1 to 25 of 33 Snowflake Jobs in Slough

/ERP systems (e.g., Salesforce, Netsuite, or similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

cloud platforms to support our work in architecting, building and maintaining the data infrastructure. The specific focus for this role will start with GCP however we require experience with Snowflake and Databricks also. As a senior member within the data engineering space, you will play a pivotal role in designing scalable data pipelines, optimising data workflows, and ensuring data availability More ❯

sets. - Excellent communication skills to collaborate effectively with cross-functional teams. - Ability to thrive in a fast-paced and rapidly evolving start-up environment. Skills: Data engineering Microsoft fabric (snowflake, databricks, considered) Power BI DAX API M Query Python SQL Data pipelines/dataflow gen2/pyspark notebooks Data modelling Benefits: - Mainly fully remote position, with the flexibility to work More ❯

data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience operating in More ❯

technical depth and client-facing credibility . Key Responsibilities: Lead the design and delivery of enterprise-scale data platforms using cloud technologies (Azure, AWS, GCP) and tools like Databricks, Snowflake, Synapse. Shape cloud migration and modernization strategies with a strong focus on DevOps practices. Architect scalable data models and robust ETL/ELT pipelines using industry-standard frameworks. Implement data More ❯

ThreatMetrix teams. Including Products, Engineering, Sales and other Professional Services colleagues around the world to continually redefine best practices Requirements Very good knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus More ❯

ThreatMetrix teams. Including Products, Engineering, Sales and other Professional Services colleagues around the world to continually redefine best practices Requirements Very good knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus More ❯

Client: Award Winning FinTech Firm Rate: Up to £675 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data into trusted, usable assets - the foundation More ❯

our strategy. Lead, inspire, and develop a high-performing team. Requirements Proven track record delivering data programmes in financial services/banking/insurance Deep knowledge of database technologies (Snowflake, Oracle, SQL Server, PostgreSQL). Strong grasp of software development, Agile, and best practices. Leadership skills to motivate teams and manage vendor relationships. Business acumen with the ability to align More ❯

languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical A nuanced understanding of code quality, maintainability More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

BI solutions (e.g., Power BI, Looker, Tableau, Datorama). Develop and maintain stakeholder dashboards that provide actionable insights. Write SQL queries to access and prepare data in BQ/Snowflake (with focus on GA4 data). (Nice to have) Experience with ContentSquare. Quality Assurance & Testing Carry out thorough end-to-end testing of dashboards to guarantee accuracy. Spot potential risks More ❯

foundations required for accurate reporting on Channel Performance. Key Tools and Technologies: Solid expertise in tools such as Google Tag Manager, Google Analytics (GA4), Segment/Server-Side Technologies, Snowflake and BigQuery. Tag Management: Familiarity with JavaScript and understanding of HTML/CSS for tag troubleshooting. Problem Solving: Strong problem-solving skills and attention to detail when validating data or More ❯

CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Responsibilities: Design, develop, and maintain robust and scalable ETL/ELT pipelines using Snowflake as the data warehouse. Implement data transformations and build analytical data models using dbt (data build tool). Develop and optimize complex SQL queries for data extraction, transformation, and loading … for data engineering processes, including version control with Git. Monitor data pipelines, troubleshoot issues, and optimize performance for efficiency and cost-effectiveness. Qualifications: Strong proficiency in SQL, particularly with Snowflake's features and functionalities. Extensive experience with dbt for data modeling, transformations, testing, and documentation. Solid experience with Apache Airflow for workflow orchestration and scheduling. Proficiency in Python for data More ❯

MS Fabric certification is mandatory Job Description: Microsoft Fabric Expertise: MANDATORY: Microsoft Fabric accreditation and certification Proven experience with Fabric implementations (not Snowflake, Databricks, or other platforms) Deep understanding of Fabric ecosystem components and best practices Experience with medallion architecture implementation in Fabric Technical Skills: PySpark: Advanced proficiency in PySpark for data processing Data Engineering: ETL/ELT pipeline development More ❯

and automating workflows. Partnering with performance marketing (Google, Meta, Snap) to deliver insights and campaign analysis. Designing and maintaining dashboards in ThoughtSpot (or similar). Writing SQL queries in Snowflake and working with DBT pipelines. Streamlining reporting processes and reducing reliance on spreadsheets. Presenting insights back to stakeholders in a clear, commercial way. Your Experience Strong SQL skills. Proven experience More ❯

scale, enterprise-grade data platforms from vision to execution. Proven experience within the Lloyd’s of London insurance market — essential. Deep experience with modern data tech stacks — e.g., Databricks, Snowflake, Azure, AWS, or GCP. The ability to influence and inspire senior stakeholders and globally distributed teams. Sounf good? Apply now More ❯

annual revenue generation and growth targets Required Education and/or Experience: Channel Development: 3-6 years’ experience building or managing formal partnerships Key partnership experience: AWS, Azure, GCP, Snowflake, Red Hat and other complimentary partnerships Business Process Skill: 3-6 years’ experience in working with Channel Partnership organizations and business process mapping across key business and industry segments. Sales More ❯

influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per 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 ❯

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 ❯

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 ❯

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 ❯

to join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business … experience required: Strong data visualisation using Power BI and coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