51 to 75 of 93 Permanent dbt Jobs

development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical More ❯

development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical More ❯

Implementation partner: TCS Location: San Antonio, TX (Day One Onsite) JOb Description/Skills: ETL Lead with snowflake exp. Strong ETL skills such as SQL, PL/SQL, dbt, Datastage/Informatica, Unix, scheduling tools. Experience working with Snowflake. End-to-end development experience including requirements gathering, coding, testing and enabling a data movement pipeline. More ❯

Analytics Engineer - DBT & SQL Location: London - Hybrid (3 days/week central London office) Salary: £40,000 depending on experience Ref: J13038 Please note sponsorship is not available now or in the future. An exciting opportunity has opened up at one of the UK's fastest-growing independent media agencies click apply for full job details More ❯

for cloud data solutions. Preferred Skills: Experience with Airflow, AWS Glue, or Dataflow for workflow orchestration. Exposure to machine learning pipelines within Databricks. Familiarity with Delta Lake, dbt (data build tool), and Kubernetes. Certification in GCP Data Engineer or AWS Big Data Specialty is a plus. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering More ❯

product and service becomes and remains fully compliant with current standards, policies and regulations• Utilising your broad knowledge of health and social care processes to providing support for the DBT approach to new software productionApplicants should be clinically qualified and can show a breadth of knowledge in relation to the role as well as a demonstrable interest in clinical safety More ❯

engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You'll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to someone who … automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain … Analyst to Data Engineer. Proven Fintech or Payments industry experience - strong understanding of the data challenges and regulatory context within the sector. Deep proficiency in Python , Snowflake , SQL , and dbt . Excellent communication and collaboration skills , with the ability to work effectively across data, product, and business teams. Solid grasp of modern data modelling techniques (star/snowflake schemas, data More ❯

Cloud Data & Full Stack Engineer - SC Cloud, Data Location: UK Wide Salary: £72,000 - £100,000 (depending on experience) + attractive benefitsFlexibility: Happy to consider candidates who can commute into London from other UK locationsSecurity: Essential that you can undergo More ❯

Lead Data Engineer London, UK (Hybrid) Innovative FinTech About the Company: We are partnered with a high-growth FinTech company headquartered in London that is redefining how technology and data can transform financial services. Their mission is to deliver smarter More ❯

governance, and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation processes, and performance optimisation. Support … of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ML data preparation, Python or Spark More ❯

CD, automation). Familiarity with Data/ETL tools such Microsoft Azure and Microsoft Fabric. Knowledge of Cloud-native development: Azure, Snowflake, ADF (Azure Data Factory) and DBT (Data Build Tool) for modular SQL development. Autosys scheduling and Ab Initio for ETL and batch processing as well as Markit EDM. Understanding of MQ (IBM MQ, ACE) for message-based integrations More ❯

infrastructure for the organisation. What you'll be doing: Design, develop, and maintain scalable data architectures and ETL pipelines Build and manage data models and data warehouse solutions (Airflow, dbt, and Redshift) Write clean, efficient Python and SQL code for data processing and transformation Integrate data from internal and third-party APIs and services Optimise data pipelines for performance, scalability … compliance principles Ability to optimise data pipelines for performance and maintainability Strong collaboration skills and a proactive, problem-solving mindset Bonus Points For Experience with Airflow and/or dbt Experience working in Agile environments (Scrum/Kanban) Exposure to DevOps practices or CI/CD pipelines You'll join a business that values innovation, collaboration, and continuous learning, with More ❯

Analytics Engineer - DBT & SQL Location: London - Hybrid (3 days/week central London office) Salary: 40,000 depending on experience Ref: J13038 Please note sponsorship is not available now or in the future. An exciting opportunity has opened up at one of the UK's fastest-growing independent media agencies. An Analytics Engineer is needed to help shape the future … and data scientists to move faster and smarter, all while contributing to a Data for Good ethos that drives meaningful, measurable outcomes. Build and maintain robust data models in DBT, transforming raw data into high-quality, trusted sources for analytics and activation. Manage onboarding of new data feeds from discovery to documentation, collaborating with both technical and business stakeholders. Champion … team collaboration, and making a measurable difference in how data is used across a business. Must-Have Skills: SQL - Confident in writing clean, performant queries; understands ANSI SQL principles. dbt - Experienced with building, testing, and documenting models in production environments. Python - Comfortable using and editing existing scripts; familiar with core concepts. Git - Solid understanding of version control and team-based More ❯

Analytics Engineer - DBT & SQL Location: London - Hybrid (3 days/week central London office) Salary: £40,000 depending on experience Ref: J13038 *Please note sponsorship is not available now or in the future. An exciting opportunity has opened up at one of the UK's fastest-growing independent media agencies. An Analytics Engineer is needed to help shape the future … and data scientists to move faster and smarter, all while contributing to a Data for Good ethos that drives meaningful, measurable outcomes. ·Build and maintain robust data models in DBT, transforming raw data into high-quality, trusted sources for analytics and activation. ·Manage onboarding of new data feeds from discovery to documentation, collaborating with both technical and business stakeholders. ·Champion … team collaboration, and making a measurable difference in how data is used across a business. Must-Have Skills: ·SQL - Confident in writing clean, performant queries; understands ANSI SQL principles. ·dbt - Experienced with building, testing, and documenting models in production environments. ·Python - Comfortable using and editing existing scripts; familiar with core concepts. ·Git - Solid understanding of version control and team-based 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 ❯

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 ❯