. Interest in AI and emerging technologies within the data engineering landscape. THE BENEFITS: You will receive a salary ...

designing enterprise-scale cloud data platforms using Azure, AWS, or Google Cloud. Expertise with technologies such as Databricks, Azure Data Factory, Microsoft Fabric, Snowflake, Airflow, Spark, SQL, and Python. Proven experience building scalable ETL/ELT pipelines and modern data architectures. Between £600 – £900 Per day inside IR35 This ...

preparation specifically geared toward AI model integration Technical Fluency: A strong conceptual understanding of modern data ecosystems, data warehousing, pipeline orchestration tools (e.g., dbt, Airflow), and data governance standards Cross-Functional Communication: Outstanding stakeholder management skills, with a demonstrated ability to foster collaboration between technical developers and non-technical ...

production-grade data pipelines Solid understanding of integration patterns including REST APIs, webhooks, OAuth and event-driven architectures Experience with orchestration tools such as Airflow, Prefect or Dagster Familiarity with cloud environments (AWS, GCP or Azure) Experience with containerisation tools such as Docker and Kubernetes Proven experience integrating multiple ...

join their London-based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work ...

platform as the business continues to invest Tech Environment: Azure Python SQL Server Azure Data Services Data Warehousing Data Engineering & ETL Workflow orchestration (Airflow, Luigi or similar) You'll probably be someone who: Has experience leading or mentoring Data Engineers Still enjoys writing code and solving engineering problems ...

cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats ...

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 ...

integration failures, data inconsistencies, and production issues Key Skills • Python & SQL (production-grade pipeline development) • REST APIs, webhooks, OAuth, event-driven architecture • Orchestration tools: Airflow, Prefect, or Dagster • Cloud platforms: AWS, GCP, or Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time … robust, production-grade data pipelines from scratch. • Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...