1 to 25 of 39 DemandTrendPermanent Snowflake Jobs in the North West

at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's More ❯

Optimise data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Bachelor's degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python (or another scripting 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 ❯

Excellent analytical, problem-solving, and critical thinking skills. Proven ability to communicate technical findings to non-technical stakeholders. Preferred: Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake). Familiarity with A/B testing, forecasting, and predictive modelling techniques. Experience in eCommerce as well as Finance and Healthcare industries. This fantastic new role is to be based More ❯

in short-term lending or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro More ❯

in short-term lending or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro More ❯

at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured-in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand-including many of the world's 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 ❯

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 ❯

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 ❯

MuleSoft. Provide operational support for Power Platform (Power Automate, etc.) solutions. Deliver support across hybrid environments, including both Windows and Linux. Skills & Experience Hands-on support experience with databases (Snowflake preferred, but other databases also considered). Experience supporting APIs (MuleSoft advantageous). Familiarity with Microsoft Power Platform and Power Automate (support role, not development). Scripting experience with PowerShell More ❯