1 to 25 of 46 Apache Airflow Jobs in London

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy click apply ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business … Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems Preferred qualifications, capabilities, and skills Data modeling ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business … Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems Preferred qualifications, capabilities, and skills Data modeling ...

PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business … Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems Preferred qualifications, capabilities, and skills Data modeling ...

operational issues. Understanding of platform security, resilience, scalability and availability. Experience working within Agile and/or DevOps delivery environments . Desirable: Helm, ArgoCD, Airflow, dbt, Bash, Ansible, Packer, Elasticsearch/OpenSearch, Prometheus, Grafana, ELK or Datadog. Experience working within public sector, utilities or other regulated environments is advantageous. ...

principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal ...

running production pipelines end to end Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with cloud data platforms (AWS, Azure or GCP) and containerised deployment (Docker, Kubernetes) Good engineering practice: version ...

multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building scalable backend applications Understanding ...

compliant solutions that align with GDPR and healthcare data governance standards Stack: Snowflake Snowflake Cortex AWS - S3, Glue, Lambda, Step Functions Python SQL dbt Airflow Terraform Docker GitHub CI/CD Requirements Must have advanced SQL and Python + experience delivering modern cloud-based data platforms Must have enterprise ...

compliant solutions that align with GDPR and healthcare data governance standards Stack: Snowflake | Snowflake Cortex | AWS - S3, Glue, Lambda, Step Functions | Python | SQL | dbt | Airflow| Terraform | Docker | GitHub CI/CD Requirements Must have advanced SQL and Python + experience delivering modern cloud-based data platforms Must have enterprise ...

relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity ...

analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/ ...

analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/ ...

analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/ ...

production problems and taking responsibility for critical infrastructure. Startup Mindset: Proactive, resourceful and comfortable taking ownership in a fast-moving engineering environment. Bonus : with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems. Benefits An Ambitious, Collaborative Culture: Join ...

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 ...

experience as a Data Engineer or Senior Data Engineer Expert-level Python development skills Extensive hands-on experience with Databricks in enterprise environments Strong Apache Spark and PySpark expertise Advanced SQL development and optimisation skills Experience designing and building large-scale ETL and data integration solutions Strong understanding … environments Exposure to risk, trading, treasury or regulatory data domains Experience with Kafka, streaming technologies or real-time data processing Databricks certifications Experience with Airflow, Databricks Workflows or similar orchestration tools CI/CD pipeline development and DevOps practices Docker and Kubernetes Experience supporting data science or machine learning ...

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 ...

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 ...

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 ...

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 systems ...

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 ...

experimentation, statistical analysis and performance measurement. Ability to influence senior stakeholders and translate analytics into commercial outcomes. Experience with tools such as BigQuery, dbt, Airflow, Git, Tableau or Looker is advantageous. Python experience is beneficial. What They Offer Up to £100,000 base salary plus bonus and benefits. Hybrid ...

Python, APIs, and distributed systems. Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management. Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes. Experience working within AWS, GCP, or Azure environments. Previous mentoring or leadership experience with an interest in developing management ...