26 to 50 of 103 dbt Jobs in the South East

and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication skills, with More ❯

and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication skills, with More ❯

and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication skills, with More ❯

below but we would love for you to have experience in some of the following areas: Proficiency in modern data engineering practices and technologies, including Prefect/Airflow, Python, dbt, Kubernetes, Kafka or similar Experience with Infrastructure as Code (IaC) and cloud-based services e.g deploying infrastructure on AWS using Terraform A deep understanding of data pipelines, orchestration, and data More ❯

a company scales. Skills & Experience: 5+ years in data science or analytics, including ETL experience from GA4/Google Ads and CRM platforms. Advanced SQL & Python skills. Experience with dbt (or equivalent) and orchestration tools (Airflow/Cloud Composer). Proven experience using LLMs (OpenAI, Gemini, Claude, etc.) for analytics and automation. Strong background in data visualisation (Power BI/ More ❯

solutions and drive innovation across BNY. To be successful in this role, were seeking the following: Strong experience of Snowflake Data Cloud, with supporting technologies and tools, including SQL, DBT and Snowpark Deep knowledge of Python, with experience using it to build production quality data pipelines and analytical jobs. Expertise of data warehouse and modelling concepts is essential for designing More ❯

solutions and drive innovation across BNY. To be successful in this role, were seeking the following: Strong experience of Snowflake Data Cloud, with supporting technologies and tools, including SQL, DBT and Snowpark Deep knowledge of Python, with experience using it to build production quality data pipelines and analytical jobs. Expertise of data warehouse and modelling concepts is essential for designing More ❯

AWS Certified Data Analytics - Specialty, Solutions Architect). Snowflake certifications. Experience in leading agile teams or projects using Scrum/Kanban methodologies. Familiarity with modern data stack tools (e.g., dbt, Airflow, Fivetran) is a plus. Why Join Us? Be part of a high-impact team shaping the next generation of data capabilities in the cloud. Work with cutting-edge technology More ❯

this role, you will: Lead, mentor, and inspire analytics and data engineering teams, fostering technical excellence and a culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and More ❯

this role, you will: Lead, mentor, and inspire analytics and data engineering teams, fostering technical excellence and a culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and More ❯

this role, you will: Lead, mentor, and inspire analytics and data engineering teams, fostering technical excellence and a culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and More ❯

for data processing and pipeline development. Proven experience writing complex and efficient SQL. Hands-on Snowflake experience (data modelling, performance tuning, pipelines). Familiarity with orchestration tools (e.g., Airflow, dbt) is a plus. A solid understanding of data best practices, version control (Git), and CI/CD. Company Rapidly growing, cutting edge AI organisation Remote working - Offices in London if More ❯

on tribal knowledge and manual interventions. Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Lead Data Engineer/Tech More ❯

wide reporting rollout Predictive modelling and segmentation F&B and digital journey optimisation Tech environment GCP - data warehouse and pipelines Power BI/Omni - visualisation and exploration SQL, Python, DBT, Docker Exposure to web & app event tracking and modern data tooling About you Proven leadership of data teams in modern cloud environments. Skilled in stakeholder management and translating data into More ❯

background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional More ❯

business transitions to the cloud. The company is adopting Salesforce as its SaaS platform and Snowflake as its data platform, supported by a modern data stack including Fivetran, Atlan, DBT, and Airflow. Reporting directly to the Chief Data Officer, you'll lead a team of three, covering Data Quality, Data Governance, and Data Literacy. You'll also act as a More ❯

business transitions to the cloud. The company is adopting Salesforce as its SaaS platform and Snowflake as its data platform, supported by a modern data stack including Fivetran, Atlan, DBT, and Airflow. Reporting directly to the Chief Data Officer, you'll lead a team of three, covering Data Quality, Data Governance, and Data Literacy. You'll also act as a More ❯

TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

Snowflake. Strong expertise in SQL and data warehousing. Hands-on experience working in the insurance industry; prior experience with L&G is an advantage. 3+ years of experience with DBT for data transformation. Deep understanding of agile methodologies in data environments. Familiarity with Power BI. More ❯

organisation. Strong technical expertise in GCP, SQL, and Python. Proficiency with Power BI and/or Omni (or similar tools such as Looker). Experience with modern data tooling (DBT, Docker) and building scalable data environments. Strong knowledge of data governance, compliance, and architecture best practices. Excellent stakeholder management and communication skills. Experience with web and app event tracking and More ❯

SKILLS AND EXPERIENCE Proven experience leading data strategy and platform development within a complex, multi-stakeholder environment. Strong technical grounding across: GCP SQL and Python Power BI or Omni DBT and Docker (preferred) Excellent stakeholder management and communication skills. Experience with web and app event tracking, and delivering predictive analytics projects. Leadership background with experience growing and managing data teams. More ❯

SKILLS AND EXPERIENCE Proven experience leading data strategy and platform development within a complex, multi-stakeholder environment. Strong technical grounding across: GCP SQL and Python Power BI or Omni DBT and Docker (preferred) Excellent stakeholder management and communication skills. Experience with web and app event tracking, and delivering predictive analytics projects. Leadership background with experience growing and managing data teams. More ❯