176 to 200 of 471 Snowflake Jobs in the UK

Snowflake Developer - Manchester | £70,000 + Benefits | Hybrid (3 Days On-Site) | Permanent Sector: Consulting | End Client: Leading Banking Group A leading consulting firm is hiring a Snowflake Developer to work on high-impact projects within the banking sector. You'll join a collaborative data team, delivering cloud-based solutions for a major financial services client. Location: Manchester (3 days … on-site) Salary: Up to £70,000 + excellent benefits Type: Permanent Key Responsibilities Build and maintain Snowflake-based data platforms. Collaborate with product owners and stakeholders to gather requirements and deliver scalable solutions. Ensure best practices in data modelling, governance, and architecture are applied across projects. Essential Skills Strong knowledge of cloud computing and Snowflake architecture. Proficient in SQL … ANSI-SQL). Solid experience with data models: Dimensional, ER, and Data Vault. Strong working knowledge of Snowflake internals (roles, dynamic tables, streams, tasks, policies). Hands-on experience with Python, GitLab, and Snowpark container services. Exposure to data science, machine learning, data governance, and data management. Proven track record in data-centric project delivery. Confident stakeholder management and communication More ❯

In order to be considered for this role you will need to have - Experience with data management and data architectures (SQL/NoSQL), database systems, modern data warehouse platforms (Snowflake, Databricks, BigQuery), ETL/ELT pipeline development, and data lake/warehouse implementations for integrating structured and unstructured laboratory and sequencing data sources. Master Full-Stack technologies, such as Python More ❯

In order to be considered for this role you will need to have - • Experience with data management and data architectures (SQL/NoSQL), database systems, modern data warehouse platforms (Snowflake, Databricks, BigQuery), ETL/ELT pipeline development, and data lake/warehouse implementations for integrating structured and unstructured laboratory and sequencing data sources. • Master Full-Stack technologies, such as Python More ❯

architecture/modeling. Expertise in modeling techniques (3NF, Dimensional, Vault 2.0). Proficient in tools like Erwin, Lucidchart, and PowerDesigner. Skilled in SQL, Python, and real-time systems (e.g., Snowflake, AWS). Familiar with data governance and security standards (e.g., GDPR). Strong communication and stakeholder management skills. Preferred: Cloud certifications (AWS, etc.). Experience with API data modeling, CI More ❯

You'll Bring: Proven experience delivering advanced analytics and data warehousing solutions. Expertise in cloud data platforms such as Azure , AWS , or GCP . Strong hands-on experience with Snowflake and Matillion . Deep understanding of dimensional modelling and data vault architecture . Exceptional collaboration skills with the ability to influence and guide stakeholders. A proactive mindset with a passion More ❯

time/streaming data solutions Proficiency in Python, SQL, and data modelling tools (e.g. Erwin, Lucidchart) Strong knowledge of AWS services (Lambda, SNS, S3, EKS, API Gateway) Familiarity with Snowflake, Spark, Airflow, DBT, and data governance frameworks Preferred: Certifications in cloud/data technologies Experience with API/interface modelling and CI/CD (e.g. GitHub Actions) Knowledge of Atlan More ❯

offerings. Representing the business at client meetings, industry events, and marketing initiatives. What You'll Need to Succeed: Strong expertise in cloud analytics, data warehousing, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders. Consulting experience, with a track record of delivering successful, high-impact data projects. Leadership and More ❯

visualisation (Tableau/Looker) YOUR SKILLS AND EXPERIENCE The successful candidate will likely have: 4+ years in product analytics, ideally in a high-growth digital environment Hands-on SQL (Snowflake preferred) with experience analysing large datasets Strong communication skills-comfortable translating data to action Proven impact on product development through analytics and experimentation Experience with BI tools like Tableau or More ❯

We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive More ❯

and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex technical concepts to non-technical More ❯

differences between S/4HANA and ECC in the FI/CO module functionalities. Experience and knowledge of Analytics tools and Data Warehouses like PowerBI, Qlik, Azure Data Lake, Snowflake, SAP B4H, SAP Analytics Cloud etc. Bachelor’s or master’s degree in finance or accounting or accounting qualifiction Desirable Skills Experience or knowledge in FP&A tools like Hyperion More ❯

