376 to 400 of 839 Snowflake Jobs

approaches to using enterprise data for automation and insight. Experience with complementary data and MDM technologies such as Informatica, Collibra, Syniti, Microsoft Azure, Databricks, Snowflake or equivalent platforms. A strong external network, relevant certifications and a visible contribution to the SAP data community through industry perspectives, client innovation or alliance ...

Insurance; Healthcare and Lifesciences; Telecom, Media, and Technology; and Retail, Manufacturing and Distribution space. Deep collaborations with partners like Microsoft, AWS, Salesforce, and Snowflake strengthen our ability to deliver cutting-edge AI solutions. Our 30+years of partnership with Microsoft, and being part of the elite Microsoft Inner Circle, places ...

Insurance; Healthcare and Lifesciences; Telecom, Media, and Technology; and Retail, Manufacturing and Distribution space. Deep collaborations with partners like Microsoft, AWS, Salesforce, and Snowflake strengthen our ability to deliver cutting-edge AI solutions. Our 30+years of partnership with Microsoft, and being part of the elite Microsoft Inner Circle, places ...

project management skills. Skills That Are Nice to Have: Prior experience working with data products within enterprise space. Prior experience working with Salesforce, Snowflake, GoogleBigQuery, etc. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national ...

across multi-disciplinary teams.Experience reviewing the technical work of other data scientists.DesirableExperience using Azure Machine Learning Studio or similar cloud-based ML platforms.Experience using Snowflake or similar cloud-based data platforms.Experience leading, supporting, and mentoring junior colleagues.Experience applying data science or predictive modelling within general insurance.Personal AttributesNatural problem solver ...

frameworks, vector databases, and prompt engineering concepts Hands-on experience with Azure, AWS, or GCP preferred Experience working with enterprise data platforms such as Snowflake, Databricks, Azure Data Platform, or similar Ability to influence stakeholders and build alignment across business, technology, risk, and operations teams Comfortable engaging with both senior ...

edge laboratories and transformational models to provide the ultimate analytics practices and solutions. SDG Group has partnerships with the leading technology vendors: AWS, Microsoft, Snowflake, Matillion, ThoughtSpot & Dataiku. We are currently looking for a Data Consultant to join our Data practice based out of our Milton Keynes. As a Data …/ELT processes Architecture Support: Support the design of data models and architecture under the guidance of architects on Cloud Platforms (Azure, AWS, Snowflake or similar). Technical Delivery: Analysis, design and development of solutions and projects in the field of data engineering in Business Intelligence and Big Data. Quality ...

agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI and Snowflake Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting … learning. Minimum criteria Experience designing and building data warehouses/lakehouses using ETL/ELT tools, preferably Oracle ODI Strong database development experience with Snowflake, Oracle and/or PostgreSQL Strong understanding of dimensional modelling and star schema design Excellent SQL development and data manipulation skills Experience working with common ...

NPAworldwide is seeking an experienced Data Engineer to join its engineering team in the UK. You will design, build and maintain robust data pipelines, ensuring data availability, accuracy, security, and performance across central government, defence ...

directly with senior client stakeholders. The role will cover: • End-to-end data architecture across ingestion, processing, storage and analytics • Modern data platforms including Snowflake and Microsoft Fabric • Data engineering, ETL and scalable data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture and integration with legacy platforms • Data … data platforms and pipelines • Cloud experience across AWS, Azure or GCP • Strong understanding of modern data architecture and modelling • Experience with platforms such as Snowflake or Microsoft Fabric • Experience with Power BI, Tableau, Looker or similar • Understanding of data governance and AI governance • Strong advisory and stakeholder management skills, including ...

supporting scalable data pipelines and data products across modern cloud data platforms. The ideal candidate should have strong experience with Azure Data Factory, Snowflake, and DataOps. live, along with a good understanding of Data Product concepts, data integration, orchestration, and engineering best practices. Power BI experience is desirable and would … quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake as a core cloud data platform. Use DataOps.live practices and tooling to support version-controlled, automated, and repeatable data deployments. Collaborate with engineering and platform teams ...

rollback strategies Applying data warehousing principles across operational and analytical workloads Helping shape the future data platform as modern technologies such as Databricks and Snowflake are introduced Working closely with backend and frontend engineers to deliver end‐to‐end solutions Documenting architecture, data flows and key design decisions What … Kimball and Inmon Experience with Git, Jira and Agile development environments Desirable Experience Exposure to any of the following would be beneficial: Databricks or Snowflake AWS or other cloud environments Airflow or AWS Glue SSIS/SSRS Financial markets or financial data FinTech, SaaS, credit or data analytics environments Wider ...

