251 to 275 of 452 Permanent Snowflake Jobs

Where Data Does More. Join the Snowflake team. Build the future of data. Join the Snowflake team. Our Data Analytics Organization is looking for a Senior Principle to join Snowflake's Go-To-Market (GTM) Analytics team for Marketing Intelligence. In this role, you will play a critical part in driving data-driven decision-making by providing insights on our … marketing ROI (return on investment) to dynamically optimize our marketing programs. Our marketing intelligence mission is to build scalable solutions and models to enable Snowflake marketing to become the industry's most insights-driven team. We are looking for talented candidates who can push the boundaries of our existing ecosystem and help us to design new state-of-the-art … with a team of high-performing analysts and data science professionals to identify business opportunities, and solutions to address them Conduct rigorous analysis focused on solving business problems with Snowflake Think creatively, proactively, and futuristically to identify new opportunities within Snowflake's long term roadmap for business intelligence Act as "customer zero" for Snowflake so we can continue to evolve More ❯

Where Data Does More. Join the Snowflake team. Running Snowflake in public sectors in different countries and regions, even in different industry verticals, requires us to build a compliant, secure, and auditable infrastructure. Many key design decisions are deeply rooted in the Snowflake product architecture. As a Forward Deployed Software Engineer, you will be responsible for leading several key areas … in-depth knowledge base on cloud infrastructure, privacy, and governance, compliance controls, data security and data residency in various aspects of Snowflake. AS A FORWARD DEPLOYED SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Solve real business needs at large scale by applying your software engineering and analytical problem solving skills. Design, implement and maintain scalable distributed systems for our cloud automation … Work directly with customers to quickly understand their critical problems and design and implement solutions Deploy and maintain availability of cloud compute servers and Kubernetes cluster that power the Snowflake platform in sensitive (sometimes air-gapped) production environments Implement software delivery pipelines that support continuous delivery and automatic compliance in sensitive runtime environments. Ensure operational readiness of the services and More ❯

Data Engineer | Bristol/Hybrid | £65,000 - £80,000 | AWS | Snowflake | Glue | Redshift | Athena | S3 | Lambda | Pyspark | Python | SQL | Kafka | Amazon Web Services | Do you want to work on projects that actually help people? Or maybe you want to work on a modern AWS stack I am currently supporting a brilliant company in Bristol who build software which genuinely helps … name a couple of standout benefits.Would you be interested in finding out more? If so apply to the role or send your CV to Sponsorship isn’t available. AWS | Snowflake | Glue | Redshift | Athena | S3 | Lambda | Pyspark | Python | SQL | Kafka | Amazon Web Services More ❯

to insight, with real business impact. Your Day-to-Day: Own the full data lifecycle. You’ll ingest, stage, and transform raw data (including CRA & Open Banking) into structured Snowflake tables. Build and improve BI suites. Create self-service dashboards and models that support teams across credit, marketing, and digital. Drive reporting excellence. Build reporting tools that are insightful, scalable … the data stack as the business scales. What You'll Bring: Solid SQL and a strong understanding of data principles Experience with ETL pipelines, ideally in a cloud environment (Snowflake preferred, but not required) Ability to build strategic BI reporting tools and communicate insights to non-technical stakeholders Familiarity with CRA data, Open Banking, or financial services data Benefits Fully More ❯

to insight, with real business impact. Your Day-to-Day: Own the full data lifecycle. You’ll ingest, stage, and transform raw data (including CRA & Open Banking) into structured Snowflake tables. Build and improve BI suites. Create self-service dashboards and models that support teams across credit, marketing, and digital. Drive reporting excellence. Build reporting tools that are insightful, scalable … the data stack as the business scales. What You'll Bring: Solid SQL and a strong understanding of data principles Experience with ETL pipelines, ideally in a cloud environment (Snowflake preferred, but not required) Ability to build strategic BI reporting tools and communicate insights to non-technical stakeholders Familiarity with CRA data, Open Banking, or financial services data Benefits Fully More ❯

data/development teams and designing and maintaining data infrastructure, pipelines, and automation frameworks. You should also have experience streamlining data workflows using tools like Airflow, DBT, Databricks, and Snowflake while maintaining data integrity, security, and performance. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Minimum of 3 years of experience in … DataOps or similar. Proficiency in key technologies, including Airflow, Snowflake, and SageMaker. Certifications in AWS/Snowflake/other technologies a plus. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and manage multiple priorities effectively. What's in it for you? We offer our employees more than just competitive compensation. Our team benefits include: Competitive More ❯

in a Senior Data Engineering role. Comfortable owning and delivering technical projects end-to-end. Strong in Python, SQL, and cloud platforms (AWS or comparable). Experience with Airflow, Snowflake, Docker (or similar). Familiarity with coaching and mentoring more junior engineers, leading 1-1s and check ins. Wider tech stack : AWS, Python, Airflow, Fivetran, Snowflake, Looker, Docker. What More ❯

