9 of 9 ETL Jobs in Brighton

translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks. Develop and maintain data models, transformations, and integrations across multiple systems. Collaborate with client teams to deliver high ...

and transforming data to surface insights within Google Ads. Key Responsibilities Administer, maintain, and optimise the Snowflake data platform Design, build, and manage scalable ETL/ELT data pipelines Ingest and integrate 34 data sources, including GA4 Transform and model data to support reporting and activation in Google Ads Ensure ...

data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. ...

data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. ...

pipelines and architectures. Experience with Python, Spark, C#, or relevant programming skills. Experience with cloud platforms and data processing tools. Knowledge of database systems, ETL processes, and data modelling techniques. Excellent problem-solving skills and a detail-oriented approach. The ability to work collaboratively with diverse teams and stakeholders. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

data platforms, has excellent SQL skills, and is keen to build scalable data pipelines and data models. Key Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Snowflake. Administer, optimise and support the Snowflake data platform for performance and cost efficiency Ingest, transform, and integrate data from … Experience Hands-on experience in Snowflake data warehouse development and optimisation. Strong SQL skills for querying, transformation and performance tuning. Experience building and managing ETL/ELT pipeline. Proficiency with at least one scripting/programming language (e.g., Python). Familiarity with modern data engineering tools like dbt, Airflow, Prefect ...

data platforms, has excellent SQL skills, and is keen to build scalable data pipelines and data models. Key Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Snowflake. Administer, optimise and support the Snowflake data platform for performance and cost efficiency Ingest, transform, and integrate data from … Experience Hands-on experience in Snowflake data warehouse development and optimisation. Strong SQL skills for querying, transformation and performance tuning. Experience building and managing ETL/ELT pipeline. Proficiency with at least one scripting/programming language (e.g., Python). Familiarity with modern data engineering tools like dbt, Airflow, Prefect ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...