warehouse. Experience with agentic harnesses or orchestration tools such as Pi, Hermes Agent, or similar platforms is a plus, but not required. Experience with Snowflake and zero-copy architecture patterns is a plus, particularly for retail, financial services, energy, or CPG-oriented use cases. Must Have : Developer certifications … Google Cloud, Microsoft Azure, Databricks, Snowflake, or related cloud/data platforms. Demonstrated experience applying AI engineering concepts in practical business environments rather than only academic or research settings. Hands-on experience supporting AI/ML and LLM lifecycle needs such as model deployment support, monitoring, validation, shadow deployments, release ...

fast-paced environment. Key ResponsibilitiesDesign, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse. Preferred Qualifications: Certifications in Azure, AWS, or GCP.Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Working ConditionsHybrid work arrangement: two-three days per week working from the office ...

tooling, such as AWS Cost Explorer, Azure Cost Management, GCP Billing, Apptio Cloudability or CloudHealth. Experience with cloud data platforms and warehouses, for example Snowflake, Databricks, BigQuery or Redshift. Exposure to modern data engineering tooling and practices, including dbt, Airflow, Git-based version control and CI/CD for data. … with APIs for data extraction and automation. Experience with SaaS cost and usage data. Experience designing and maintaining ETL and ELT pipelines. Experience with Snowflake or similar modern data platforms. Why Work Here? You will join a culture that values data-driven decision making, transparency and collaboration across business, technology ...

What You'll Do Understanding of data fabric, lake and warehousing principles and full project involvement in one or more major technology platforms, e.g. Snowflake, Azure etc. Development of the Extract Transform Load (ETL) for the relevant data insights platform Working in partnership with ET teams, across the relevant areas … dashboarding experience (Power BI required; experience producing actionable dashboards and optimising UX for decision making). Hands-on experience building data products using Snowflake and/or Azure (Synapse, ADLS, Azure SQL, Azure Data Factory) and operationalising these on Azure. Experience working with stakeholders across business, product and engineering ...

modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access controls, cost governance, multi-environment deployment, data sharing, replication and disaster recovery. Define scalable batch, real-time, event-driven … creation of scalable, reusable and business-oriented models, standards and development frameworks. Advanced experience in designing and operating cloud-native data platforms, particularly Snowflake, including performance and workload management, security and access controls, cost governance and FinOps, multi-environment deployments, data sharing, replication and disaster recovery. Strong knowledge of Azure ...

ability to explain complex data and architecture decisions clearly to technical and non-technical audiences. Nice to have, but not essential Experience with Snowflake or comparable platforms such as BigQuery, Redshift or Databricks. Experience with a specific governed semantic-layer platform such as dbt Semantic Layer, LookML, ThoughtSpot … governed, trustworthy data. The tools and ways of working Dimensional modelling, layered warehouse design, stated grain, slowly changing dimensions, entity resolution and data contracts. Snowflake preferred, or comparable cloud data warehouses such as BigQuery, Redshift or Databricks. dbt or an equivalent transformation and modelling framework. A governed semantic ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected … Data Engineering and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau,Databricks, Snowflake, Microsoft Purview, Collibra, Informatica,Claude, Chat GPT,Microsoft Copilot,Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience of implementing ...

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world‐class partnerships – all united by ourpioneeringagentic marketing platform, WPP Open – we help clients navigate ...

Data & AI team, contributing to cloud data platforms, AI-enabled data pipelines and intelligent delivery practices. You will work across Azure, AWS, GCP, Databricks, Snowflake and related AI-assisted tools, delivering scalable data solutions and collaborating with architects and business stakeholders. The role emphasizes building modern data and AI capabilities ...

data systems from ingestion to data products, focusing on reliable, scalable architectures. You'll work with SQL, Python, and cloud warehouses (BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, Prefect, Dagster) while collaborating with analytics, data science, and product engineering to deliver impact across the organization. #J-18808-Ljbffr ...

Senior Data Engineer to join our fast-growing team. You will design, build, and maintain scalable data pipelines using SQL and Python, leveraging Databricks, Snowflake, and cloud services. You will lead data integration efforts, implement CI/CD for pipelines, mentor engineers, and ensure governance and security while collaborating with ...

drive operational efficiency. Working with Rights, Royalties and Insights, you’ll translate data into business decisions, build ETL/ELT pipelines in AWS and Snowflake, and create dashboards in Power BI, Tableau or Looker to #J-18808-Ljbffr ...

workflows. You'll design data models, ship trustworthy SQL, and collaborate with senior engineers to raise our analytics depth. You'll work with dbt, Snowflake, Looker and modern data platforms, own data quality and observability, and enable self-service BI for the business. #J-18808-Ljbffr ...