1 to 25 of 41 Permanent dbt Jobs in South Yorkshire

aligning data capabilities to business transformation goals. Deep knowledge of data architecture, modelling, integration, and governance, with hands-on experience in tools like Snowflake, DBT, SQL Server, and programming languages such as Python, Java, or Scala. Proficient in big data tools (e.g., Spark, Kafka), cloud platforms (AWS, Azure, GCP), and More ❯

contribute to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of More ❯

contribute to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of More ❯

communicator able to interface confidently with both technical and non-technical audiences Bonus Experience • Familiarity with IaC frameworks (CloudFormation, Terraform, SAM) • Exposure to Snowflake, DBT, Airflow, or cost analytics/data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native More ❯

communicator able to interface confidently with both technical and non-technical audiences Bonus Experience • Familiarity with IaC frameworks (CloudFormation, Terraform, SAM) • Exposure to Snowflake, DBT, Airflow, or cost analytics/data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native More ❯

understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional More ❯

understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional More ❯

understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional More ❯

understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional More ❯

performance tuning, with a strong grasp of cloud-based ETL frameworks and modern data engineering principles. Working experience in ETL tools like Informatica, AbInitio, DBT, AWS Glue, etc. Proficient in structured query languages, data modelling, and familiar with at least one programming or scripting language commonly used in data engineering. More ❯

performance tuning, with a strong grasp of cloud-based ETL frameworks and modern data engineering principles. Working experience in ETL tools like Informatica, AbInitio, DBT, AWS Glue, etc. Proficient in structured query languages, data modelling, and familiar with at least one programming or scripting language commonly used in data engineering. More ❯

product teams Lead best practices and mentor others in the data space What They’re looking for: Strong SQL and Python skills Experience with dbt, Snowflake (or similar), and cloud platforms Solid data modelling background Familiar with APIs (REST/SOAP), Git, CI/CD, and test automation Strong communicator More ❯

product teams Lead best practices and mentor others in the data space What They’re looking for: Strong SQL and Python skills Experience with dbt, Snowflake (or similar), and cloud platforms Solid data modelling background Familiar with APIs (REST/SOAP), Git, CI/CD, and test automation Strong communicator More ❯

SQL, Data Warehousing. Hands on experience working in Insurance (Prior working experience with L&G will be a advantage) 3+ years of experience in DBT for Data Transformation. Deep understanding of Agile methodologies in Data environment. Familiarity with Power BI. Equal Opportunities Employer Technologies is an equal opportunity employer. We More ❯

SQL, Data Warehousing. Hands on experience working in Insurance (Prior working experience with L&G will be a advantage) 3+ years of experience in DBT for Data Transformation. Deep understanding of Agile methodologies in Data environment. Familiarity with Power BI. Equal Opportunities Employer Technologies is an equal opportunity employer. We More ❯

code into higher tier environments ✅ Must have requirements: Experience developing ELT/ETL ingestion pipelines Python SQL Azure cloud 👍 Bonus points for experience with: DBT CI/CD - e.g. Azure DevOps IaC - e.g. Terraform or Pulumi Data warehousing experience - e.g. Databricks other Azure services such as Azure Fabric, Data Factory More ❯

code into higher tier environments ✅ Must have requirements: Experience developing ELT/ETL ingestion pipelines Python SQL Azure cloud 👍 Bonus points for experience with: DBT CI/CD - e.g. Azure DevOps IaC - e.g. Terraform or Pulumi Data warehousing experience - e.g. Databricks other Azure services such as Azure Fabric, Data Factory More ❯

platform was designed to empower teams to easily query and visualize data. Positioned as an alternative to Looker, the platform integrates with dbt (data build tool) to transform raw data into actionable insights. Built to support both technical and non-technical users, it enables everyone from marketing to finance teams More ❯

platform was designed to empower teams to easily query and visualize data. Positioned as an alternative to Looker, the platform integrates with dbt (data build tool) to transform raw data into actionable insights. Built to support both technical and non-technical users, it enables everyone from marketing to finance teams More ❯

on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform … Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average More ❯

on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform … Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average More ❯

Legacy Pipeline Migration (Months 2-3) Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. Languages & Scripting: Python … interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is a plus Candidate Profile More ❯

Legacy Pipeline Migration (Months 2-3) Analyze and understand existing R-based data pipelines created by data scientists. Migrate these pipelines into Airflow, dbt, and Terraform workflows. Modernize and scale legacy infrastructure running on AWS. Collaborate with engineering teams to ensure a smooth transition and system stability. Languages & Scripting: Python … interpreting existing scripts) Cloud & Infrastructure: AWS services including Lambda, API Gateway, S3, CloudWatch, Kinesis Firehose Terraform for infrastructure as code Orchestration & Transformation: Apache Airflow dbt CRM & Marketing Tools: Braze (preferred) Familiarity with other CRM/marketing automation tools such as Iterable or Salesforce Marketing Cloud is a plus Candidate Profile More ❯

for ingesting, transforming, and delivering data to critical internal systems. This includes designing scalable AWS-based pipelines, integrating external APIs, and orchestrating transformations using DBT and Airflow. You'll also support the transition of R-based data streams into more maintainable Python workflows. Your responsibilities will include: Building and maintaining … third-party APIs into the data platform and transforming data for CRM delivery. Migrating R-based data streams into modern Airflow-managed Python/DBT pipelines. Ensuring observability and reliability using CloudWatch and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND More ❯

for ingesting, transforming, and delivering data to critical internal systems. This includes designing scalable AWS-based pipelines, integrating external APIs, and orchestrating transformations using DBT and Airflow. You'll also support the transition of R-based data streams into more maintainable Python workflows. Your responsibilities will include: Building and maintaining … third-party APIs into the data platform and transforming data for CRM delivery. Migrating R-based data streams into modern Airflow-managed Python/DBT pipelines. Ensuring observability and reliability using CloudWatch and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND More ❯