19 of 19 Snowflake Jobs in Wolverhampton

Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based More ❯

data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn quickly and able to work More ❯

total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache More ❯

events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (MUST have experience in Snowflake and BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including More ❯

required: Yes col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Data Analytics Senior Sales Consultant – Data Analytics, snowflake, talend, databricks, salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS More ❯

modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing More ❯

to join their team and assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Uncapped More ❯

these initiatives. The ideal candidate would have over 10 years of experience in Data Engineering/Architecture and possess strong knowledge in: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return, they More ❯

record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. #J-18808-Ljbffr More ❯

Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and resolve performance More ❯

skills Bachelor’s degree in Data Science, Statistics, Mathematics, or related discipline Proactive, collaborative mindset with a continuous improvement ethos Familiarity with tools like Snowflake, SharePoint, and AWS (desirable) What’s In It For You? 25 Days Holiday + Bank Holidays + Holiday Buy Scheme Annual bonus 20% discount on More ❯

and the ability to juggle multiple priorities You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting More ❯

technical and non-technical stakeholders with confidence. A hands-on, delivery-focused approach – this role is about getting things done. Experience with AZURE, AWS, Snowflake, or legacy data warehouse platforms. Knowledge of data governance or architecture principles. We are looking to move quickly on this one. Please send your profile More ❯

Social network you want to login/join with: col-narrow-left Client: Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Overview: An exciting More ❯

strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered … robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure More ❯

end data engineering function – overseeing architecture, platform operations, integration strategy, and team leadership. You’ll shape the roadmap for data engineering initiatives across Azure, Snowflake, Kafka, and modern Lakehouse architectures, ensuring resilience, scalability, governance, and performance. Key Responsibilities: Lead the Data Engineering Function : Define and implement the data engineering strategy … across the enterprise. Platform Ownership : Own the full lifecycle of the data platform – ingestion, storage, transformation, governance, and access – with a focus on Azure, Snowflake, Kafka, and Data Lakes. Strategic Leadership : Shape the vision and roadmap for the data engineering function in line with business objectives, regulatory requirements, and technological … Proven experience as a Head of Data Engineering , Principal Data Engineer , or Lead Data Architect , managing large-scale data platform initiatives. Expertise in Azure , Snowflake , Kafka , and Data Lake technologies, with a strong grasp of modern architectural patterns (Lakehouse, Lambda, Kappa). Strong knowledge of data governance , security , and regulatory More ❯

day you’ll be designing and maintaining high-quality, analysis-ready datasets that support CRM, product, and marketing teams in making informed decisions. Using Snowflake alongside tools like dbt and SQL , you’ll model data to enable segmentation, performance tracking, and personalised marketing. You will have the opportunity to work … around privacy, compliance, and governance. What You’ll Bring 3+ years working in data, analytics, or martech-adjacent engineering roles Strong skills in SQL , Snowflake , and data transformation/modelling tools (e.g. dbt) Experience integrating data from Google Analytics and HubSpot Familiarity with CDPs or event tracking platforms such as More ❯

brands and internal teams alike. What you’ll be doing: Lead the design and build of secure, scalable data pipelines using Azure Data Factory , Snowflake , and DBT Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact Optimise performance, enforce governance, and ensure seamless … scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non More ❯

will define the data-driven future of a business with a 300-year heritage. With a clear plan and the technology in place (InvestCloud, Snowflake, Alteryx, and Power BI) it’s the ideal setting to show how your data leadership skills can transform business performance and client outcomes. Reporting to … ll look to you for direction and coaching. Leading on data engineering to ensure high-quality, accessible data; designing and protecting data pipelines (e.g. Snowflake). Implementing data governance frameworks, ensuring regulatory and security compliance; embedding the principles across the business, and managing emerging risks. Providing strategic insight and recommendations More ❯