76 to 100 of 310 Remote/Hybrid BigQuery Jobs

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

appropriate. Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks. Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred). Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau ...

automation testing for Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data ...

Experience Strong commercial experience working with large datasets and delivering insight Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery Experience building and automating data pipelines and transformations Familiarity with dbt for data modelling and transformation workflows Working knowledge of Python for data processing Experience ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...

data (text and images) Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where ...