Head of Data and Analytics Machine Learning, AI, Python, Business Inteligence, Power BI, Snowflake Opportunity to join a Not-for-Profit organisation who are creating a new Data Division. Currently Data Analysis is reactive. Move towards a proactice data department with the remit to create value from the unique data points this organisation is generating. Responsible for strategic growth, data More ❯

a Data Analyst or Business Intelligence role. Experience in financial services or fintech preferred. Strong SQL and experience with Python, R or similar. Familiarity with data lakes/warehouses (Snowflake, Databricks). If you meet the above criteria and are looking for your next challenge, we’d love to hear from you – apply now More ❯

a Data Analyst or Business Intelligence role. Experience in financial services or fintech preferred. Strong SQL and experience with Python, R or similar. Familiarity with data lakes/warehouses (Snowflake, Databricks). If you meet the above criteria and are looking for your next challenge, we’d love to hear from you – apply now More ❯

Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications … Science, Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change More ❯

Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications … Science, Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change More ❯

Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications … Science, Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change More ❯

Engineer, or similar role Strong hands-on experience with Azure cloud services Proficiency in Terraform for infrastructure automation Solid understanding of Data Warehouses and supporting technologies (e.g., Azure Synapse, Snowflake, BigQuery, or similar) Familiarity with CI/CD tools and practices Strong scripting skills (e.g., PowerShell, Python, Bash) Good understanding of networking, security, and compliance within cloud environments More ❯

design and lead implementation of enterprise-grade ETL and data pipeline solutions) Taking ownership of the data warehouse and related infrastructure Experience working with cloud platforms (such as BigQuery, Snowflake, Azure) Embedding data governance strategies InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably More ❯

development best practices Desirable Experience with any of the following: SQL Server, PostgreSQL, NoSQL database technologies Familiarity developing and maintaining data warehouses/lakes using big data solutions (e.g. Snowflake, Databricks) Benefits Market-leading base + bonuses Meritocratic work culture and superb chance to work with the best engineers Direct business impact, little to no 'red tape' Contact If you More ❯

or service providers Ability to prioritise diverse, complex requirements Technical expertise in: T-SQL Power BI Microsoft SSIS Microsoft SSRS Distributed source control systems (Git, Mercurial, etc.) Experience with Snowflake is desirable but not essential Understanding of insurance terminology (Rullion is a recruitment agency) Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and More ❯

major public cloud providers (AWS, Google Cloud Platform, Azure) Experience in containerization technologies and container orchestration ( Kubernetes , OpenShift, Docker, Mesos, etc.) Experience with different distributed technologies (e.g. Spark, S3, Snowflake, DynamoDB, CockroachDB, HDFS, Hive, etc.) Experienced with Java/Go/Python/Scala/other languages Proficiency in English Team Data Reply, as part of the Reply Group, offers More ❯

major public cloud providers (AWS, Google Cloud Platform, Azure) Experience in containerization technologies and container orchestration ( Kubernetes , OpenShift, Docker, Mesos, etc.) Experience with different distributed technologies (e.g. Spark, S3, Snowflake, DynamoDB, CockroachDB, HDFS, Hive, etc.) Experienced with Java/Go/Python/Scala/other languages Proficiency in English Team Data Reply, as part of the Reply Group, offers More ❯

leading and management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity More ❯

leading and management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity More ❯

and Firestore). Configuration of cloud infrastructure (e.g., with Terraform). Messaging services (e.g., Kafka, Pub/Sub). NoSQL (e.g., MongoDB and Firestore). SQL querying (e.g., BigQuery, Snowflake), including the ability to work with complex data structures and very large data volumes. Orchestration services (e.g., Airflow, Luigi, Cloud Compose). Proactive, independent, responsible and attentive to detail. Eager More ❯

triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow/ADF Optional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or More ❯

mindset Experience of running 1-2-1 meetings and yearly reviews with team members Strong background in hands on software engineering role (e.g., .NET engineer) Experience with MS SQL, Snowflake or equivalent SQL database technology Experience in Continuous Delivery (CI/CD) best practices Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature tests) Experience in More ❯

workshops and producing executive-level outputs. Ability to work independently and navigate ambiguity. Familiarity with AI-driven approaches to enhance reporting and insight generation. Desirable: Experience with Power BI, Snowflake, or similar reporting platforms. Understanding of scalable data architecture and the full data lifecycle. Knowledge of investment performance and distribution metrics. Due to the urgent nature of this role, candidates More ❯