401 to 425 of 693 Permanent dbt Jobs

based data pipelines that power predictive models and advanced analytics • Ingesting financial, operational, and third-party data from APIs into scalable storage layers • Developing dbt transformations and ELT workflows for analytics and machine learning • Orchestrating workloads using Airflow and modern CI/CD practices • Supporting model execution environments, including Azure … required) What you’ll be doing • Designing and building scalable data pipelines in a modern Azure environment • Developing modular, production-grade ELT workflows (dbt, Airflow, SQL, Python) • Modelling data for analytics, BI, forecasting, and machine learning use cases • Optimising data architectures for performance, cost, and reliability • Working closely with data ...

based data pipelines that power predictive models and advanced analytics • Ingesting financial, operational, and third-party data from APIs into scalable storage layers • Developing dbt transformations and ELT workflows for analytics and machine learning • Orchestrating workloads using Airflow and modern CI/CD practices • Supporting model execution environments, including Azure … required) What you'll be doing • Designing and building scalable data pipelines in a modern Azure environment • Developing modular, production-grade ELT workflows (dbt, Airflow, SQL, Python) • Modelling data for analytics, BI, forecasting, and machine learning use cases • Optimising data architectures for performance, cost, and reliability • Working closely with data ...

Responsibilities Transform complex data into strategic insights that support growth, efficiency, and operational excellence. Support the design, optimization, and operations of data pipelines in dbt and Snowflake, ensuring our analytics ecosystem remains fast, trusted, and future-proof. Develop and maintain scalable data models and products that serve as the backbone ...

Responsibilities Transform complex data into strategic insights that support growth, efficiency, and operational excellence. Support the design, optimization, and operations of data pipelines in dbt and Snowflake , ensuring our analytics ecosystem remains fast, trusted, and future-proof. Develop and maintain scalable data models and products that serve as the backbone ...

Responsibilities Transform complex data into strategic insights that support growth, efficiency, and operational excellence. Support the design, optimization, and operations of data pipelines in dbt and Snowflake , ensuring our analytics ecosystem remains fast, trusted, and future-proof. Develop and maintain scalable data models and products that serve as the backbone ...

tooling Experience with IAM access controls, DPIAs, and LIAs Excellent communication and stakeholder management skills Desirable: Experience with GCP, Dataplex, BigQuery, and/or dbt Background in insurance or regulated environments Experience delivering data literacy or stewardship initiatives Benefits Flexible hybrid working Strong focus on learning and career development ...

maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless … scalability and resilience. Sample Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs ...

maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless … scalability and resilience. Sample Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs ...

maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless … scalability and resilience. Sample Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs ...

With a focus on intuitive front-end creation, robust backend Frameworks and strong data design Lead, a globally dispersed team Experience with AWS, Databricks, DBT, PySpark, React, JavaScript Terraform. Experience with AI/ML/Gen AI/LLM What you need to do now If you're interested ...

engineering. With a focus on intuitive front-end creation, robust backendFrameworks and strong data design Lead, a globally dispersed team Experience with AWS, Databricks, DBT, PySpark, React, JavaScript Terraform. Experience with AI/ML/Gen AI/LLM What you need to do now If you're interested ...

Analytics Engineer - DBT & SQL Location: London - Hybrid (3 days/week central London office) Salary: £40,000 depending on experience Ref: J13038 Please note sponsorship is not available now or in the future. An exciting opportunity has opened up at one of the UK's fastest-growing independent media agencies ...

domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation … dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). Familiarity with analytics engineering tools including dbt, Airflow, and Git for version control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ ...

scheduling using workflow tools Build and deploy containerised and serverless data solutions Apply software engineering fundamentals to data engineering challenges Technology Stack Snowflake dbt Airflow SQL (strong focus) Cloud platforms (AWS, Azure, or GCP) Containers and Function Apps SQLMesh (or similar data transformation frameworks) Requirements 2–3 years’ experience … working in a cloud environment Solid understanding of data engineering principles Computer Science or related technical degree Familiarity with data modelling and transformation tools (dbt preferred) Exposure to containers and serverless/function-based architectures Good communication skills and a collaborative mindset Nice to Have Experience with Snowflake in production ...

improve data engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake , dbt , and SQL . Develop efficient ELT workflows to process large volumes of structured and semi-structured data. Implement data governance, security, and compliance standards within … cloud data platforms (AWS, Azure, or GCP). Proficiency in Python for data transformation and automation. Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect ). Knowledge of data modelling , data warehousing , and modern analytics architectures . Familiarity with DevOps practices , CI/CD pipelines, and infrastructure ...

improve data engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake , dbt , and SQL . Develop efficient ELT workflows to process large volumes of structured and semi-structured data. Implement data governance, security, and compliance standards within … cloud data platforms (AWS, Azure, or GCP). Proficiency in Python for data transformation and automation. Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect ). Knowledge of data modelling , data warehousing , and modern analytics architectures . Familiarity with DevOps practices , CI/CD pipelines, and infrastructure ...

best tools for the job. You will be taking ownership of a stack built on: Ingestion: Weld Warehousing & ML: BigQuery and Vertex AI Transformation: dbt Orchestration: Airflow BI: Looker Studio What This Role Involves This is a Full Stack Analytics Engineering role. You will own the lifecycle of data from … write custom Python scripts/extractors to fetch data where out-of-the-box connectors fail or are not available. 2. Transformation, Quality & Observability (dbt) The Semantic Layer: You will build and maintain our dbt project. You will write modular, version-controlled SQL and document it in YAML files. Data ...

best tools for the job. You will be taking ownership of a stack built on: Ingestion: Weld Warehousing & ML: BigQuery and Vertex AI Transformation: dbt Orchestration: Airflow BI: Looker Studio What This Role Involves This is a Full Stack Analytics Engineering role. You will own the lifecycle of data from … write custom Python scripts/extractors to fetch data where out-of-the-box connectors fail or are not available. 2. Transformation, Quality & Observability (dbt) The Semantic Layer: You will build and maintain our dbt project. You will write modular, version-controlled SQL and document it in YAML files. Data ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...

Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only candidates … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based) Duration ...