51 to 75 of 196 Remote/Hybrid dbt Jobs

What we’re looking for Deep Expertise in SQL with experience working with modern Data Warehouses (Snowflake, Redshift, BigQuery). Hands-on experience with DBT, building and maintaining modular, scalable data models. A practical approach to problem-solving that balances high technical standards with key business priorities Exceptional communication ...

challenge ideas, learn, and grow. Nice to have Hands-on familiarity with the modern data stack — for example, Spark, Flink, Kafka, Debezium, Airflow, dbt, or similar — and with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices. Experience leading teams that built data platforms used by multiple teams ...

lifecycle. What you’ll be doing Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) Define ...

both technical and non-technical stakeholders. Nice to have Experience working in SaaS, fintech, B2B technology, or a scaling business Experience with Python, dbt, data modelling, data warehouses, or advanced analytics techniques is advantageous #J-18808-Ljbffr ...

analysis clearly to both technical and non-technical stakeholders. Nice to haveExperience working in SaaS, fintech, B2B technology, or a scaling businessExperience with Python, dbt, data modelling, data warehouses, or advanced analytics techniques is advantageousJob InformationDate Opened 27/07/2026 Job Type Full time Industry SaaS City London ...

Athena) Hands-on experience with orchestration and workflow tools (Docker, Kubernetes, Airflow, Prefect, Dagster) Familiar with CI/CD pipelines, infrastructure as code, and DBT Able to explain complex data concepts clearly to non-technical stakeholders Why This Role Matters: Deliver lightning fast data pipelines handling billions of rows daily ...

translate business requirements into practical analytical solutions. Strong understanding of data governance, quality, security and enterprise data environments . Desirable Python, notebooks or dbt experience. Forecasting, predictive analytics or machine-learning experience. Experience working with CRM, finance, commercial or operational datasets. Background within financial services, professional services, fund administration ...

commitments to other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/ ...

working with Databricks, ideally including Unity Catalog, Jobs/Workflows and PySpark. An understanding of infrastructure as code and reproducible deployment practices. Familiarity with dbt and modern data warehouse/lakehouse patterns. PureGym is proud to be an equal opportunities employer. Our company mantra is 'Everybody Welcome ...

with the Director of Data Platform and Directors in other functions such as Product, Engineering, Partnerships, Finance and Marketing. Our stack includes AWS, Snowflake, dbt, Looker, Python, R and other best in class, modern tooling for business reporting, experimentation, and analysis. We are heavily invested in advanced AI-enhanced analytics ...

dollars under management. As a Senior Data Engineer you'll build and optimise reliable data pipelines and integrations using Python, SQL, Dagster, Snowflake, DBT and C#, while leveraging agentic AI tooling to accelerate delivery. You'll play a key role in shaping a new Snowflake based data platform, influencing architecture ...

part we consider hardest to buy: translating how the business works into models and numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across ...

ingestion of data from disparate source systems into a centralised data analytics platform. Designing and implementingdata engineering solutions using T-SQL, Python, PySpark and DBT in the Azurecloud environment. Working with Data Analystsin promoting business logic into DBT data models, to support business reportsand dashboards. Maintaining and leveragingCI/… stored proceduresin T-SQL or a similar enterprise database toolset. Experienceworking in an Agile software development framework. Excellentworking knowledge of Data Build Tool (DBT) with a demonstrated ability indeveloping data models, contracts, tests, validation, and transformations Experienceworking with modern data distributed file formats (i.e., Parquet, Delta,Iceberg, Hudi) Demonstratedexperience with ...

role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership. Experience designing and enforcing ...

existing database and reporting solutions across the full SQL Server suite, including SSIS/SSRS packages Build data pipelines using modern tooling such as dbt, alongside existing SSIS/SSRS where relevant Own schema and data model design decisions, applying sound data warehousing principles to both operational and analytical workloads … strategies, and production release validation Solid experience modelling, designing, and deploying database solutions using Microsoft’s SQL Server Data Tools Hands‐on experience with dbt for data transformation, building version‐controlled, testable pipelines Experience with Power BI, including paginated/report‐server style reporting, for both interactive and operational reporting ...

requirementsMaintain existing database and reporting solutions across the full SQL Server suite, including SSIS/SSRS packagesBuild data pipelines using modern tooling such as dbt, alongside existing SSIS/SSRS where relevantData architectureOwn schema and data model design decisions, applying sound data warehousing principles to both operational and analytical workloadsAssess … versioning, rollback strategies, and production release validationSolid experience modelling, designing, and deploying database solutions using Microsoft's SQL Server Data ToolsHands-on experience with dbt for data transformation, building version-controlled, testable pipelinesExperience with Power BI, including paginated/report-server style reporting, for both interactive and operational reporting needsStrong ...

advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product ...

advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product ...

strong data culture. What We’re Looking For Extensive experience in analytics and analytics engineering within a fast-paced, commercial environment. Advanced SQL and dbt expertise with a strong focus on data modelling and architecture. Strong experience working with BigQuery or similar modern cloud data platforms. Deep expertise with ...

insurance, or banking)* Experience operating within a data product or platform operating model, not solely project-based delivery**Desirable*** Experience with transformation frameworks (e.g. dbt)* Experience with streaming or event-driven architectures* Exposure to semantic layers, metrics layers, or feature engineering patterns* Experience managing platform costs and optimising spend ...

insurance, or banking) Experience operating within a data product or platform operating model, not solely project-based delivery Desirable Experience with transformation frameworks (e.g. dbt) Experience with streaming or event-driven architectures Exposure to semantic layers, metrics layers, or feature engineering patterns Experience managing platform costs and optimising spend ...

with NHS or other routine healthcare data at patient level Unity Catalog, Delta Lake and medallion structure, bronze to silver to gold Exposure to dbt and dimensional modelling Experience contributing to vendor or partner relationships, such as with Databricks Experience designing for multi-region operations (UK, Middle East, EU) Flexible ...

with experience writing version-controlled, tested and maintainable code. Experience with the Python geospatial ecosystem and working with PySpark on Databricks. Working knowledge of dbt, MLflow and production model deployment patterns . Confidence using AI-assisted development tooling appropriately as part of the development lifecycle. Strong written and verbal communication ...

shape the way data is delivered. This role will be 70% Analytical and 30% Data Engineering. Tech Stack Snowflake AWS Python SQL SQLMesh/dbt BigQuery Why This Role? Real ownership of an established cloud data platform Significant influence on technical direction and best practice Opportunity to work closely with ...

modern enterprise technology environment, then please apply now to be considered. £90,000 – £100,000 + remote working + excellent benefits Spark, Airflow, dbt, Kubernetes, OpenShift, AWS, Azure, PostgreSQL, GitHub, ArgoCD ...