5 of 5 Remote/Hybrid Apache Airflow Jobs in Central London

data models and map various data sources to support downstream analytics. Pipeline Engineering: Build scalable ETL pipelines and data quality solutions using tools like Airflow, Luigi, or Azkaban. Codification: Translate intricate business logic into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across ...

Tech Stack Language: Expert-level Python and advanced SQL . Cloud: Extensive experience with GCP (BigQuery, Cloud Storage, Dataflow/PubSub, Cloud Composer/Airflow). Tools: Experience with data orchestration tools and version control (Git). Environment: Proficiency in building production-grade pipelines. What We’re Looking ...

platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing at exec level. ...

ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing for data workflows Orchestrate pipelines using Airflow, Prefect, or Dagster Improve observability, monitoring, and lineage across data systems Mentor junior engineers and elevate engineering standards Key Skills and Experience Management … Data Engineering experience Expert-level SQL and advanced data modelling Strong Python Experience with Snowflake and Databricks Cloud experience Experience with orchestration tools (Airflow, Prefect) CI/CD and DataOps experience for data platforms This role will suit someone who is looking to remain hands on , whilst leading ...

security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented … engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product ...