26 to 50 of 93 Permanent dbt Jobs

Work within an Azure-based environment (preferred). Provide input into best practices across the data function and help "keep the lights on." Tech Stack Core: Python, SQL, Airflow, dbt, Terraform, CI/CD, Power BI Nice to have: Kimball methodology Cloud: Azure (preferred) What They're Looking For 2-4 years' experience in a Data Engineering role. Strong SQL More ❯

tracking code. Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements More ❯

tracking code. Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements More ❯

tracking code. Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements More ❯

high-quality data products What you'll bring: 3-5 years' experience as a Data Engineer Strong SQL and Python skills Proven experience building modern ETL/ELT pipelines (dbt experience ideal) Experience with data orchestration tools (Prefect preferred) Understanding of data modelling , especially event-driven architectures Knowledge of modern data engineering development practices Nice to have: Background in InsurTech More ❯

ability to design, build, and troubleshoot data solutions end-to-end Experience working with large datasets and complex data ecosystems Familiarity with modern data platforms and tools (e.g., Snowflake, dbt, GCP, Airflow) is a plus, but not a requirement Strong analytical and problem-solving skills, with a keen eye for detail and data quality Excellent communication skills and the ability More ❯

that influence business performance. Ability to operate effectively in a fast-paced, scaling organisation. Excellent communication skills and a collaborative approach. Desirable Skills Experience with analytics engineering tools (e.g., dbt, Airflow). Familiarity with experimentation frameworks and A/B testing platforms. Exposure to cloud-based data environments (e.g., Google Cloud Platform). Experience within digital consumer businesses or online More ❯

to how data is used to drive commercial decisions - particularly around pricing, revenue, and customer insight. Key responsibilities include: Manage and maintain the company's data warehouse (Python, Airflow, DBT, Kimball) Ensure data pipelines are robust, accurate, and performant Maintain and develop cloud infrastructure using Infrastructure as Code (Terraform) Identify opportunities to improve data processes, architecture, and efficiency Support the More ❯

to how data is used to drive commercial decisions - particularly around pricing, revenue, and customer insight. Key responsibilities include: Manage and maintain the company's data warehouse (Python, Airflow, DBT, Kimball) Ensure data pipelines are robust, accurate, and performant Maintain and develop cloud infrastructure using Infrastructure as Code (Terraform) Identify opportunities to improve data processes, architecture, and efficiency Support the More ❯

LTV, retention, and experimentation. Experience with a data visualisation or BI tool (they use Mode, but open to others). Familiarity with tools such as Amplitude, Python, R, or dbt a plus but not essential. Confident communicator able to translate data into stories and influence stakeholders. A proactive self-starter who thrives in a fast-paced, scaling environment. WHY APPLY More ❯

to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity with tools like Airflow, Databricks or DBT is a plus What's on offer: Salary up to £75,000 Bonus and equity options Hybrid working: 3 days in a vibrant central London office, 2 days remote This More ❯

to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity with tools like Airflow, Databricks or DBT is a plus What's on offer: Salary up to £75,000 Bonus and equity options Hybrid working: 3 days in a vibrant central London office, 2 days remote This More ❯

a migration plan for legacy data into Snowflake, ensuring a smooth and efficient transition Working in a modern Dev/DataOps culture The tech stack will include: AWS, Fivetran, DBT, Snowflake, Power BI, Sifflet, Postgres SQL, SQL Server, Datavault On offer is a salary up £80,000 (depending on experience), plus benefits and a generous pension If this is you More ❯

Azure Blob Storage, Google BigQuery). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Experience designing and implementing modern data architectures. Proficiency with integration/orchestration tools (Airflow, dbt, Glue). Strong communication and stakeholder management skills. Experience with metadata, cataloguing, and data quality tools, and knowledge of data governance and GDPR. Benefits: Opportunity to work in a dynamic More ❯

including ERPs and CRMs. You'll collaborate closely with client stakeholders to translate ambiguous requirements into clean, maintainable solutions that drive real impact. Familiarity with tools such as Airflow, DBT, Databricks, dashboarding frameworks, and Typescript is a strong plus as you help deliver end-to-end production-ready systems. Interview Process Teams conversation (introductory chat) Technical take home exercise Presentation More ❯

/retention analysis. Background in subscription-based, marketplace or tech-driven environments. Confident communicator and self-starter, able to influence non-technical stakeholders. Experience with tools like Mode, Amplitude, DBT, Python or R is beneficial (not essential). Why Apply? Equity with upcoming exit - real potential for payout in 1-2 years. Fully remote with a collaborative, friendly, pet-loving More ❯

championing a unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation More ❯

in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management : Comprehensive medical and dental insurance. More ❯

Azure Databricks, Azure Data Factory, and other cloud platforms. Strong programming skills in Python, SQL, and cloud-native tools like APIM, Azure Functions, and Synapse. Hands-on experience with DBT for modular, testable SQL in a Lakehouse architecture. Proficient in Power BI for building interactive dashboards and visualising insights. Skilled in Databricks for collaborative data engineering, machine learning, and analytics. More ❯

I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally More ❯

I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally More ❯

dive analyses to support strategic initiatives and provide actionable recommendations.Maintain a central insights hub with documented reports and metric definitions. Skills & Experience: Proficiency in SQL and Python; experience with dbt and visualization tools (Lightdash/Looker).Broad product analytics/data science experience in consumer tech.Strong stakeholder engagement and storytelling skills. Send your CV to register your interest. Please note More ❯

dive analyses to support strategic initiatives and provide actionable recommendations.Maintain a central insights hub with documented reports and metric definitions. Skills & Experience: Proficiency in SQL and Python; experience with dbt and visualization tools (Lightdash/Looker).Broad product analytics/data science experience in consumer tech.Strong stakeholder engagement and storytelling skills. Send your CV to register your interest. Please note More ❯

through training and mentoring Skills Needed Strong SQL experience Hands on experience with Looker and LookML Experience with GCP or BigQuery Solid understanding of data modelling and data architecture dbt experience is a bonus Strong communication skills and confidence working autonomously Benefits Competitive salary plus benefits Hybrid working Enhanced leave allowance Healthcare and wellness perks More ❯

and GCP/BigQuery skills Confident in data modelling, architecture, and governance Able to work independently and challenge stakeholder requirements thoughtfully Excellent communicator with a collaborative mindset Experience with dbt (nice to have, not essential) The client is looking to move quickly, if interested please apply. To follow up on your application please email or message me on LinkedIn. More ❯