26 to 50 of 74 dbt Jobs in the City of London

or Dagster. Solid understanding of data warehousing, data ops, and cloud-based infrastructure. Comfortable owning end-to-end workflows, with strong problem-solving and communication skills. Experience working with dbt as an ELT Why Join? Work in a modern data environment with a high degree of autonomy and ownership. Collaborate with a passionate, fast-moving team tackling complex data challenges. 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 ❯

Semantic Models). Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). Proven experience building ETL/ELT pipelines using tools such as SSIS , dbt , or Airflow . Solid understanding of database administration , tuning, and performance optimisation across MSSQL and PostgreSQL . Key Responsibilities: Design and maintain data models that meet business requirements, ensuring scalability More ❯

Semantic Models). Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). Proven experience building ETL/ELT pipelines using tools such as SSIS , dbt , or Airflow . Solid understanding of database administration , tuning, and performance optimisation across MSSQL and PostgreSQL . Key Responsibilities: Design and maintain data models that meet business requirements, ensuring scalability More ❯

maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar) Experience with More ❯

maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar) Experience with More ❯

systems. Strong communication skills — able to translate data findings into actionable insights for technical and non-technical stakeholders. Desirable Skills: Experience working with ETL tools or scripting languages (Python, dbt, Alteryx, SSIS, etc.). Familiarity with cloud data environments (AWS, Azure, GCP). Knowledge of data governance, privacy (GDPR), and regulatory requirements in insurance. Exposure to API-based data integrations More ❯

systems. Strong communication skills — able to translate data findings into actionable insights for technical and non-technical stakeholders. Desirable Skills: Experience working with ETL tools or scripting languages (Python, dbt, Alteryx, SSIS, etc.). Familiarity with cloud data environments (AWS, Azure, GCP). Knowledge of data governance, privacy (GDPR), and regulatory requirements in insurance. Exposure to API-based data integrations More ❯

/Azure), Python, PowerShell, APIs. Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This is an opportunity to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer 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 ❯

a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in More ❯

insights. Contribute to a data-driven culture across global teams. REQUIRED SKILLS/EXPERIENCE 2–3 years’ experience in data analytics. Strong SQL skills. Exposure to Snowflake Exposure to dbt or ETL work Experience with BI tools (Looker, Tableau, or similar). Confident communicator, able to present data clearly to diverse teams. Please note - this role cannot offer sponsorship at More ❯

commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a More ❯

commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a More ❯

technologies. Requirements Extensive experience delivering data platform and strategy projects in financial services, ideally including asset management. Hands-on expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder More ❯

technologies. Requirements Extensive experience delivering data platform and strategy projects in financial services, ideally including asset management. Hands-on expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder 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 ❯

complex and ambiguous problems. Strong communication and collaboration skills, with the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake . Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker , Power BI , or similar. Fluent in More ❯

complex and ambiguous problems. Strong communication and collaboration skills, with the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt and Snowflake. Experience with Omni implementation Experience with data modelling, ELT processes, and data warehousing. Familiarity with data visualisation tools such as Looker, Power BI, or similar. Fluent in English More ❯

B testing and experimentation frameworks. Exceptional communication and data storytelling abilities to engage both technical and non-technical audiences. Familiarity with BI tools such as Looker or Tableau (bonus: dbt or modern data stack experience). Hera recruits with diversity and inclusion at its core and continues to embrace, champion and recognise the incredible assets that come from working and More ❯

B testing and experimentation frameworks. Exceptional communication and data storytelling abilities to engage both technical and non-technical audiences. Familiarity with BI tools such as Looker or Tableau (bonus: dbt or modern data stack experience). Hera recruits with diversity and inclusion at its core and continues to embrace, champion and recognise the incredible assets that come from working and More ❯

is not essential but would be beneficial: Data Orchestration Tools: Familiarity with modern workflow management tools like Apache Airflow, Prefect, or Dagster Modern Data Transformation: Experience with dbt (Data Build Tool) for managing the transformation layer of the data warehouse BI Tool Familiarity : An understanding of how BI tools like AWS QuickSight consume data, and the ability to structure datasets More ❯