1 to 25 of 36 Permanent Snowflake Jobs in the North West

tools and data modelling techniques. Strong SQL skills and experience with data cloud tech like Snowflake. Ability to use Azure DevOps to create, test, and deploy data pipelines and Snowflake configurations, ensuring efficient and reliable delivery of data solutions. Experience building and managing CI/CD pipelines, source control (Git), and automated testing/deployment for data engineering workflows. Knowledge More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

testing including unit, performance, stress, and security testing.Experience working in an agile team.Experience working in a highly regulated industry and with highly sensitive data.Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.Experience in data science using R, Stata, or Python.Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.Understanding of clinical trials, GCP, and GxP.What More ❯

performance, stress, and security testing. Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials More ❯

performance, stress, and security testing. Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials More ❯

performance, stress, and security testing. Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

Visualise insights via tools like Power BI or Tableau Support integration testing and third-party specifications What you'll bring: Strong background in data architecture and cloud platforms (e.g. Snowflake, Databricks) Cloud experience with AWS, Azure or GCP Excellent SQL and data modelling skills (data lakes, warehousing, OLTP/OLAP) Experience with access control, data migration and data governance Proficient More ❯

consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of More ❯

queries, alongside the ability to upskill team members through peer review, training, and best practice development. Data Infrastructure: A solid understanding of cloud-based data warehousing (e.g., Azure, Fabric, Snowflake, Redshift, BigQuery) and ETL processes. Analytical Prowess: Exceptional analytical and problem-solving skills, with the ability to translate complex data into clear, actionable business insights. Demonstrated proficiency in Python/ More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting how our employees are at the very heart of Version More ❯

setting using Bicep.- Understanding of DevOps practices.- Skill in database testing; unit, performance, stress, security.- Experience in agile teams and highly regulated industries.- Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.- Data science experience using R, Stata, or Python.- Familiarity with Atlassian tools; JIRA, Confluence, BitBucket.- Understanding of clinical trials, GCP, and GxP.Personal Attributes More ❯

of course versed in SQL and its use in data pipelines. You have recent experience building, deploying, and running data pipelines or insights tooling on cloud services (AWS, Azure, Snowflake, Databricks) You're used to working in an agile, cross-functional team with industry-standard practices You're used to producing repeatable, automated tests for your own work You love More ❯

techniques, fairness audits, and bias mitigation Familiarity with intelligent automation or RPA platforms Cloud platform experience (AWS, Azure, or GCP) and managed AI/ML services Data platform experience (Snowflake, Dagster) Experience collaborating with Data Analytics and Data Scientists to translate exploratory analysis and models into production-ready AI/ML solutions Experience leveraging and fine-tuning third-party or More ❯

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 ❯

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 ❯

to analyse, synthesise and translate complex issues. Tools & frameworks : In-depth understanding of Agile delivery and familiarity with data visualization tools such as PowerBI to support strategic decision-making. Snowflake experience preferred. How we look after our employees Our brand new "PXC Flex" benefit launched in January 2025, which includes Flex30, an additional 30 hours of leave every year for More ❯

taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. More ❯

results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing More ❯

results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing More ❯

such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯

enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting how our employees are at the very heart of Version More ❯