426 to 450 of 550 dbt Jobs in the UK

Data Platform Engineer Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and you'll be able to play a big part in the success of our More ❯

Data Platform Engineer Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our More ❯

Data Platform Engineer Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and youll be able to play a big part in the success of our highly More ❯

Data Platform Engineer Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our More ❯

Data Platform Engineer Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our More ❯

About the Role As a Data Platform Engineer at Aberdeen, you will be at the heart of building and evolving a modern, cloud-based data platform using Azure, Snowflake, DBT, and Microsoft Fabric. Working within a Data Mesh architecture, you will enable decentralized data ownership and empower domain teams through self-service data capabilities. Your expertise will drive the design … About the Candidate Design and implement a Data Mesh architecture, enabling decentralized data ownership and collaboration across domain teams. Develop and maintain scalable cloud data infrastructure using Azure, Snowflake, DBT, and Microsoft Fabric, ensuring performance and automation. Build self-service data platforms and automate data pipelines to empower domain teams to manage their own data products independently. Collaborate with teams … networking, Data Factory, Key Vault, and Azure Fabric. Proven expertise in Snowflake administration, including database/user management, warehouses, role-based access control, and data sharing. Solid experience with DBT for data transformation, including best practices for modular, testable, and version-controlled data models. Proficiency in infrastructure-as-code deployments, especially using Terraform for Azure, Snowflake, and related platforms. Experience More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set the … technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing ETL Hybrid working … with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set the … technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing ETL Hybrid working … with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set the … technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing ETL Hybrid working … with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt-based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts … promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. … Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt-based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts … promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. … Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt-based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts … promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. … Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt-based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts … promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. … Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: 130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt-based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts … promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. … Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: 130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt-based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts … promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. … Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version control experience (Git). Python for scripting. Offer Details: Type: Permanent Location: London/Hybrid (4X per week in London) Compensation: £130K & Bonus + benefits Health & wellbeing support Learning & development opportunities Social/team activities More ❯

solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform The Tech Environment Youll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark … Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure What Theyre Looking For Proven experience building scalable data pipelines in real-time or near real-time environments Strong background in More ❯

solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform The Tech Environment Youll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark … Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure What Theyre Looking For Proven experience building scalable data pipelines in real-time or near real-time environments Strong background in More ❯

solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform The Tech Environment You'll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/… Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure What They're Looking For Proven experience building scalable data pipelines in real-time or near real-time environments Strong More ❯

solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform 🧩 The Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/… Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure 🌍 What They’re Looking For Proven experience building scalable data pipelines in real-time or near real-time environments Strong More ❯

solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe, and improve pipelines using Docker, Kubernetes, Terraform, or dbt Champion data reliability, scalability, and performance across the platform 🧩 The Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/… Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud: AWS/GCP/Azure 🌍 What They’re Looking For Proven experience building scalable data pipelines in real-time or near real-time environments Strong More ❯

building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving … data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools More ❯

building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving … data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools More ❯

building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving … data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools More ❯

building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving … data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools More ❯

building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving … data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Plusses: Experience with similar tools More ❯