526 to 550 of 815 Snowflake Jobs

stack - enrichment and data (Apollo, Clearbit, ZoomInfo, Cognism, PredictLeads), signal and intent (6sense, Bombora, UserGems), sequencing (Outreach, Salesloft), orchestration (n8n, Make, Workato), data infrastructure (Snowflake, dbt, BigQuery) and LLM and agent tooling. Nobody has all of it. We care that you have real depth somewhere and can learn the rest ...

align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 600+ across Paris, London, New York ...

Implement automated data quality controls and validate key business metrics Develop data processing components for analytical apps and automation; adapt to evolving requirements Create Snowflake semantic views and define metrics for self-service/AI analytics Support data scientists and analysts with data models; validate data consistency and metric accuracy … with analytical data modelling and historical data concepts Experience with dbt or similar data transformation framework Experience with relational databases or cloud data warehouses; Snowflake familiarity beneficial Experience with scheduled workflows, monitoring, and incident investigation Experience automated data quality checks and validating outputs Experience Git, code reviews, CI/ ...

across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions … architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern ...

rebuild it for their own use. What This Role Does The Data Engineer owns the movement of data from source systems into the Snowflake data platform. In practice that means designing, building, and maintaining ingestion pipelines; orchestrating workflows in Dagster so they are observable, reliable, and operationally sound; and monitoring … have hands-on experience with a cloud data warehouse, a data transformation and modeling framework, and a workflow orchestration tool. Experience with Snowflake, dbt, and Dagster is strongly preferred, as is familiarity with AWS, including storage, IAM, and basic networking concepts. Preferred experience includes Python for pipeline development or data ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such … Docker and container orchestration tools AWS cloud infrastructure including AWS CDK MS SQL No SQL database such as Mongo AI Tools such as CoPilot, Snowflake Cortex About our client We believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want ...

sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from high-volume transactional retail data. End-to-End Deployment (MLOps): Partner with our engineers to transition your models … clean code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data ...

work closely with investors, analysts, risk colleagues and technical teams to translate business requirements into trusted, reusable and well-designed data products, with Snowflake as our primary investment data platform. This is a hands-on, individual-contributor role with a high degree of autonomy. It is deliberately neither a pure … entitlement considerations.* Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant.* Hands-on experience with major investment data vendors, for example ...

agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI, dbt, Snowflake and AWS. Working with business users to design and configure self-serve data environments within our data warehouse and data lake Analysing, developing, delivering … these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI or dbt Significant database experience in Snowflake and/or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering ...

agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI, dbt, Snowflake and AWS. Working with business users to design and configure self-serve data environments within our data warehouse and data lake Analysing, developing, delivering … these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI or dbt Significant database experience in Snowflake and/or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering ...

Data Engineering Manager, you will: Lead delivery of cloud-scale data engineering programmes and platform migration initiatives across Azure, Databricks, Microsoft Fabric, Snowflake, AWS and GCP Drive AI-assisted pipeline development as standard engineering practice — setting team norms around the use of GenAI tooling for pipeline build, testing and documentation … significant experience in the following: Design and delivery of cloud-scale data engineering solutions across one or more of: Azure, Databricks, Microsoft Fabric, Snowflake, AWS or GCP AI-assisted pipeline development — proven experience using GenAI tooling to accelerate engineering delivery and governing the quality of outputs Data quality, observability ...

likely to involve: Python, including libraries such as Pandas, NumPy and scikit‐learn. SQL and large structured datasets. Cloud data platforms such as Snowflake, Databricks or similar. Git‐based version control and code review. CI/CD and automated testing using tools such as Azure DevOps, GitHub Actions or similar. … maintainability. Nice to Have Hands‐on experience with cloud platforms such as Azure, AWS or GCP. Exposure to modern data platforms such as Snowflake, Databricks, Spark or similar. Experience with MLOps practices such as model deployment, monitoring, versioning or model registries. Exposure to workflow orchestration or deployment tools such ...

work closely with investors, analysts, risk colleagues and technical teams to translate business requirements into trusted, reusable and well-designed data products, with Snowflake as our primary investment data platform. This is a hands-on, individual-contributor role with a high degree of autonomy. It is deliberately neither a pure … entitlement considerations. Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant. Hands-on experience with major investment data vendors, for example ...

architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data … Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals ...

architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data … Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals ...

Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing … management and cataloguing, through to advanced analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human ...

data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large … into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud ...

architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business. Leveraging your expertise in Snowflake and dbt, you will enable the delivery of trusted, well-governed data that supports critical functions including analytics, pricing, risk, and strategic decision-making across … make an impact Architecture & Strategy Define and implement the enterprise data architecture aligned to insurance business priorities (underwriting, claims, actuarial, finance) Design and optimise Snowflake-based data platforms, ensuring scalability, security, and cost efficiency Lead the transition from legacy policy, claims, and finance systems to modern cloud data solutions Establish ...

developing yourself along the way.We're looking for a Senior Platform Engineer to contribute/lead the development of secure, scalable, and automated Snowflake services and capabilities within our enterprise data platform. You'll work with high autonomy to deliver robust infrastructure, CI/CD pipelines, and governance frameworks that … empower data teams to drive advanced analytics.In this senior role, you'll shape platform standards, and ensure Snowflake is operated in a reliable, cost-effective, and compliant manner. Your work will directly support data-driven innovation in a healthcare and insurance environment, improving patient outcomes and operational efficiency.How ...

data architecture and engineering, aligning data solutions with compliance standards. The role involves creating architecture artifacts, designing scalable data solutions with cloud technologies like Snowflake and Databricks, and collaborating with solution architects. This hybrid position offers a salary of £450 - £500 per day, commensurate with experience. #J-18808-Ljbffr ...

will own delivery across architecture, data integration and AI use cases, directing cross-functional teams to deploy Oracle EPM, OneStream or Anaplan and integrate Snowflake or Databricks. #J-18808-Ljbffr ...

shape a cloud-based BI platform, champion best practices, and guide juniors in delivering value through Qlik Sense and Power BI, with SQL and Snowflake powering data exploration. #J-18808-Ljbffr ...

defined area of the data platform, lead end-to-end delivery and mentor engineers. The role focuses on robust ingestion and transformation using Snowflake, dbt and Azure, within a distributed leadership model. You will collaborate with product owners, architects and third-party suppliers to deliver scalable data solutions that ...

shape a cloud-based BI platform, champion best practices, and guide juniors in delivering value through Qlik Sense and Power BI, with SQL and Snowflake powering data exploration. #J-18808-Ljbffr ...

engineering roadmap and delivery plan, driving best practices and modern data solutions for global customers. The role requires strong leadership, cloud data platform experience (Snowflake/Databricks), advanced SQL/Python, and a proven ability #J-18808-Ljbffr ...