26 to 50 of 93 dbt Jobs in London

statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large‐scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field preferred. Exceptional communication ...

Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing ...

join their London-based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work with ...

embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude-based developer tools) Qualifications: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Benefits ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

Excellent SQL development experience Highly experienced in data ingestion, processing and storage techniques on cloud native platforms Experience with cloud data management (Snowflake, AWS, DBT or similar Paas/SaaS) Experience of enterprise data management and security at scale Knowledge of data modelling and optimisation Expert in data processing, testing ...

Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing ...

Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert in data processing ...

coordination across the data engineering domain. Engage with data engineering technical detail when needed, understanding the data platform landscape including data ingestion, transformation (DBT), orchestration (Airflow), streaming (Kafka), and data warehousing (Snowflake), and able to articulate technical choices and trade-offs to different stakeholders. Work at both conceptual and detailed … business benefit despite complexity in data requirements and priorities. What I need to know: Strong understanding of data engineering technologies including data ingestion, transformation (DBT), orchestration (Airflow/Astronomer). Experience with cloud data platforms (AWS data services, Azure data services) including cost management and optimization Knowledge of data quality ...

interaction data and building reproducible analysis pipelines Ability to design pragmatic evaluation metrics where ground truth is fuzzy Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar Clear communicator who can influence without authority Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel ...

into our lakehouse and other parallel data stores, introducing data retention policies, and helping migrate to modern SQL frameworks and languages. Tech stack: Databricks, DBT, Fivetran, Python, SQL, AWS, Terraform, Kafka, ECS, Kubernetes. Location: London HQ but mainly remote. ...

stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector databases, RAG pipelines, GPU scaling) is a significant plus. ...

office location* Opportunity to join a rapidly growing Data & Analytics function* Exposure to modern cloud, analytics and AI technologies including Snowflake, Azure, AWS and dbt ...

know when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

building and scaling AE and Sales Engineering functions in a high‐growth environment. Preferred Qualifications Experience selling into the modern data stack ecosystem (Airflow, dbt, Snowflake, Databricks, Kafka, or similar). Familiarity with open‐source‐led or product‐led growth (PLG) sales motions — understanding how to convert community users into ...

perspective. Strong SQL skills, with the ability to write and execute data validation tests. Experience testing data pipelines and data transformations. Experience with dbt is desirable but not essential. Excellent analytical and problem-solving skills with strong attention to detail. Disclaimer Notwithstanding any guidelines given to level of experience sought ...

transformation layers within cloud‐native environments. Technical depth across modern data tooling: Strong hands‐on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake). Startup or scale‐up experience: You’ve operated within fast‐moving product or engineering‐led environments ...

structure and efficiency Proficiency in Git Proficiency in AI/ML frameworks: Huggingface, Torch, TensorFlow, Scikit‐Learn, and Spacy Experience in MLOps platforms: MLFlow, dbt, Docker, Kubernetes Experience with cloud environments such as AWS Technical Concept Requirements Experience in NLP, Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions ...

Technical Fluency: A strong conceptual mastery of modern data platforms. You do not code, but you understand the architectural implications of AWS (S3), Databricks, dbt, Apache Iceberg, and legacy mainframe/SAS ecosystems well enough to guide technical decision‐making. Stakeholder Influence: Proven ability to manage C-suite and senior ...

platform engineer and presenting a business case to a C‐minus‐1. Preferred, not required Experience with the modern data stack: Snowflake, Databricks, dbt, Airflow, BigQuery, Spark, or similar. Data observability, data quality, or AI observability experience is a strong plus. Familiarity with MEDDPICC, Command of the Message, or similar ...

design (Raw/Conformed/Consumption layers), virtual warehouse sizing, and cost governance Define standards for data loading (Snowpipe, Streams & Tasks, external stages), transformation (dbt patterns), and data sharing across business units Establish Snowflake data access controls, row‐level security, dynamic data masking, and PII governance in line with regulatory … data architecture working groups with platform, BI, and enterprise architecture teams to align on shared standards Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance ...

layers.* Validate Snowflake data lake and data warehouse outputs against source systems, business rules, transformation logic, and reporting requirements.* Test ETL and ELT processes, dbt models, SQL transformations, data mappings, aggregations, reference data, and downstream Power BI outputs.* Apply data quality checks covering accuracy, completeness, consistency, timeliness, validity, uniqueness … test evidence, defect analysis, risk commentary, and release readiness input for product delivery decisions.Automation Framework and Test Harness Maturity:* Maintain and improve the existing dbt Core/dbt Cloud test harness for Snowflake-based data validation.* Extend reusable automated test coverage for ingestion checks, transformation validation, regression testing, reconciliation ...

/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy* Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.* Experience with working cloud environments such as AWSTechnical Concept Requirements* Experience in any of the following AI/ML topics within a work context ...

data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling and visualization tools (SQL, DBT, Excel, Tableau, or similar software). Expertise in creating advanced data visualizations that effectively communicate complex insights to a broad audience, including dashboards and interactive ...

technical decision-making. Support the development and evolution of cloud data solutions. Contribute directly to engineering delivery and implementation. Technical Environment AWS Snowflake dbt Required Skills & Experience Strong experience leading data engineering initiatives. Deep expertise with AWS, Snowflake and dbt. Strong understanding of modern data architecture and platform design. Experience ...