1 to 25 of 51 Apache Airflow Jobs in London

Data Engineer/Architect - Apache Airflow - Astronomer Location: London - 3 days a week onsite (non-negotiable) Duration: 6 Months Rate: £700-£800 per day Inside IR35 The Role We're supporting a highly reputable client in the Financial Services industry who are seeking an experienced Data Engineer … support them through a period of significant change across their Technology Delivery function. The team are in the early stages of adopting Apache Airflow and Astronomer as their core orchestration platform/tooling for their DBT projects. To move forward with the process and maximise the tooling ...

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 ...

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 ...

Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with ...

Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with ...

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 ...

management and international regulatory compliance. YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA Strong experience designing, building and maintaining scalable data pipelines and integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working ...

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 ...

cloud data AWS Aurora PostgreSQL AWS Database Migration Service (DMS) Snowflake Azure Google Cloud Platform (GCP) Data integration and engineering Informatica Talend Apache Airflow Python for data processing and automation Data warehouse design and optimisation APIs and event-driven architecture REST APIs GraphQL Apache Kafka Event-driven ...

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 ...

with reverse ETL and moving data between warehouses and operational systems Strong understanding of APIs Familiarity with modern data engineering tools such as dbt, Airflow, Fivetran or Census Excellent stakeholder management skills If you're an experienced Senior Data Engineer who enjoys solving complex integration challenges, working with modern ...

initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling ...

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/ ...

common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps) Experience in workflow orchestration with tools such as Argo Workflow, Airflow, and scientific workflow tools such as Nextflow, Snakemake, VisTrails, or Cromwell Experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication ...

Snowpark Iceberg Tables Secure Data Sharing Snowflake Cortex Data Integration Fivetran SnapLogic Enterprise SaaS integration patterns Data Transformation & Orchestration dbt Cloud/dbt Core Apache Airflow (MWAA) CI/CD pipelines Event-driven orchestration Data Governance & Observability Collibra Data Catalogue Data Lineage Data Governance Frameworks Acceldata Data Observability ...

need both skillsets below - strength in one is enough: Hands-on: building AI/ML pipelines or prototypes; vector databases; prompt engineering; orchestration tools (Airflow/Prefect); Git Advisory: designing AI/data architectures; Agentic AI principles (LangGraph, CrewAI, AutoGen); mentoring specialists without formal authority; AI governance (security, privacy ...

hands-on experience in at least one data area and one platform area below. Data experience Orchestration: operating pipelines with tools such as Airflow, Dagster or Prefect, including dependencies, retries, backfills, reruns or schema changes. Storage and modelling: designing schemas and storage for relational databases, warehouses or lakehouses ...

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 ...

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 ...

times series data, they use TimescaleDB but other experience with similar platforms is fine You have experience with Orchestration platforms such as Dagster or Airflow You're collaborative with great communication skills What's in it for you: Salary to £85k + bonus X3 weeks per year work anywhere ...

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 ...

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 ...