651 to 675 of 822 Permanent Snowflake Jobs

. We’re using Typescript top to bottom , and Apollo GraphQL sits in the middle. We keep our data in DynamoDB , Postgres , and Snowflake , using one or the other as best suits a particular workload. While we’re looking for talented and driven individuals our desire is to build ...

platform. You’ll combine hands‐on engineering with technical leadership, helping define how data is ingested, transformed, governed and made accessible across the business. Snowflake is at the heart of the platform, alongside a growing ecosystem of modern data technologies. The Role Designing and delivering scalable data platform solutions using … Snowflake and complementary technologies. Building and optimising end‐to‐end ELT/data pipelines, with a focus on performance, reliability and maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure ...

models across multiple products. Strong grounding in Lakehouse architecture trade-offs: table formats, query engines, ingestion patterns (Iceberg vs Delta; Dremio vs Trino vs Snowflake; streaming vs batch). Hands-on experience with: Dremio, Snowflake, or Databricks AWS data services (S3, Glue, Athena, Lake Formation, or equivalent) NATS/Apache ...

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 ...

after‐hours work What you’ll be doing You will help design, build and maintain our data platform as we continue our journey onto Snowflake, working across clearly defined data domains while contributing to shared platform components. Key responsibilities include: Building and maintaining reliable data pipelines using Snowflake and Azure … within your working week. What you’ll bring Essential: 3+ years’ experience as a Data Engineer Strong SQL development skills Hands‐on experience with Snowflake Experience working in Azure Experience designing and maintaining production data pipelines Desirable: Experience in regulated or data‐sensitive environments (e.g. healthcare, finance) Familiarity with data ...

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 … stress testing. Key ResponsibilitiesBuild and enhance scalable data pipelines and infrastructureDevelop Python ETL/ELT pipelines and complex SQL modelsDesign and optimise Snowflake data solutionsIntegrate and manage large-scale financial and historical dataIdentify and resolve data quality and data integrity issuesWork closely with Data, Quant, Market Data and Risk teamsEnsure ...

Principal Data Engineer you are the primary technical authority for Funding Circle's Data Engineering and Data Platform architecture, designing innovative solutions on Snowflake and AWS. Reporting to the VP of Data and sitting on the Data Leadership Team, you lead the analysis, architecture, design and development of our Data … Future State Data Platform. Own the Data Platform strategy and execute the multi-phased roadmap for migrating to the Future State Data Platform on Snowflake and AWS, advising on migration architecture, transition states, historical data migration and legacy decommissioning. Lead the architecture, design and development of scalable cloud data warehouse ...

services requirements and support modern cloud-based solutions. You will contribute to the standardization and continuous improvement of data support processes across Azure, Databricks, Snowflake, Denodo, and Power BI platforms within Parexel. Team Leadership and People Management Lead, manage, and develop a team of L2 data support specialists, providing clear … adherence to IT procedures, quality standards, and data governance requirements. Evaluate and recommend tooling or process improvements to enhance support capability across Azure, Databricks, Snowflake, Denodo, and Power BI environments. Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field (or equivalent work experience ...

Design data pipelines, ETL/ELT processes, ingestion frameworks and integration patterns across enterprise systems Define and implement BI and Agentic BI architectures using Snowflake Cortex, Snowpark, AWS Bedrock, SageMaker and LLM technologies Develop architecture patterns for Retrieval Augmented Generation (RAG), vector search, semantic layers, knowledge graphs and enterprise … value. You’ll also have: Extensive experience designing enterprise data platforms, data warehouses, data lakes, data mesh or lakehouse architectures Hands-on experience with Snowflake, AWS data services, Python, Spark and data engineering frameworks Strong understanding of Generative AI, Large Language Models (LLMs), Agentic AI, intelligent automation and AI-powered ...

reports. Provide training and support to Tableau users. Support and collaborate with 3rd party developers to ensure a successful migration from AWS Athena to Snowflake whilst representing the businesses needs. What we’re looking for Deep Expertise in SQL with experience working with modern Data Warehouses (Snowflake, Redshift, BigQuery). ...

