276 to 300 of 840 Snowflake Jobs

Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Experience of software engineering in an enterprise environment. The ability to write production-grade code and to use coding assistants in a responsible manner. ...

stack – particularly pre-configured API tools such as Funnel/FiveTran/Adverity and exposure to a data warehouse product – Databricks/GBQ/Snowflake would be ideal. Not expecting hands on experience in engineering but familiarity with the processes of creating pipelines and data modelling would be hugely beneficial ...

semantic layer tooling We do not expect you to have worked with all of these. If you have built production pipelines on Snowflake, BigQuery or Redshift and you are curious about where we are going, that transfers. What we offer An international company in growth, and a flat structure Join ...

Platform, use of some of the following languages and tools would be very helpful: GCP (e.g. IAM, Cloud Run, GKE, Cloud Storage, VPC networking)Snowflake Data PlatformTerraformGitlab CIFamiliarity with SQLDocker and KubernetesApache AirflowObservability tools - especially those relevant to Data PlatformsDBTInformatica. Next Steps: The application form consists of a CV upload ...

with full stack application development. Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.). Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular. Strong ...

inference or uncertainty quantification, Bayesian or probabilistic forecasting, hierarchical reconciliation, optimisation or simulation. MLOps or cloud data-science experience using platforms such as Databricks, Snowflake, Azure ML, SageMaker or Vertex AI. Experience with Anaplan, OneStream, Pigment, Oracle EPM or SAP Analytics Cloud, including integration of external models or analytical services. ...

modern and traditional ecosystems - with extensive experience architecting data solutions using cloud services. You have deep knowledge of the modern data stack (e.g. Databricks, Snowflake, Fabric), and manage delivery with an Agile mindset. Data Architecture Design: You know exactly how (but especially when) to implement varied architectural patterns, data modelling ...

data owners and governance stakeholders to establish common definitions, terminology and semantic alignment.Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse of semantic ...

parsing financial documents at scale, and/or optimising LLM performance, cost, and latency. Exposure to enterprise data architectures (Kafka/Event Hubs, lakehouse, Snowflake, Oracle) and experience distributed international teams. Location & Work Model: Location: London,UK Working model: Remote for the first 6 months, transitioning to a hybrid model ...

customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees ...

experience with data architecture and analytical data modelling. Experience with modern transformation frameworks such as dbt and cloud data platforms such as Databricks, Snowflake or equivalent. Experience leading, mentoring or technically guiding Data/Analytics Engineers. Understanding of the complete data lifecycle from source applications and ingestion through transformation, semantic ...

bring both the strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar. Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust ...

graph or semantic retrieval, data engineering, event-driven integration or workflow orchestration. Experience deploying software or data products on Azure, AWS or GCP, DataBricks, Snowflake, Palantir etc. using relevant cloud services and at least one of containers, Kubernetes or serverless patterns. Delivery experience in a regulated environment or under formal ...

craft.** Clean design, sensible grain, thoughtful naming, and models that stand up to real-world use.# # Nice to have Working knowledge of **Snowflake** (our cloud data platform), and comfort with scheduling and orchestration tools such as Airflow. Familiarity with **testing TDD, DevOps and CI/CD** as applied ...

Experience evaluating data maturity and providing recommendations to align current capabilities with long‐term strategic goals. Technical Proficiency: Practical experience with SQL, particularly within Snowflake database environments. Cloud Infrastructure: A general understanding of cloud resources, specifically AWS architectures. Where and how you'll work This is a permanent position based ...

impact modelling, signal generation, back-testing, and trading performance analytics. Strong understanding of cloud-native data platforms and hybrid architectures, including Azure, AWS, Databricks, Snowflake, and modern real-time analytics platforms. Experience working directly with traders, execution teams, quantitative analysts, market risk teams, engineering teams, and market data vendors. Excellent ...

teams in designing robust process data models, building efficient ETL/processing pipelines, and seamlessly integrating enterprise data ecosystems (such as Salesforce Data Cloud, Snowflake, or legacy ERPs). Deliver Value‐Based Technical Messaging: Fluent in both "API" and "ROI," you will translate working prototypes into solid business cases. Help ...

activation, and operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table ...

Vector Resourcing Ltd. is representing a rapidly growing client in Nottingham seeking their first dedicated Data & Analytics hire to build the function and shape the Group’s data strategy. The role will be roughly 60 ...

wider data and AI strategy. The role offers a genuine combination of Data Engineering and Data Analysis, with key technologies including Azure Data Factory, Snowflake, SQL Server and Tableau. This is an excellent opportunity for someone who wants genuine ownership and influence within a small IT & Data function, rather than … Experience: 3 years' relevant experience across Data Engineering, Data Analysis or a combination of both. Strong commercial experience with Azure Data Factory – essential. Strong Snowflake experience – essential. Strong SQL and SQL Server skills. Strong experience building, managing and improving data pipelines. Experience working with large, complex datasets. Experience with Tableau ...

600+ data, engineering, and AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners including Databricks, Snowflake, AWS, Microsoft, Google Cloud, Anthropic, and OpenAI to deliver transformative data and AI solutions that drive measurable business impact. Overview We're seeking an experienced … Proven experience with one or more major cloud platforms including AWS, Azure, or Google Cloud Platform. Proven commercial experience with Databricks and/or Snowflake, including the design, implementation, and optimization of data platforms at scale Strong SQL expertise and software engineering experience using Python and/or other modern ...

consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time … data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in‐memory (Redis ...

build modern machine learning and AI data services to support analytics and improve products across the business. You’ll work with Databricks or Snowflake on AWS, develop pipelines and maintain data quality while collaborating in agile squads and supporting GenAI infrastructure and workflows. #J-18808-Ljbffr ...

align data strategy with objectives. The role combines hands-on delivery with leadership, focusing on cloud platforms (AWS/Azure/Databricks/Snowflake), data governance, and real-time data processing to enable #J-18808-Ljbffr ...

McKesson is seeking a Senior Data Engineer to own the ClarusONE data platform, delivering robust data pipelines using Snowflake, dbt, Airflow, and Databricks. You will set engineering standards, patterns, and governance while collaborating with Analytics, Data Insights, Software Engineering, and IT to scale the platform. This hands-on role requires ...