326 to 350 of 477 Snowflake Jobs

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 ❯

role, you will work collaboratively with our clients to enhance their ability to solve complex business problems by delivering engagements related to the deployment of Data Platforms such as Snowflake and Databricks. We provide expertise and delivery across two core areas: Data Architecture & Engineering - Focusing on next generation data platforms, architecture and implementation, making data available and trusted to deliver … practices. Support RFP responses as well as thought leadership articles that we issue to the market. Experience in Data Platform Technologies, including some of the following capabilities: Understanding of Snowflake/Databricks architecture, including basic data warehousing concepts and data sharing capabilities The ability to write SQL and/or Python queries for the purposes of transforming, joining and aggregating … data Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning models More ❯

technical development, leading the engineering team and also input into design and strategy decisions. Initially there will be a focus on GCP but will also involve working extensively with Snowflake and Databricks, as well as other modern cloud and data engineering tools. As the technical leader for the data engineering function, you will define architectural standards, mentor engineers, and collaborate … lake architectures Advanced proficiency in Python (including PySpark) and SQL, with experience building scalable data pipelines and analytics workflows Strong background in cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks) Demonstrated ability to lead teams, set technical direction, and collaborate effectively across business and technology functions Desirable skills Familiarity with machine learning pipelines and MLOps practices Additional experience with More ❯

powers our real-time and batch monitoring capabilities, including: A custom alerting and orchestration platform, built on Airflow, that enables scalable, auditable detection pipelines. Data pipelines in DBT and Snowflake that serve both ML models and rule-based logic. Backend services and APIs that handle case management, automated decisioning, merchant termination workflows, and integrations with adjacent platform services. We collaborate … our Airflow-based alerting platform, enabling analysts to deploy and manage DAGs safely and effectively. Contribute to the development and maintenance of DBT models and data pipelines integrated with Snowflake to support detection logic, ML models, and investigations. Integrate internal systems with third-party fraud and AML tools, as well as external APIs. Take ownership of features and services throughout 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 ❯

Location: London, UK Type: Contract Core Skills: Deep knowledge of modern data systems Data warehousing (classical and streaming) Data processing pipelines Python proficiency Experience with Databricks or equivalent (e.g., Snowflake) Avoid tool bias (e.g., Oracle not preferred) Profile: 15+ years of experience Strong communication and collaboration Strategic thinker who can dive into technical details Long-term commitment to architecture space 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 ❯

at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's 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 ❯

finance, and other related fields Nice to haves: Experience with and/or keen interest in cryptocurrency Experience in using data extraction and analysis tools (e.g. SQL, Tableau, SAS, Snowflake) Experience with or previous exposure to financial services regulators or Big 4 accounting firms Professional certifications (e.g. CAMS, CFCS, CFE, and CRCM) Job ID: P65968 Commitment to Equal Opportunity Coinbase More ❯

Senior Data Consultant (Snowflake/Matillion) Department: Data Engineering Employment Type: Full Time Location: Remote, UK Reporting To: Mark Todkill Compensation: £50,000 - £80,000/year Description We're looking for ambitious Senior Data Consultants to join our Delivery team; a thriving and fast-growing community of some of the industry's best cloud data engineers, ranging from interns … initiatives. Establishing thought leadership , writing blogs, publishing articles, and presenting at external events. What you'll need to succeed Expertise in data warehousing, cloud analytics, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders , providing strategic guidance and technical leadership. Strong consulting and client management experience , with a track More ❯

Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Good understanding of MLOPS Good More ❯

Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and … delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Good understanding of MLOPS Good More ❯

in a collaborative, fast-paced environment. What You'll Be Doing: Building and maintaining scalable data pipelines across Azure and GCP Working with tools such as Azure Data Factory, Snowflake, BigQuery, and Cloud Functions Supporting data warehousing and integration across diverse industry projects Collaborating with data professionals and contributing to cross-functional delivery teams Assisting in reporting and data visualisation … years of experience in a data engineering or similar role (graduates welcome) Proficiency in SQL and Python Exposure to any of the following: Azure Data Factory GCP BigQuery Snowflake Cloud Functions Strong communication and problem-solving skills Must be eligible for SC (Security Check) clearance (UK residency required) What's On Offer: £50,000 base salary Hybrid working (London office More ❯

training, while also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock … their teams. Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving … analytics Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements More ❯