1 to 25 of 29 Snowflake Jobs in Berkshire

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional … including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking … a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our More ❯

tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer More ❯

tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer More ❯

experience in data or analytics engineering, ideally within fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate technical detail into More ❯

culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights More ❯

Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other More ❯

Snowflake Centre of Excellence Lead - London Who we are: We deliver powerful data and AI solutions that minimise operational cost, strengthen resilience against risk, and uncover revenue opportunity. Our clients can retain our people to drive lasting adoption while futureproofing their workforce with exceptional talent. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and … our wider technical delivery function, our sales team, and our partner management team with a particular focus on growing our relationship with Snowflake. Lead the establishment of Kubrick’s Snowflake Centre of Excellence, collaborating with Capability Leads to ensure the organisation maintains the expertise and experience needed across all core disciplines to deliver high-quality Snowflake solutions efficiently Take ownership … of developing Snowflake-focused intellectual property, including best practices, accelerators, reusable frameworks, and reference architectures Strengthen our Snowflake partnership by leveraging technical credibility to build trusted relationships with architecture and engineering stakeholders at Snowflake Provide technical assurance on delivery projects, ensuring that all solutions adhere to established Snowflake implementation best practices Contribute to pre-sales activities by shaping proposals, supporting More ❯

Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics, etc. (Preferred but not mandatory) Understanding of SaaS, iPaaS, and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake, Azure Data Platform, etc. (Preferred but not mandatory) Experience in Designing Solutions, Requirements Gathering, Team Leadership, Training & Development, Technical Document Preparation, and Object Oriented Analysis. Experience in engineering and software More ❯

Pragmatic, hands-on builder: you ship fast and iterate, rather than waiting for perfect architecture ✨ Nice-to-Haves: Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting Familiarity with Snowflake or modern cloud data warehouses Awareness of LLM APIs, RAG concepts, or AI workflow orchestration Who You Are 🎯 Early-career to mid-career (2–6 years experience), eager for ownership More ❯

either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great package on More ❯

stakeholders across diverse functions. You'll be collaborative, proactive, and passionate about solving problems and driving innovation. Essential Skills & Experience: * 4+ years in data architecture, warehousing, and cloud platforms (Snowflake, Azure, Databricks)* Hands-on experience with Microsoft Power Platform, Power Automate, and Copilot Studio* Strong Power BI and SQL skills* Proven experience implementing automation at scale* Agile delivery experience* Desirable More ❯

data projects. What we’re looking for: Proven expertise in Tableau (development and design), with a strong portfolio or Tableau Public profile. Advanced SQL skills; hands-on experience with Snowflake and DBT is a plus. Experience working with large datasets and performing data profiling and cleansing. Familiarity with AWS (especially S3; Lambda less important), or similar cloud platforms. Experience with More ❯

data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure, mission-focused settings. Why Join? Work on meaningful security projects with real-world impact. Join a culture built on More ❯

an inclusive and collaborative culture, encouraging peer to peer feedback and evolving healthy, curious and humble teams. Tech Stack: Python, Javascript/Typescript, React/React Native, AWS, GraphQL, Snowflake, Airflow, DDD. This is an incredible opportunity for a Senior Software Engineer to join a unique company as they embark on a period of significant growth to take their fantastic More ❯

high-impact team working across industries to deliver complex data projects, develop new services, and drive technical excellence. The Opportunity We’re seeking a highly skilled Senior Data Engineer (Snowflake) to join this dynamic and growing team. This role offers the chance to lead data engineering delivery across a range of client projects, designing and optimising cloud-based data architectures … mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both technical problem … ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT workflows and More ❯

or Digital Experience domains. Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling More ❯

value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data …/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain … DBT projects. Required Qualifications: 5+ years of experience in data engineering or a related field. Strong hands-on experience with DBT (modular SQL development, testing, documentation). Proficiency in Snowflake (data warehousing, performance tuning, security). Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages. Solid understanding of data modeling concepts (star/snowflake schemas More ❯

developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: Establish and lead the Snowflake Centre of Excellence. Develop Snowflake … IP, including best practices, accelerators, frameworks, and reference architectures. Provide technical assurance and leadership across delivery projects. Support pre-sales activities, thought leadership, and client advisory. Explore Snowflake’s app development and integrations to power new business offerings. Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: Extensive hands-on experience designing and delivering Snowflake solutions, including … Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data More ❯

Senior Snowflake Developer Location: Hybrid – London - 2 days per week increasing in the New Year Day Rate - Inside around £500/day Starting ASAP for 6 months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. … As part of this initiative, you’ll play a key role in developing and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll … Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements 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 ❯

engineering, analytics, and business domains to design scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge … Partner with cross-functional teams to deliver insights and recommendations that drive business outcomes. Key Skills: Strong proficiency in SQL for data transformation and analytics. Hands-on experience with Snowflake , dbt , Data Modelling , and Data Vault methodologies. Solid understanding of data warehousing concepts and version control (GitHub) . Experience with cloud platforms (AWS or Azure) and scripting in Python . More ❯

ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp … including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins More ❯

About Lenstra Lenstra was created by the passion of engineers specialised in Computer Science with a proven history in delivering top quality solutions to its customers. Bringing together work excellence and vision we managed to serve top tier clients from More ❯

find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. The role: Are you ready More ❯

a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL … technical outputs to business goals Excellent communicator, proactive and adaptable to a fast-paced environment Comfortable working in a smaller, scaling data team Ideally some exposure to AWS/Snowflake/Power BI Why Join Work in a purpose-driven, sustainability-focused organisation Be part of a rapidly scaling team with genuine ownership and impact Shape data-driven decisions in More ❯