1 to 25 of 109 Permanent Snowflake Jobs in the UK excluding London

analytics teams with reliable, well-modelled data Maintain documentation, contribute to architectural decisions, and drive best practices Essential Requirements: Strong SQL skills and experience with modern cloud data warehouses (Snowflake preferred) ELT pipeline development and modern data stack understanding Solid software engineering practices (Git, testing, CI/CD) Own pipeline health, monitoring, and optimisations. API integration experience (REST APIs, webhooks More ❯

modelling. · Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile. · Proficiency in both SQL and NOSQL database management systems (e.g. SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks). · Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques. · Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud More ❯

monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would like More ❯

and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. More ❯

stakeholder engagement - able to translate technical progress into business outcomes. Strategic thinker with a delivery mindset and the ability to influence at senior levels. Nice-to-haves: Experience with Snowflake or hybrid multi-cloud data solutions. Familiarity with banking or financial data frameworks such as BCBS239 or IRB. Background in agile delivery and infrastructure automation using Terraform or similar. Package More ❯

on colleagues for guidance. Strong SQL skills and understanding of data models and data principles. Experience with mobile-responsive dashboards and self-service analytics. Desirable Experience with cloud platforms (Snowflake, Azure, BigQuery). Python skills. Experience in agile delivery environments. Understanding of GDPR and data governance. BI tool certifications. The BI team has historically been highly technical; you will bring More ❯

on colleagues for guidance. Strong SQL skills and understanding of data models and data principles. Experience with mobile-responsive dashboards and self-service analytics. Desirable Experience with cloud platforms (Snowflake, Azure, BigQuery). Python skills. Experience in agile delivery environments. Understanding of GDPR and data governance. BI tool certifications. The BI team has historically been highly technical; you will bring More ❯

SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus. Excellent problem-solving skills, eagerness to learn, and ability to work in fast-paced, evolving environments. Strong written and verbal communication skills, with the ability More ❯

techniques. Familiarity with SSIS, SSMS, and reporting tools such as Power BI or equivalent platforms. Experience working with cloud and on-premise databases, including solutions like Google Cloud Platform, Snowflake, Databricks, or Amazon Redshift. A meticulous attention to detail and a logical, structured approach to work. The ability to prioritise effectively and manage multiple tasks under time pressure. Strong communication More ❯

management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling Exposure to the modern data stack tools (e.g. Snowflake, Databricks). Experience managing P&L, setting go-to-market strategy or building consulting practices. Exposure to behavioural data sources (eg Google or Adobe analytics). Benefits Benefits At Interpath More ❯

into SQL, Python, and occasionally Groovy. Strong foundations in Object-Oriented Design, SOLID principles, and CI/CD are essential. As we transition significant portions of our architecture to Snowflake, your expertise in SQL will be critical. This is an opportunity to influence the future of our data platform while setting engineering standards others aspire to. Role Responsibilities Design, develop More ❯

You may be a great fit if you have experience with any of the following... Workflow orchestration tooling (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift) Data transformation tools (e.g. dbt) and data quality frameworks (e.g. Great Expectations) Backend Python frameworks (e.g. Django, FastAPI, Flask) for API development Modern data processing libraries (e.g. Polars, DuckDB More ❯

Snowflake Developer We're looking for a skilled and passionate Snowflake Developer to join our team in a permanent, full-time capacity. This is a hybrid role based in Manchester , requiring you to be in the office 3 days a week . About the Role Job Title: Snowflake Developer Location: ManchesterDuration: 4 Days a WeekJob Type: Permanent/FTE As … a Snowflake Developer, you'll be a key player in designing, developing, and maintaining our data solutions. You'll work with cutting-edge technologies, leveraging your expertise in Snowflake to build robust and scalable data pipelines and architectures. This role is perfect for someone who is a self-starter , a collaborator , and is eager to learn and adapt to new … technologies. We're seeking a positive , proactive , and pro-team individual who can manage relationships with stakeholders and product owners effectively. Key Responsibilities and Requirements Mandatory Skills Snowflake & ANSI-SQL: Possess a deep understanding of Snowflake's architecture and internals, including roles, dynamic tables, streams, and tasks. You'll need excellent skills in writing complex SQL queries. Data Modeling: Extensive More ❯

Snowflake Developer We're looking for a skilled and passionate Snowflake Developer to join our team in a permanent, full-time capacity. This is a hybrid role based in Manchester , requiring you to be in the office 3 days a week . About the Role Job Title: Snowflake Developer Location: Manchester Duration: 4 Days a Week Job Type: Permanent/… FTE As a Snowflake Developer, you'll be a key player in designing, developing, and maintaining our data solutions. You'll work with cutting-edge technologies, leveraging your expertise in Snowflake to build robust and scalable data pipelines and architectures. This role is perfect for someone who is a self-starter , a collaborator , and is eager to learn and adapt … to new technologies. We're seeking a positive , proactive , and pro-team individual who can manage relationships with stakeholders and product owners effectively. Key Responsibilities and Requirements Mandatory Skills Snowflake & ANSI-SQL: Possess a deep understanding of Snowflake's architecture and internals, including roles, dynamic tables, streams, and tasks. You'll need excellent skills in writing complex SQL queries. Data More ❯

able to work with different tools and technologies, depending on the client and project needs but will ideally possess strength in some or all of: MS Fabric stack Databricks Snowflake Azure/AWS SQL Tableau/Power BI A general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar More ❯

player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines More ❯

experience 5+ years Commercial tech sales support R&D IT OR Data & Informatics Data Modeling: Understand logical, physical, and conceptual data models. Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL databases (like Redshift and Databricks). Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions. Cloud Platforms: Experience with cloud providers mainly AWS especially their More ❯

team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯

source system connectors via Azure Data Factory. SQL and Python programming skills, along with a good understanding of Machine Learning techniques Experience using data platforms such as Databricks and Snowflake Experience of scripting languages such as Javascript, R, Powershell or VBScript In this role you will: Lead a team of analysts & engineers building and deploying innovative, scalable solutions for clients. More ❯

years in commercial analytics, ideally with marketing or customer analytics exposure. Strong SQL skills with experience in dbt or similar modelling frameworks. Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.). Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User Acquisition teams. Understanding of advertising platform constraints (Meta, Google, mobile tracking). More ❯

data quality, master data, reference data, metadata, retention, and ownership. Hands-on exposure to at least one modern data and analytics platform (e.g. Azure Data Platform, SQL Server, Oracle, Snowflake, SAP BW/HANA, or similar). Comfortable working with integration patterns (APIs, ETL/ELT, streaming) and collaborating closely with Integration Architects. Able to explain data concepts clearly to More ❯

internal teams. Develop agentic AI systems that automate complex workflows (e.g., pipeline forecasting, knowledge retrieval, reporting, customer engagement). Engineer data pipelines and integrations with enterprise SaaS platforms (Salesforce, Snowflake, Looker, Jira, Slack, etc.). Leverage GCP or AWS cloud infrastructure to deploy scalable, secure, and cost-efficient solutions. Partner with GTM stakeholders to identify and prioritize high-value problems More ❯

tick all of these areas: Knowledge and interest in financial services and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like More ❯

Exposure to DevOps practices and tools (CI/CD, automation). Familiarity with Data/ETL tools such Microsoft Azure and Microsoft Fabric. Knowledge of Cloud-native development: Azure, Snowflake, ADF (Azure Data Factory) and DBT (Data Build Tool) for modular SQL development. Autosys scheduling and Ab Initio for ETL and batch processing as well as Markit EDM. Understanding of More ❯

the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in financial services and/or risk data More ❯