Principal Data Engineer you are the primary technical authority for Funding Circle's Data Engineering and Data Platform architecture, designing innovative solutions on Snowflake and AWS. Reporting to the VP of Data and sitting on the Data Leadership Team, you lead the analysis, architecture, design and development of our Data … Future State Data Platform. Own the Data Platform strategy and execute the multi-phased roadmap for migrating to the Future State Data Platform on Snowflake and AWS, advising on migration architecture, transition states, historical data migration and legacy decommissioning. Lead the architecture, design and development of scalable cloud data warehouse ...

reports. Provide training and support to Tableau users. Support and collaborate with 3rd party developers to ensure a successful migration from AWS Athena to Snowflake whilst representing the businesses needs. What we’re looking for Deep Expertise in SQL with experience working with modern Data Warehouses (Snowflake, Redshift, BigQuery). ...

technologies as we evolve the platform. 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 ...

intelligent, scalable solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWSArchitect and implement data platforms using Snowflake for analytics and reporting, ensuring seamless integration with broader enterprise data ecosystemsBuild and maintain real-time event streaming architectures (e.g., Kafka, Azure Event Hubs … built, tested, and deployedHands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelinesProficiency with Snowflake for data warehousing, analytics, and building scalable data platformsExperience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event HubsStrong ...

pipelines, develop production-ready models, create intuitive dashboards, and help support strong data governance, privacy, and compliance. Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM) you will integrate diverse data, run experiments tied to key performance indicators, and deliver actionable insights. This program offers hands-on experience, mentorship … prompt engineering, with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understanddata management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Applystrong quantitative and analytical problem-solving ...

have strong SQL and data-modellingexpertiseand experience with modern transformation tools such asdbt. You have experience working with cloud data platforms such as Snowflake,BigQueryor Databricks. You have defined technical roadmaps and delivered measurable business outcomes. You can build trust and influence both technical and business stakeholders. You understand modern … such as Airflow,DagsterorFivetran. Python experience for automation or data engineering tasks. Experience working in regulated financial services or another highly data-driven organisation. Snowflake experience, given its introduction at Zopa. #LI-AP1 At Zopa we value flexible ways of working. We value face-to-face collaboration and a good ...

Management: Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into … Logistics Execution. Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures). Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery). Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments. We are a recognised Disability Confident member ...

Product Data Analyst £50,000-£60,000 Sheffield (1 day a week in office) If you're passionate about turning complex data into actionable business insights, this is an opportunity to make a tangible impact ...

Capgemini UK is seeking a Senior Data Engineer to join a highly skilled data team in the UK. You will design, develop and enhance scalable ETL/ELT data pipelines, leveraging cloud platforms such as ...

Agency: Credera Job Function: Consulting Job Subfunction: Technology Consulting Job Description: Would you like to be part of a growing engineering capability in a people-centric organisation? Or perhaps work in an open and collaborative ...

Formal training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong ...

exciting opportunity to lead the design and evolution of Elsevier’s Operational Data Platform. You will work alongside an embedded engineering team to architect Snowflake-based data warehouse solutions and related systems, develop AI-enabled capabilities, and work with engineering, data, and business stakeholders to deliver secure, scalable, and compliant … data platform capabilities that support strategic business outcomes. **Responsibilities*** Lead the architecture and design of Snowflake-based data warehouse solutions and dependent systems* Develop next-generation platform capabilities, including real-time ingestion, AI-driven insights and API-led integration* Design data structures and interfaces that enable natural-language querying ...

Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating … fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Lead Developer Advocate ...

Global Snowflake Platform Lead Location: Egham (Hybrid - 2/3 days per week) Salary: £90,000-£95,000 + Benefits and Bonus Permanent A Global Snowflake Platform Lead is required to join a leading international organisation that is continuing to develop and scale its global data platform. This … exciting opportunity to take ownership of a strategic Snowflake environment already adopted across multiple countries, combining hands-on technical delivery with platform leadership, stakeholder management and third-party vendor management. Working across a global data and technology function, you'll help evolve the Snowflake platform, support further international rollouts ...