76 to 100 of 106 dbt Jobs

standards and best practices. Key responsibilities include: Build and maintain ELT pipelines Take full ownership of data ingestion Support data modelling and architecture within Snowflake Own and evolve the dbt layer, including governance and access controls Collaborate across analytics, product, and engineering teams Contribute to platform improvements, automation, and optimisation YOUR SKILLS AND EXPERIENCE: A successful Senior Data Engineer will … bring: Strong SQL skills Experience with dbt in a production environment Snowflake experience is desirable Exposure to AWS Confident mentoring peers and contributing to a collaborative, high-impact team Experience working in fast-paced, agile environments with modern data workflows THE BENEFITS: You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits More ❯

focus will be on ensuring data integrity, reliability, and performance across the organisations cloud-based analytics environment. Develop and maintain automated data ingestion pipelines using Fivetran. Implement and manage dbt models for scalable data transformations. Monitor and optimise Snowflake performance and costs. Ensure version control and CI/CD best practices for dbt projects. Set up orchestration and monitor pipeline More ❯

will offer excellent career progression opportunities for the right individual. You will play a pivotal role in evolving the company's data stack, working with modern tools such as DBT and Airflow, and developing scalable, high-quality data pipelines and infrastructure. Key Responsibilities: Lead the evolution of the company's data stack, with a focus on automation and scalability. Design … and Python. Proven experience in managing complex data estates and developing automated data pipelines. Good understanding of testing principles and deployment processes. Experience with technologies such as Redshift, Airflow, DBT, and AWS. Strong grasp of data modelling, database architecture, and governance principles. Hands-on experience with Git and modern development workflows. Excellent problem-solving skills, resilience, and a self-starter More ❯

to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability. Performance & Cost Optimisation: Configure Snowflake warehouses and implement query optimisation techniques for efficiency. Data Quality & Governance: Apply data quality checks, lineage tracking, and … and best practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding of data More ❯

scaling startup in the AI and Healthcare technology sector Salary up to £150k + Equity Paddington-based (4-5 days per week in-office) Tech environment: Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We … or Lead Data Engineer , Data Manager, or similar leadership role. Strong proficiency in Python (or Scala/Java) and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). … giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

based data warehouse , ensuring reliable data ingestion and transformation. Developing and monitoring data pipelines using Meltano and orchestration tools like Dagster or Airflow . Designing and optimising SQL transformations (DBT experience a plus). Working within Azure cloud infrastructure following Infrastructure-as-Code (IaC) principles. Managing Power BI semantic models , DAX measures, and data ingestion from the warehouse. Maintaining and … across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other cloud environments (GCP/AWS). Familiarity with Git-based version control , CI/CD More ❯

Full Stack Data Engineer x2 - UK Wide £72-90,000 + benefits We are looking for a versatile Full Stack Data Engineer to join our team and drive the development of scalable data platforms and web applications. This role blends More ❯

scalability, security, and performance. Data Architecture & Strategy: Define frameworks for ingestion, replication, storage, and transformation across diverse data sources. Pipeline Development: Build efficient ELT pipelines using tools such as DBT and Python, integrating operational, financial, and network data. Performance Optimisation: Configure Snowflake warehouses and partitioning strategies for cost efficiency and speed. Governance & Compliance: Implement data quality, lineage, and access control … experience designing and delivering cloud-based data platforms at scale (Snowflake preferred). Expertise in cloud data architecture, including data lakes, lakehouses, and warehouse design. Advanced proficiency in SQL, DBT, and Python for ELT workflows. Hands-on experience with Snowflake features: schema design, micro-partitioning, warehouses, tasks, streams, and Snowpark. Familiarity with replication and transformation tools (Airbyte, DBT) and cloud More ❯

who enjoys autonomy, solving complex commercial problems, and working across large, behaviour-rich datasets. What you'll do Tackle business-critical analytics challenges - not pipeline engineering. Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent). Build BI models and dashboards (Looker/Power BI/Omni-style tools). Analyse marketing performance, ad spend, attribution signals … recommend present. Drive new dashboards, models, and experimentation initiatives. Ideal Profile 5+ years in commercial analytics, ideally with marketing or customer analytics exposure. Strong SQL skills with experience in dbt or similar modelling frameworks. Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.). Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User More ❯

