16 of 16 Permanent dbt Jobs in Central London

required) Duration: 12-Month Fixed-Term Contract Start Date: ASAP Domain: Banking/Wealth Management ( Mandatory ) Key Requirements Strong experience with Snowflake, SQL, and DBT Exposure to Salesforce and/or .NET/Intelligent Office Experience with Azure DevOps, Git, CI/CD, and automated deployments Strong data engineering skills ...

experience. Excellent stakeholder engagement and communication skills. Desirable Experience Professional Services or Consulting background. Microsoft Fabric, Azure Data Factory, Synapse Analytics, or Event Hubs. dbt on Databricks. MLflow and Databricks Asset Bundles. Data Mesh architecture principles. Databricks Certified Data Engineer Professional certification. FinOps and cloud cost optimisation experience. Why Join ...

data modelling principles are essential, alongside experience in a Data Engineering, Analytics Engineering, or Data Analyst role. Exposure to Azure, Databricks, Spark, or dbt is a bonus but not required. What you'll get Hands-on experience building production-grade pipelines and models on a modern Azure/Databricks stack ...

exploratory environments Track record of owning projects end-to-end , from data exploration through to recommendations Nice to Have but not required Experience with dbt or modern data stack tools Background in AI-first, messaging, or text-heavy platforms Exposure to non-tabular/unstructured data environments Why This Role ...

output feeds real trading and compliance decisions on a live, regulated exchange operating at huge scale. What you'll be doing: Building and owning dbt models on BigQuery across trading, finance, and regulatory domains Supporting both BI users (Looker dashboards) and AI agents consuming governed data via MCP Owning pipeline ...

Crisil Integral IQ delivers solutions and analytics to top financial institutions, driving strategic transformation, risk optimization, and operational excellence. Our offerings across research, risk, lending, analytics and operations have empowered clients to navigate complex markets ...

ideally within the Microsoft ecosystem or Azure Exposure to tools such as Sparx Enterprise Architect or similar modelling tools Familiarity with technologies such as DBT, PySpark or Python is beneficial Interest in progressing into a data architecture focused role Ability to engage with both technical and non technical stakeholders APPLY ...

everything they build. What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure … technical decisions across the stack — they love new ideas What You Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity ...

dimensions, ETL/ELT framework design. Production ETL development SSIS for understanding/decommissioning legacy work, plus modern alternatives (custom T-SQL frameworks, ADF, dbt, or equivalent) for new build. Operational SQL Server experience as the senior responsible person backups, restore, security, monitoring, performance triage, replication. Multi-instance estate experience … successful candidate to have a view on which tools add value where, and to bring that view to the role. Desirable Skills: Experience with dbt or comparable analytics-engineering frameworks. Experience working with legacy SSRS estates and migrating reporting workloads to Power BI. Experience with on-prem SQL Server ...

stakeholders Experience working in fast-paced, data-driven environments such as tech, fintech, or scale-up businesses Exposure to modern data tooling such as dbt is advantageous What They Offer Salary of £80,000 Hybrid working with three days per week in the office Opportunity to work on large-scale ...

such as dimensional modelling, Kimball, or Data Vault Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem Familiarity with tools such as DBT, Python, or PySpark is beneficial Experience working in data transformation or modernisation programmes Understanding of architecture principles or a clear interest in developing into ...

Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate … Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal ...

Senior Data Software Engineer with expertise in Python, SQL, databases, Linux, and Docker sought by one of the early Systematic Hedge Funds – an award-winning firm renowned for their collaborative and friendly culture. You will ...

billing automation pipelines and ensure they continue running effectively Complete in-flight data modelling projects and contribute to new model development Build and maintain dbt models, including fact and dimension tables and metric layers Collaborate closely with data engineering to support the end-to-end data platform Review … dbt work from analysts, supporting best practices and consistency Contribute to improving data quality, structure, and governance across the platform Your Skills & Experience Strong commercial experience with dbt, including building and maintaining data models Advanced SQL skills and working knowledge of Python in a modern data environment Experience working with ...

Public Services. Role: Snowflake Analytics Engineer Experience Level Required in Years: 8-10 years Mandatory Required Skills Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. **Modelling Concepts:** Semantic Modelling, Dimensional Modelling (Kimball), Business/Logical/Physical Modelling. **Skills:** Software engineering mindset applied to SQL; git workflows … automated testing. Please share the Detailed Job Description **Key Responsibilities** * Build and maintain scalable modular data models using dbt inside Snowflake. * Transition complex, unoptimised Teradata views into high-performance Snowflake tables. * Implement data quality testing, version control (Git), and CI/CD pipelines for analytics code. * Manage Snowflake warehouse optimization ...

structured data products that teams can actually use. They will be comfortable running discovery workshops with senior business stakeholders one day and reviewing a dbt model or semantic layer definition the next. Experience with a modern data stack ideally BigQuery, Looker and dbt is important, as is a genuine curiosity ...