476 to 500 of 563 Remote Snowflake Jobs

least one programming language (e.g. Python), modern web/UI frameworks such as Streamlit or ReactJS, and at least one database platform such as Snowflake or PostgreSQL, they will join a squad designing, developing and supporting solutions that advance business capabilities in Investment Technology, applying AI-assisted tooling and techniques … related technical field - or equivalent practical experience. Good knowledge of Python and SQL. Working knowledge of at least one cloud data platform (e.g. Snowflake, PostgreSQL). Awareness of AWS cloud services (compute, storage, networking, security). Desirable Exposure to applying AI/ML techniques to business problems. Exposure to GenAI ...

knowledge sharing. Contribute to raising the overall quality, consistency, and maturity of the analytics engineering function. Support the optimisation and scalability of the Snowflake data platform, ensuring performance, security, and cost efficiency. Evaluate and introduce new tools and technologies that improve platform capability and engineering effectiveness. Drive adoption of standardised … expertise, including complex data modelling, transformation, and performance optimisation. Strong experience designing and maintaining scalable data models using dbt. Proven experience working with Snowflake and modern cloud-based data platforms. Deep understanding of analytics architecture, data governance, and scalable data design principles. Experience writing clean, efficient Python code for automation ...

MODERN TE Our Modern Tech Stack: Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset Other: Claude WHAT … LOOKING FOR Strong fundamentals and the ability to apply them pragmatically: Solid programming ability (Python or similar) Strong experience with Snowflake (or similar warehouses) Good understanding of software engineering patterns and architectures Experience building data-intensive systems Cloud experience (AWS preferred) Infrastructure as code (Terraform ideally) CI/CD best ...

Salesforce to ensure efficient & automated sales handoffs. Data Pipelines & Tracking Infrastructure Inbound & Paid Media Pipelines: Build and manage SQL-based data pipelines (BigQuery/Snowflake/dbt) and automated extracts connecting our MarTech - GA4, SEO/GEO data, and paid media platforms (LinkedIn, Google Ads, Meta) to the central data … HTML/CSS, JSON, REST/SOAP APIs, and webhooks for system integrations and custom development. Data Engineering & Analytics: Hands-on experience with BigQuery, Snowflake, or dbt to extract and transform data across Marketo, GA4, GTM, and paid media platforms (Google, LinkedIn, Meta). Applied AI Integration: Proven ability ...

based solutions for enterprise clients. This is an exciting opportunity for experienced Data Engineers to design scalable data pipelines and cloud data platforms using Snowflake, Databricks, and Azure Data Services. You will work on complex ETL/ELT workflows, optimize data models, governance, and data quality, and collaborate directly with ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data, Quant ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data, Quant ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. You’ll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data, Quant ...

purpose-driven organisation where you can take ownership of building and developing key data assets. You'll work with modern cloud technologies including Azure, Snowflake and Microsoft Fabric, whilst helping to shape the future of the company's data platform. THE COMPANY Our client is a well-established organisation undergoing … alongside an experienced team. THE ROLE Build and maintain data ingestion pipelines using Azure Data Factory (ADF) Develop and support data warehousing solutions within Snowflake Design and optimise dimensional data models for reporting and analytics Support the migration and development of solutions within Microsoft Fabric Work closely with analysts ...

Talenting Career Science is seeking a Snowflake Data Engineer for a fully remote position based in the UK. The role involves leading the design and implementation of data solutions on Snowflake for prestigious retail clients. Candidates should have proven experience in data engineering, strong SQL skills, and familiarity with cloud ...

understand business needs and translate ambiguous problems into clear, well-scoped requirements. Own the design of robust, scalable data models and exposures in dbt, Snowflake, and Looker — and set the patterns and conventions the wider team reuses. Make and document the architectural decisions and trade-offs that shape our data … models. Own quality, reliability, and stability across data models and pipelines. Create secure, efficient data shares for external partners (e.g. S3, SFTP, Snowflake Data Sharing). Drive the continuous improvement of our data platform, tooling, and ways of working — including how we use AI. Stakeholder Enablement & Technical Leadership ...

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 DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball … services businessAbility to use Docker and container orchestration toolsAWS cloud infrastructure including AWS CDKMS SQLNo SQL database such as MongoAI Tools such as CoPilot, Snowflake CortexAbout AJ BellAt AJ Bell, we believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want ...

areas below and working knowledge across the rest. AI platform & cloud architecture Architect AI andDataPlatforms using a mix of technologies including Databricks, Snowflake,Claude Enterpriseand the native services of Azure,AWSand GCP-selecting the right tool for the workload rather than defaulting to a single vendor. Design for scalability, security … including accountability for end-to-end solution design,resourcingand commercial outcomes. Proven ability to architect enterprise AI platforms across a mix of technologies (Databricks, Snowflake, Azure, AWS, GCP) withstrong designcapability across cloud,dataand AI domains. Working understanding of how AI integrates with major operational systems such as SAP,Salesforceand ServiceNow. ...

