126 to 150 of 222 Remote Snowflake Jobs

ideal customers and pursue the right companies. We're a team of second-time founders and have raised $5mm+ from top VCs and revenue leaders at Open AI, Slack, Snowflake, and MongoDB. Role - Sr. Engineer You're a well-versed "T-shaped" product engineer with a spike in backend engineering. You'll be working with the product and engineering team More ❯

Familiarity with major platforms like SAP S/4 ERP, Workday, Microsoft 365, ServiceNow, Salesforce . Strong understanding of integration technologies (e.g., Ab Initio, Mulesoft) and data architecture (e.g., Snowflake, Tableau, Microstrategy). Knowledge of cloud platforms (AWS, Azure, Google Cloud) and AI/ML enablement . Discretionary bonus opportunity Hybrid Working (within Flexmodes) Private Medical Insurance 25 days holiday More ❯

Role Summary Tasman is defining the future of Data Analytics-as-a-Service. We are a young and growing company funded fully by analytics & data science work for our ambitious clients. We are hiring a senior data engineer at Tasman More ❯

services platforms (e.g., payments, open banking, faster payments). Cloud-Native & Scalable Design: Expertise in architecting and deploying resilient, scalable solutions in cloud environments (AWS preferred), with exposure to Snowflake and other modern data platforms. Event-Driven & Service-Oriented Systems: Proven experience with event-driven architectures (Kafka) and microservices/service-oriented design, including system modelling, solution design, and governance. More ❯

and cloud consumption, working closely with Microsoft'sautonomous unit and internal teams across Compliance, Risk, and Delivery. Onthe AWS side, responsibilities include renewals and sourcing across keysuppliers like Datadog, Snowflake, and CloudWatch, as well as SaaS andL&P-focused procurement. This role currently has one direct report(expanding to two), sits within a global team of 30, and reports into More ❯

and cloud consumption, working closely with Microsoft'sautonomous unit and internal teams across Compliance, Risk, and Delivery. Onthe AWS side, responsibilities include renewals and sourcing across keysuppliers like Datadog, Snowflake, and CloudWatch, as well as SaaS andL&P-focused procurement. This role currently has one direct report(expanding to two), sits within a global team of 30, and reports into More ❯

Employer description: Matillion is a fast-growing, cloud-native data integration and transformation company, enabling businesses to build and scale data pipelines across platforms like Snowflake, BigQuery, Redshift, Databricks, and Synapse. With global offices we support leading brands like Cisco, Slack, and TUI in turning data into actionable insight. Recognized as a great place to work in both the UK More ❯

Science or equivalent. Demonstrated experience in data analysis (2+ years). Excellent verbal and written communication skills. Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD More ❯

things done. General technical knowledge of software development processes and systems (experience in designing and building payment systems is a significant advantage). Proficiency with BI tools (SQL, Looker, Snowflake, Datadog, Excel/Sheets) and excellent presentation skills. Prior experience in a fast-paced, product-driven tech company. Total Rewards Our workforce deserves fair and competitive pay that meets them More ❯

a Serverless Lambda backend on AWS . 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. You can learn more about our tech stack at While we're looking for talented and driven individuals our More ❯

Senior Data Analyst | Snowflake, SQL, Python | Salary up to c. £70k | Remote (UK) | Immediate Start Role: Senior Data Analyst Tech Stack: Snowflake, SQL, Python Location: Remote (UK) Start Date: Must be able to start immediatlely Salary: Up to c. £70k About The Role Our partner is looking for a Senior Data Analyst to transform data into action, using platforms like … Snowflake, SQL and Python alongside BI/dashboard tools. You will be a data-driven problem solver who thrives on turning complex information into clear insights and who can help shape the data strategy and empower decision-making across a high-growth, tech-driven organisation. This work presents an opportunity to grow your career while working on a variety of … real-world products. Responsibilities Analysing large datasets to extract meaningful insights and trends that guide strategic decisions. Optimising data queries and pipelines using SQL and Python within a Snowflake environment. Supporting the design, build and maintenance of dashboards and data visualisations to support key business functions. Collaborating with cross-functional teams to understand requirements and deliver actionable reporting solutions. Supporting More ❯

Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you More ❯

Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you More ❯

working with a London base (flexibility offered) High-impact role with a growing, values-driven data team Platform-focused, mission-led engineering Work with a modern cloud-native stack (Snowflake, DBT, Airflow, Terraform, AWS) What You'll Be Doing Serve as the technical lead for cross-functional data initiatives Define and champion best practices for building scalable, governed, high-quality … comfortable leading discussions with both technical and non-technical stakeholders A collaborative mindset and passion for coaching others Tech Environment Cloud : AWS (Kinesis, Lambda, S3, ECS, etc.) Data Warehouse : Snowflake Transformation & Orchestration : Python, DBT, Airflow IaC & DevOps : Terraform, GitHub Actions, Jenkins Monitoring & Governance : Monte Carlo, Collate Interested? If you're excited about platform-level ownership, technical influence, and building systems More ❯

across the enterprise, we are relied upon to ensure our systems are trusted, reliable and available.The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Astronomer/Airflow, Kubernetes , DBT, Tableau, Sisense , Collibra, and Kafka/Debezium . Our mission is to enable frictionless experiences for our AIS colleagues and customers so that they can … data governance by identifying capability gaps, implementing necessary tooling and processes, and promoting DataOps through leadership and user feedback initiatives. Requirements: Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja More ❯

A team to optimise performance our existing data models, making them more cost effective & run faster. Implement DBT best practices for modularity, reusability, and incremental builds to significantly reduce Snowflake compute and storage costs. Monitor data pipeline performance and identify areas for optimisation to ensure efficient data processing. Create New Scalable Data Models: Develop new, robust, and well-documented data … business areas, ensuring data consistency and reliability across the organisation. Work closely with analysts to understand their data needs and translate them into efficient data structures. Utilise DBT and Snowflake daily to create and maintain robust and scalable BI&A data models. Drive improvements in data processes to enable us to scale and automate tasks where possible Support AI Usage More ❯

role Demonstrated ability to operate confidently at Board and C-Suite level Background in Energy, Utilities, FTSE 100-scale enterprise, or Big 4 consultancy environments Strong knowledge of Azure, Snowflake , and enterprise data governance frameworks Available to start within 2 weeks Location: Warwick, UK (Hybrid – minimum 2 days on-site per week) Contract Details: Duration: 3 to 6 months Work More ❯

this kind of experience, but it would be a huge plus. There's a modern data tech stack in place and recent projects have included an Azure migration and Snowflake implementation. There are no plans to stop here and your ideas and strategies may well involve some new platforms to help you achieve your goals. It's a multi-faceted More ❯

this kind of experience, but it would be a huge plus. There's a modern data tech stack in place and recent projects have included an Azure migration and Snowflake implementation. There are no plans to stop here and your ideas and strategies may well involve some new platforms to help you achieve your goals. It's a multi-faceted More ❯

leadership across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability to engage exec-level audiences and cross-functional More ❯

leadership across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability to engage exec-level audiences and cross-functional More ❯

Experience Cloud, Data Hub , and NPSP . Understanding of architecture design in cloud environments, especially Azure . Exposure to integration tools such as Informatica IICS or data platforms like Snowflake . Previous experience in the not-for-profit or public sector. Application This is a fantastic opportunity to shape the future of a nationally respected organisation and play a key More ❯

Microsoft Defender suite, Microsoft Entra, Microsoft Purview and Azure security services (e.g. Key Vault, NSGs, WAF, etc.). Experience with Kubernetes (Azure Kubernetes Service) and data platforms (e.g. Databricks, Snowflake, Dagster). Proven understanding of security risk management. Excellent understanding of common security controls, in particular cloud security controls. Understanding of threat modelling. Knowledge of ISO 27001 and other commonly More ❯

and ability to work well cross functionally between partners, marketing, solution engineering and sales development. Experience developing relationships and working with a partner network throughout the sales cycle (particularly Snowflake and AWS). Own and execute a territory strategy, including identifying new accounts to target that are aligned to ICP. The ability to travel approximately 25-30% of the time More ❯

Data Engineer (AI-Driven SaaS plaform)(Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS)Large-scale data environmentUp to £70,000 plus benefitsFULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing environment? Do you … have a robust Infrastructure background and a good understanding of the different complexities that come when moving one system to another. Lets talk tech. The platform integrates Python and Snowflake and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have exposure with streaming platforms like Apache Kafka and be able to … develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice. Essentially, a strong Data Engineer who is a Snowflake enthusiast who can write solid SQL queries, within Snowflake! You will understanding Apache Kafka to a high standard and have solid knowledge of Apache Airflow - from a Cloud perspective, good AWS exposure. Naturally you More ❯