21 of 21 dbt Jobs in the City of London

Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. Demonstrable ...

Azure) Experienced building real pipelines — not just notebooks Curious about how financial systems actually work Bonus points for: Exposure to ML workflows Familiarity with dbt, Airflow, Docker Experience handling financial or semi-structured data Interest in LLM infrastructure and vector databases Finance background is not required. Intellectual horsepower and ownership ...

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. ...

data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing at exec level. ...

Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more major cloud environments— Azure, GCP, or AWS —is also expected. In return for your ...

project. What you'll need to succeed Strong Python and SQL are crucial to this role On-prem to Snowflake migration experience Airflow and DBT experience GitHub experience as you will be building CI/CD pipelines as part of this role Any experience within post-trade, OTC, swaps will ...

data pipelines or distributed systems Experience in data, analytics engineering, platform engineering or technical consultancy Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow. Why now? The company is scaling rapidly across industries. Join now and you’ll: Shape how the platform evolves Learn directly from senior ...

Experience needed 2–5+ years experience as a Data Scientist Strong Python or R for analysis and modelling Strong SQL Strong experience working with dbt Understanding of data modelling and orchestration Solid understanding of statistics, experimentation, or quantitative analysis Experience working with modern data warehouses (Snowflake, Redshift etc.) Drop ...

Editor, DAX Studio, Measure Killer Data Modelling & Architecture: Semantic design, Star Schemas, Semantic models Databases & Platforms: Snowflake, Azure Databricks Data Engineering & ETL: ETL processes, DBT, IBM Data Manager DevOps & Governance: GitHub, Version control, CI/CD, License management, Capacity optimisation Background in commodities or energy trading environments strongly preferred This ...

individual covering every area of expertise is unlikely. However, they idea candidate would have: Strong knowledge of semantic layer design and optimization (e.g., LookML, dbt, or similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs) for conversational analytics. Exposure to cloud ecosystems (Azure ...

Significant experience in governance, MDM, metadata, lineage, modelling, quality management, and data security. Vast Snowflake expertise Hands-on experience with data engineering, python and dbt Strong stakeholder management skills Strong analytical skills Experience in leadership and shaping architectural direction ...

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 ...

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 … 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 ...

business. 🌐 What You’ll Do 🏗 Data Platform Architecture & Strategy Define and evolve the data architecture roadmap Design scalable ELT/ETL frameworks using DBT and cloud data warehouses Establish orchestration standards (Dagster or equivalent) Drive decisions across batch, streaming, and real-time pipelines Champion data modelling standards, semantic layers … Influence KPI and metric governance across teams Act as technical escalation point for complex data challenges 🛠 Technical Environment Core Expertise Advanced SQL & Python Deep DBT experience (modelling, testing, macros, documentation) Workflow orchestration (Dagster preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases ...

Responsibilities/Objectives You will be responsible for designing and building scalable data pipelines, Data Vault models/Dimension Model, and Snowflake/dbt workloads for cloud migration projects. Implement Data Vault 2.0 (Hubs, Links, Satellites)/Dimension Model on Snowflake. Build ELT pipelines using Snowflake, dbt, Python/PySpark. … architects, analysts, and DevOps. Maintain documentation, lineage, governance standards. Required Skills/Experience The ideal candidate will have the following: Strong SQL; Snowflake ELT; dbt experience. Python/PySpark, ETL/ELT design. Data Vault 2.0 or dimensional modeling. AWS services (S3, Glue, Lambda, Redshift) or GCP equivalents. Experience with ...

integrations into Redshift Manage orchestration using GitHub Actions Ensure uptime, reliability, monitoring and data quality across all systems Analytics Layer Build and maintain dbt models that are clean, well structured and agent friendly Develop core business metrics, product telemetry, customer health signals and financial KPIs Create a scalable semantic layer … years or more experience across full stack data including ETL, modelling, analytics and predictive systems Strong Python for ETLs and analysis Strong SQL and dbt experience Experience building from scratch in a startup or a strong desire to do so Comfortable using AI coding tools daily Ability to thrive ...

security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned … cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product ...

customer information across all touchpoints. Length: 12 months Location: London, UK Environment: Hybrid - 2-3 days in the office Key responsibilities: Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence Implement data quality tests and monitoring to ensure accuracy and reliability Optimise … What is required to be successful in this role: Strong SQL skills with experience in complex data transformations, CTEs and window functions Expertise with dbt and modern analytics engineering tools Solid understanding of dimensional modelling and data warehousing concepts Experience with Git-based workflows for version control and collaboration ...

Head of Analytics Engineering Central London | Hybrid Up to £120k dbt, Python, Airflow, Looker, SQL We’re partnered with a high-growth fintech company looking to hire a Head of Analytics Engineering to take ownership of a critical data platform that powers commercial performance and incentive models across Europe. These … rewards growth. Experience needed 3+ years in Analytics Engineering or Data Engineering roles Leadership and mentoring experience Strong SQL and modern data stack experience (dbt preferred) Experience with Python and orchestration tools such as Airflow Experience building scalable data pipelines and data products Experience working closely with business stakeholders Drop ...

Senior Machine Learning Engineer — Ranking & Recommendations Tech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAG Salary: £110,000 – £130,000 plus 8% bonus Contract: Permanent, full-time Location: London, 3 days per week Sponsorship: Tier 2 sponsorship available We're looking for a Senior Machine Learning Engineer … proficiency with Python and modern ML frameworks Experience with cloud-based ML infrastructure (ideally GCP) Familiarity with data warehousing tools such as BigQuery and dbt Interested? Apply below or reach out directly at mmatysik@trg-uk.com ...

plus benefits This is an exciting chance to join a growing data function during a major modernisation phase. You will take real ownership of dbt development, help shape a new data platform, and play a key role in building reliable, scalable analytics foundations. The Company They are a digital subscription … includes specialists across data engineering, analytics engineering and data science, creating a collaborative environment built for innovation. The Role You will • Own and develop dbt models following best practice and internal standards • Optimise and maintain dbt pipelines to ensure stable, high performing transformations • Oversee releases into production and support robust ...