. You'll ideally have experience with most of the following: Commercial experience developing in Qlik (ideally with Sense Cloud) , including scripting and dashboard design Hands on experience with Snowflake Experience with QlikView is beneficial but not essential Proficiency in SQL and working with relational databases Experience designing and implementing ETL processes Understanding of data warehousing and building data lakehouses More ❯

. You'll ideally have experience with most of the following: Commercial experience developing in Qlik (ideally with Sense Cloud) , including scripting and dashboard design Hands on experience with Snowflake Experience with QlikView is beneficial but not essential Proficiency in SQL and working with relational databases Experience designing and implementing ETL processes Understanding of data warehousing and building data lakehouses More ❯

drive business outcomes. What you'll bring Experience designing solutions in complex environments, ideally within financial services. Strength in one or more of the following: Data platforms such as Snowflake, Databricks, Azure Fabric, Power BI. Platform engineering and shared services enablement. Familiarity with Microsoft technologies, especially Azure and .NET. A curious mindset and a passion for applying emerging tech to More ❯

to work on multiple projects simultaneously Strong interpersonal and communication skills Quick, self-learning capabilities and creativity in problem-solving Preferred: Familiarity with Python Familiarity with Airflow, ETL tools, Snowflake and MSSQL Hands-on with VCS (Git) Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf More ❯

Youll Be Doing Lead and deliver compelling pitches of Direct Data solutions to existing clients and prospects Consult with clients on available data & integration options, including delivery channels (APIs, Snowflake, etc.) and data integration aspects (CRM platforms, Power BI, Tableau, etc.) Participate in strategic client discussions regarding data & integration options in the context of AI & CRM initiatives Train and enable More ❯

using XML/XSLT. Ability to engage with external clients and manage expectations. Proven ability to independently manage integration projects. We'd love to see: Experience with data analytics. Snowflake, PowerBI, Qlik Skills in using WebAPI tools, e.g., Postman. AWS and Azure foundational certified. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not More ❯

with the ability to pivot strategies in response to innovative technologies, insights, or regulatory developments. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Snowflake, Spark). Strong communication skills, with the ability to distill complex data concepts into clear messages for non-technical stakeholders. Excellent stakeholder management and cross-functional collaboration skills, with the More ❯

Experience with middleware tools like Tray, Zapier, Make, n8n, and SuperBlocks, and extensive experience with rETL platforms and architecture (Polytomic, Hightouch, RudderStack, etc.) Familiarity with data warehouse platforms like Snowflake, BigQuery, DataBricks, etc. Bonus If You: Experience with other types of data storage ranging cache tools like Redis to S3 Built systems integrating data from a variety of tools and More ❯

Problem Solving, Analytical, Collaboration and Decision Making Skills. Proactively identify issues, root cause analysis and implement both temporary and permanent solutions Automation Expérience Excellent Communication Skills Understanding of AKS, Snowflake, No sql db (Cosmos), Understanding of Azure ecosystem, Databricks, Unix, Git bash commands, ADO (Azure Devops) - deployment pipelines Good to have skills Workingknowledge of infrastructure components (e.g. routers, load balancers More ❯

internal tools Strong understanding of data lifecycle management: ingestion, transformation, modelling, governance, and analytics enablement Experience working with modern data infrastructure and tooling (e.g. Airflow, Azure Data Factory, Databricks, Snowflake, DBT, Redshift) Able to navigate technical discussions with engineers and translate them into clear requirements for delivery Familiar with data quality and monitoring practices, data observability, schema standardization, and documentation More ❯

annual training and professional development budget for books, courses and conferences. You'll also get access to resources from a range of our partners such as AWS, Microsoft, Okta, Snowflake and Salesforce, including training platforms, partner portals, online courses and real-life practice. We also offer a range of lunch and learn sessions; engineering festivals and tech community meet ups More ❯

will possess the following: Experience with data modelling tools and techniques (eg, ER/Studio, ERwin, UML, etc.). Proficiency in SQL/Python and data manipulation. Knowledge of Snowflake & Azure Understanding of data architecture principles and data governance. Good understanding of database management, design best practices and enterprise-level data architecture. Ability to communicate complex technical ideas clearly to More ❯

risk and control analysis, solution design, AI governance, and end-to-end implementation management. • Assist clients in executing their AI & Data strategy through deployment of modern Data platforms like Snowflake, Databricks, and Microsoft Fabric. • Develop and implement data management artifacts by establishing data governance requirements including data lineage discovery, data quality control design and measurement solutions and data privacy related More ❯