15 of 15 Snowflake Jobs in Newport

bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

analytics platforms (Tableau, Power BI, Looker) to inform product decisions. About You Experienced Product Owner with strong exposure to data products and platforms. Delivery experience with enterprise data warehouses (Snowflake, BigQuery), lakes, and CDPs. Understanding of data pipelines, contracts, lineage, APIs, and data governance frameworks. Comfortable navigating GDPR, CCPA and other compliance requirements. Familiar with dbt, Airflow, and cloud platforms More ❯

Social network you want to login/join with: Overview: An exciting opportunity has arisen for a SQL Database Administrator to join one of the world’s leading transportation manufacturers who specialise in providing safety and securement solutions for mobility More ❯

will be from data engineers, governance and risk analysts through to our CFO to deliver actionable reporting. This would primarily service the finance team working with tools including DBT, Snowflake, PowerBI and no doubt a little Excel too. You will also act as an analytics champion - working with the wider analyst community to enable and upskill them to deliver insights … business action the better. An experienced SQL user - We need you to know how to build efficient joins, aggregations, and know your views from your tables. You’ll use Snowflake here but all SQL backgrounds are welcome. If you are already familiar with DBT that’s great too, but not essential – the more exposure you’ve had to it the More ❯

teams of data engineers. This high impact role will have an opportunity to lead a team to build our enterprise data solutions and work with emerging technologies such as Snowflake, Azure Data Lake/Azure Data Factory, DBT and more. This leader will be an expert at developing, implementing, and operating stable, scalable, low-cost enterprise data solutions. WHAT YOU … Intelligence, Analytics). 2-3 years of experience managing data engineering teams and/or leading Agile scrum teams in development. 3+ years of experience with Modern Data Architecture (Snowflake, Azure Data Lakes, DBT, FiveTran, etc.). Strong experience leading technical discussions, conducting code reviews, and contributing to solution designs/architecture. Proficient experience in Data engineering and data modeling More ❯

of £85,000 + a 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 for this role you will … Experience designing, improving and maintaining 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 Data Factory and Azure DevOps More ❯

of £85,000 + a 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 for this role you will … Experience designing, improving and maintaining 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 Data Factory and Azure DevOps More ❯

tools that serve major UK 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 integration of APIs, external systems … in everything from modelling and 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-technical teams Proven ability to More ❯

NBA, Formula 1, and Olympic 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 CI/CD, TDD, and More ❯

in data architecture , including data 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 its impact on deliverables. Familiarity More ❯

assist with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: 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 would be offering Free Certification More ❯

logic Exceptional time management skills 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 tools like Tableau and Power More ❯

and build the capabilities that 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 the Group Data & Analytics Director … manager for each area, who’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 to the COO and leadership More ❯

to support development and testing. Oversee testing of major features to ensure quality and customer alignment. The Candidate: Knowledge of data warehousing, code-driven pipelines, and visualization tools (e.g., Snowflake, Tableau, Power BI, Looker). Familiarity with Agile methods and tools like Jira, Confluence, or Azure DevOps. Experience gathering user feedback and making data-driven improvements. The Package: Private medical More ❯

testing. Oversee testing of major features to ensure quality and customer alignment. The Candidate: Experience developing SaaS products. Knowledge of data warehousing, code-driven pipelines, and visualization tools (e.g., Snowflake, Tableau, Power BI, Looker). Familiarity with Agile methods and tools like Jira, Confluence, or Azure DevOps Experience gathering user feedback and making data-driven improvements. The Package: 25 days More ❯