sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
sqlmesh). Exposure to Python or R for data analysis and automation. Experience with statistical analysis, forecasting techniques, or basic predictive modeling. Familiarity with cloud data warehouses (e.g. Snowflake, BigQuery). Passion for data quality, continuous learning, and fostering a data-informed culture. Pay Range: $136,200.00 - $204,200.00 The pay range for this position is outlined above. The More ❯
Newbury, Berkshire, England, United Kingdom Hybrid / WFH Options
Intuita
and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯
including APIs, databases, and flat files. Assist in the setup and optimisation of data infrastructure and storage solutions, such as data warehouses and data lakes, using platforms like Snowflake, BigQuery, or Azure Synapse. Help manage cloud-based infrastructure and services across AWS, Azure, or GCP environments. Learn to monitor data quality and integrity across systems and gain an understanding More ❯
and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks More ❯
and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks More ❯
and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks More ❯
and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks More ❯
processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud-based platforms (e.g., Azure Synapse, AWS Redshift, GoogleBigQuery ) with legacy systems, ensuring performance and scalability. Deep knowledge of ETL/ELT processes , leveraging tools like Apache Airflow, dbt, or Informatica , with a focus on ensuring data quality More ❯
Newbury, Berkshire, England, United Kingdom Hybrid / WFH Options
Intuita
engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯
in data or analytics engineering, ideally within fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate technical detail into More ❯