Job Title: Data Engineer II Job Location: Boston Massachusetts 02041-(Remote) Onsite Requirements: Remote 4+ yrs experience writing production level Java code 4+ yrs experience with complex SQL (e.g., production experience, table design and creation, functions, queries, optimization) Oracle SQL More ❯

hybrid working, with onsite visits to our client's office in Southampton as required. You'll be working largely independently, taking ownership of marketing data pipeline and aactivities using DBT, Snowflake and AWS. Must have: Strong SQL experience Hands-on DBT experience, including DBT administration Strong Snowflake experience, including Snowflake administration Solid AWS knowledge to build and integrate into a More ❯

modern BI tool (e.g., Metabase, Power BI, Looker) • Deep AWS experience (S3, Lambda, Glue, Redshift, OpenSearch) • Hands-on experience deploying AI/LLM-based systems into production • Experience using dbt Cloud for transformation pipelines • Familiarity with tracing and observability (e.g., Langfuse, OpenTelemetry) • Experience preparing datasets and running supervised fine-tuning (SFT) of LLMs • Exposure to reverse ETL tools (e.g., Census … for retrieval-augmented generation systems • Manage infrastructure-as-code for all core components (Redshift, S3, VPC, IAM, OpenSearch) Analytics Engineering & BI • Maintain and evolve a clean, documented data model (dbt Cloud leverage Fusion) • Develop and maintain BI dashboards in QuickSight and/or Metabase • Provide ad-hoc analytical support for product, sales, and ops teams • Build event-driven automation and … Help hire, mentor, and establish best practices as we grow Technologies: AI AWS Architect Azure Cloud ETL FastAPI GCP IAM Support LLM Looker Power BI Python SQL Slack Terraform dbt More: Welcome We're looking for a senior-level engineer to take full ownership of our data and AI systems, from ingestion and modeling to embedding pipelines and LLM-based More ❯

ownership. THE ROLE Join a 3-person data team working with Product, Marketing, and Finance teams. Report directly to the CTO. What you'll do:- Build BI models using DBT in BigQuery- Create dashboards in Omni (their BI tool)- Support user acquisition and marketing analytics- Work on ad attribution insights for mobile apps- Deliver finance and cashflow reporting- Own projects … end-to-end with minimal supervision TECH STACK - Cloud: Google BigQuery (GCP)- Data Transformation: DBT- BI Tools: Omni, Metabase, Looker Studio- Analytics: Amplitude- ETL: Fivetran- Version Control: Git WHAT YOU NEED Essential: 4+ years in Data/Analytics Engineering or BIStrong SQL skills (production-level)DBT experience (essential)Cloud data warehouse experience (BigQuery, Snowflake, Redshift)Data modeling expertiseUser acquisition or … task (take-home)3. Final with CTO and stakeholders (online) Timeline: 2-3 weeks HOW TO APPLY Send CV to Mohammed Buhariwala at Harnham Keywords: BI Analyst, Analytics Engineer, DBT, BigQuery, SQL, User Acquisition, Mobile Analytics, Marketing Analytics, Health Tech, Remote More ❯

ingestion, transformation, and processing workflows. DCreate and maintain dimensional data models and semantic layers that support business intelligence and analytics use cases. Build and optimise data transformation workflows using dbt, SQL, and Python to create clean, well-documented, and version-controlled analytics code. Implement automated data quality checks, monitoring systems, and alerting mechanisms to ensure data reliability and trustworthiness across … maintain technical documentation, establish coding standards, and maintain data catalogue to support governance and compliance requirements. Skills & Experience Advanced technical proficiency in SQL, Python, and modern data transformation tools (dbt strongly preferred), with experience in cloud data platforms (Azure Databricks, Snowflake, or similar). Proven experience designing and implementing scalable data architectures, including dimensional modelling, data lakehouse/warehouse concepts More ❯