Data Platform Lead - Snowflake - London (Hybrid) - Up to £75,000 We're looking to on board an experienced Platform Lead to lead a modern data and integration platform within an enterprise environment. This position combines deep technical expertise with leadership responsibilities, reliability, governance, automation and a consistent motivation to improve … containerisation. Proven experience managing stakeholders and client experiences. Strong understanding of Agile environments. Hands-on experience using Azure, AWS or GCP. Strong experience in Snowflake and Confluent Kafka. Why Apply? Base salary of up to £120,000. Hybrid working arrangement. Opportunity to lead transformation initiatives at an enterprise-scale. Exposure ...

financial institutions. You’ll join a small, high‐impact data team as we modernise our estate from Python/MySQL into a Databricks + Snowflake ecosystem built for scale, auditability and reliability. The Role Build & optimise pipelines in Databricks, PySpark, Python, Kafka Modernise legacy systems into a scalable, auditable cloud … PySpark, SQL Experience building auditable, reproducible pipelines Solid data modelling + warehouse fundamentals Clean code, CI/CD, testing, observability Cloud data platform experience (Snowflake/AWS ideal) Hybrid set-up in Central London – 3 days on-site 3 stage process Senior Data Engineer – (London, Hybrid 3 days onsite ...

Consulting Limited is seeking a Snowflake Data Engineer to join their team in London. The role requires a minimum of 8 years of IT experience, with a strong focus on Snowflake, Python or Java, and a solid understanding of AWS services. This permanent, full-time position offers a hybrid working ...

Senior Data Analyst - London (Hybrid) - Tableau - SQL/Python - Snowflake - Azure - AWS - Up to £80,000 + Bonus Why Join? We're partnering with a highly successful and data-driven organisation that continues to invest heavily in its Data & Analytics function. With a modern technology stack, significant growth plans … deliver additional value to the business. Benefits Salary up to £80,000. Performance-related bonus. Flexible hybrid working arrangements. Modern technology environment including Snowflake, Azure, AWS and AI tooling. High-profile projects with strong business visibility. Collaborative and supportive team culture. Learning, development and career progression opportunities. Key Experience 5+ ...

data pipelines and integrations across a range of customer, CRM, marketing and behavioural data sources Own and develop cloud-based data infrastructure across GCP, Snowflake and client environments Design and implement data models, transformations and scalable warehouse solutions Deliver technical solutions for client data platform projects, including customer data platforms … production-grade engineering and integration work Strong SQL skills and experience building data pipelines and warehouse solutions Experience with cloud technologies, ideally GCP, Snowflake or similar environments Understanding of data modelling and modern data engineering best practices Experience deploying, testing and maintaining production systems Consultancy, agency, startup or client-facing ...

before moving into design and delivery. The tech stack recommendation is still open, with Databricks and Microsoft Fabric the likely direction and ADF or Snowflake as outside options. Azure is confirmed. Responsibilities Own the target data architecture, from conceptual through logical to physical design Lead the tech stack recommendation … integrator or large corporate background with strong client facing skills Desirable Microsoft certification, for example DP-600, DP-700 or AZ-305 Databricks certification Snowflake exposure Regulated or legislation driven programme experience Platforms that have scaled rapidly from launch TOGAF or similar Please apply with an up to date ...

move from experimentation into production. Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide. Our technology ecosystem includes Snowflake, Databricks, AWS, Microsoft Azure, Google Cloud, Okta, ServiceNow, Teradata, Alation, Atlan, and Starburst — connecting Immuta to the data, cloud, identity, and enterprise platforms powering modern data … best workplaces, and by Fast Company as one of the world's most innovative companies. Immuta has raised $263 million from investors including NightDragon, Snowflake, Databricks, ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures. We operate ...

engineering investments. - Responsible for the systems that ensure accurate, scalable, and efficient accounting across global operations. - Expanding into data analytics and pipeline initiatives using Snowflake, Redis, and Kafka to manage high-volume, real-time data. - Collaborates closely with Product, Operations, and other Engineering teams to deliver business-critical capabilities. - Agile … maintain microservices and event-driven systems to process and distribute large-scale financial data. - Develop data integration and pipeline components that connect systems across Snowflake, SQL Server, and real-time streaming platforms. - Implement and optimize Redis-based caching and data stores for low-latency access patterns. - Champion best practices ...

with stakeholders to understand business needs and translate them into clear, well-scoped requirements Build and maintain robust data models and exposures in dbt, Snowflake, and Looker — using AI-assisted development to move faster, spending less time hand-writing boilerplate and more time specifying intent, reviewing, and refining Read, debug … depend on our models Ensure quality, reliability, and stability across data models and pipelinesCreate secure, efficient data shares for external partners (e.g. S3, SFTP, Snowflake Data Sharing) Contribute to the continuous improvement of our data platform, tooling, and ways of working — including how we use AI in our workflows Stakeholder ...

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. Company Description Version 1 has celebrated 30 years in business and continues … 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 ...

solutions run across modern cloud and data ecosystems. Advise on AI patterns across Azure OpenAI, Microsoft Fabric, AWS Bedrock, GCP Vertex AI, Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and other relevant enterprise platforms. Understand the foundations required for safe and scalable AI delivery, including identity, permissions, environments, data lineage, observability … agents, workflow automation, prompt engineering, evaluation and AI solution design. Familiarity with platforms such as Azure OpenAI, Microsoft Fabric, AWS Bedrock, GCP Vertex AI, Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and related enterprise tooling. Understanding of the data foundations required for AI, including structured data, unstructured data, semantic layers, vector ...

Finance, and the Growth, Commercial, Operations and Product leads. Your work is what the board sees. Our current stack is Postgres replicated into Snowflake via Fivetran, dbt for transformation, Omni for modelling and dashboards, Amplitude for product analytics, and Statsig for experimentation, plus a growing set of bespoke dashboarding … attached to it. Confident SQL. Handed an unfamiliar schema, you can get to a defensible answer without help. Hands‐on with a modern warehouse (Snowflake, BigQuery, Redshift or similar) and a transformation layer (dbt or equivalent). You've written and maintained the models, not just commissioned them. Hands ...