1 to 10 of 10 Apache Airflow Jobs in the UK excluding London with Remote Work Options

Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of data modelling Principles and best more »

Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of data modelling Principles and best more »

mandatory, familiarity with the following technologies and tools would be advantageous: Dagster (or similar Orchestration Tools) : Experience with Dagster or other orchestration tools like Airflow for managing complex data workflows and pipelines. Qlik Sense Cloud (or similar Reporting Tools) : Knowledge of Qlik Sense Cloud or similar reporting tools such more »

data warehousing. Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. Strong problem-solving skills and a meticulous approach to code reviews. Proven leadership qualities with the ability to uphold high standards within more »

and deep knowledge in core processing and orchestration products such as Big Query, Data Flow, Data Fusion, Data Stream, Cloud Functions, Data Proc and Airflow/Composer. You will have held a leading role in a Data Engineering function with responsibility for the directing the efforts of other data more »

successful Lead Data Engineer will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/ more »

proficiency GIT proficiency Linux use and admin Experience deploying cloud services (AWS is a bonus) Experience with Docker and Kubernetes Using frameworks such as AirFlow ML background - PyTorch for computer vision This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days more »

warehousing. l Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. l Strong problem-solving skills and a meticulous approach to code reviews. l Proven leadership qualities with the ability to uphold high more »

support you. KEYWORDS: Python/Databricks/Data bricks/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Postgres/… Big Data/Python/Databricks/Data bricks/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Postgres/… Big Data/Python/Databricks/Data bricks/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/Postgres/ more »

record of taking data science products from conception through to deployment in production. You've had experience deploying data science workflows with tools like Airflow or Databricks. Proven experience of leading a data science team Proven experience of working with customer data You've a strong commitment to accuracy more »