years of experience in data engineering, with a strong focus on Azure Databricks. Key Skills & Experience Proven expertise in Azure Databricks (must-have) Hands-on experience with DBT (Data Build Tool) Strong knowledge of Snowflake Solid background in designing, building, and optimizing data pipelines Ability to collaborate effectively in hybrid working arrangements All profiles will be reviewed against the required More ❯

design and scale a modern data platform. As an Analytics Engineer, you'll own the full analytics workflow-from raw ingestion to dashboards-using cutting-edge tools like BigQuery, dbt, and Tableau. Key Responsibilities: Build and maintain scalable data architecture using the Medallion model. Develop dbt/dataform models and reusable SQL transformations. Create impactful Tableau dashboards for business insights. … Ensure data quality, observability, and governance. Drive CI/CD practices and collaborate across teams. What We're Looking For: Proven experience with BigQuery, dbt/dataform, and Tableau. Strong SQL and modern data architecture knowledge. Familiarity with orchestration tools (Prefect, Airflow), Git, CI/CD, and Python. Excellent communication and stakeholder engagement skills. Ready to make an impact? Apply More ❯

data tooling and best practices. Key Responsibilities: Design and maintain scalable data warehouse architecture using the Medallion model (Bronze/Silver/Gold layers). Build, test, and deploy dbt/dataform models with reusable SQL-based transformations. Develop and optimise BI dashboards and data products using Tableau, translating business needs into visual insights. Orchestrate and monitor data pipelines, ensuring … Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. Familiarity with orchestration More ❯

data tooling and best practices. Key Responsibilities: Design and maintain scalable data warehouse architecture using the Medallion model (Bronze/Silver/Gold layers). Build, test, and deploy dbt/dataform models with reusable SQL-based transformations. Develop and optimise BI dashboards and data products using Tableau, translating business needs into visual insights. Orchestrate and monitor data pipelines, ensuring … Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. Familiarity with orchestration More ❯

focused on solving business critical analytics problems rather than building pipelines. You will work end to end across scoping, analysis, modelling, recommendations and delivery. You will use SQL, Python, dbt and BigQuery to build robust BI models and dashboards in Omni. You will analyse ad spend, marketing performance, customer behaviour, finance forecasting and wider product usage. You will also work … deep work culture and autonomy Requirements * Strong experience in marketing or customer analytics ideally in mobile or gaming* Solid understanding of attribution and mobile tracking complexities* Advanced SQL and dbt modelling* Experience with BigQuery or similar warehousing tools* Dashboarding experience in Looker, Power BI or similar* Experience working with User Acquisition or marketing teams* Strong stakeholder management* Comfortable working autonomously More ❯

Senior App Support Engineer MuleSoft, Alteryx, Power BI, Snowflake , dbt, Ops, Tickets, Cloud, Data, Integration, Backlog, Applications, Operations, Analytics, Mainly Remote (1d/w Liverpool), Outside IR35 This is a fantastic Senior Ops/App Support Engineer contract opportunity with a leading Liverpool based tech organisation. Whilst the Senior Ops/App Support Engineer contract is mainly remote you will … similar. Strong support experience supporting Applications/Tech/Ops and clearing ticket backlogs effectively at speed is required. Strong communication and organisational skills are essential with knowledge of dbt also being required as Senior Ops/App Support Engineer. Strong ETL, SQL and Data as well as analytics are essential as Senior Ops/App Support Engineer as is … in depth knowledge to resolve technical issues (with MuleSoft, Alteryx, Power BI, Snowflake, dbt) Any experience as a Developer/Data Analyst is beneficial as Senior Ops/App Support Engineer. Experience within finance/banking is preferred as are certifications relating to MuleSoft, Alteryx, Power BI, Snowflake, dbt etc. Key skills as Senior Ops/App Support Engineer Commutable More ❯

analytics background in consumer tech/product businesses Excellent stakeholder engagement with non-technical teams Data storytelling and ability to influence strategy Management or mentoring experience SQL (must-have), dbt, Python, Git BI tools (Lightdash, Looker or similar) Product analytics platforms, A/B testing experience Pragmatic problem-solver delivering outcomes Take ownership from day one Desirable: ML/exploratory … modelling exposure Experience building data functions Membership/subscription business background International expansion analytics Ad tech/retail media knowledge TECH STACK SQL, dbt, Python, Lightdash/Looker, Git, Google Analytics, product analytics platforms THE IDEAL CANDIDATE Product-minded analyst comfortable with senior leadership. Generalist with broad consumer tech experience. Excited about greenfield opportunity to build and shape data function. … 1hr Teams case study 1hr in-person with presentation Potential CPO final Timeline: 3-4 weeks HOW TO APPLY Mohammed Buhariwala, Harnham + Keywords: Product Analytics Manager, SQL, Python, dbt, Consumer Tech, London, Hybrid More ❯

security protocols to safeguard sensitive information and ensure compliance with legal, regulatory, and contractual requirements. Technology & Tools Ensure Weyerhaeuser's hybrid enterprise and modern data stack - including SAP, Snowflake, dbt, Purview, and ESRI - work together seamlessly to support enterprise-scale analytics and AI. Evaluate and implement emerging tools that improve data observability, lineage, and real-time decision-making. Collaboration & Culture … success building and scaling data product operating models that deliver measurable business results. Deep expertise with enterprise systems (SAP S/4, C4C, BTP, BCP), modern data platforms (Snowflake, dbt, Microsoft Purview), and geospatial systems (ESRI). Strong knowledge of AI/ML data readiness and experience enabling analytics from diverse sources, including transactional, geospatial, industrial, and unstructured data. Demonstrated More ❯

security protocols to safeguard sensitive information and ensure compliance with legal, regulatory, and contractual requirements. Technology & Tools Ensure Weyerhaeuser's hybrid enterprise and modern data stack - including SAP, Snowflake, dbt, Purview, and ESRI - work together seamlessly to support enterprise-scale analytics and AI. Evaluate and implement emerging tools that improve data observability, lineage, and real-time decision-making. Collaboration & Culture … success building and scaling data product operating models that deliver measurable business results. Deep expertise with enterprise systems (SAP S/4, C4C, BTP, BCP), modern data platforms (Snowflake, dbt, Microsoft Purview), and geospatial systems (ESRI). Strong knowledge of AI/ML data readiness and experience enabling analytics from diverse sources, including transactional, geospatial, industrial, and unstructured data. Demonstrated More ❯

security protocols to safeguard sensitive information and ensure compliance with legal, regulatory, and contractual requirements. Technology & Tools Ensure Weyerhaeuser's hybrid enterprise and modern data stack - including SAP, Snowflake, dbt, Purview, and ESRI - work together seamlessly to support enterprise-scale analytics and AI. Evaluate and implement emerging tools that improve data observability, lineage, and real-time decision-making. Collaboration & Culture … success building and scaling data product operating models that deliver measurable business results. Deep expertise with enterprise systems (SAP S/4, C4C, BTP, BCP), modern data platforms (Snowflake, dbt, Microsoft Purview), and geospatial systems (ESRI). Strong knowledge of AI/ML data readiness and experience enabling analytics from diverse sources, including transactional, geospatial, industrial, and unstructured data. Demonstrated More ❯

security protocols to safeguard sensitive information and ensure compliance with legal, regulatory, and contractual requirements. Technology & Tools Ensure Weyerhaeuser's hybrid enterprise and modern data stack - including SAP, Snowflake, dbt, Purview, and ESRI - work together seamlessly to support enterprise-scale analytics and AI. Evaluate and implement emerging tools that improve data observability, lineage, and real-time decision-making. Collaboration & Culture … success building and scaling data product operating models that deliver measurable business results. Deep expertise with enterprise systems (SAP S/4, C4C, BTP, BCP), modern data platforms (Snowflake, dbt, Microsoft Purview), and geospatial systems (ESRI). Strong knowledge of AI/ML data readiness and experience enabling analytics from diverse sources, including transactional, geospatial, industrial, and unstructured data. Demonstrated More ❯