1 to 25 of 280 Remote Permanent Snowflake Jobs

environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting, and BI tools such as Apache Superset More ❯

time streaming architectures, to support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

role. Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow. Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance More ❯

role. Experience using SQL and Python to effectively automate data pipelines and other tasks with tools such as dbt, airflow. Strong experience with data lakehouse architecture (e.g DataBricks,Redshift, Snowflake, BigQuery). Exposure to cloud services and their configuration (e.g AWS). Experience in building and documenting data architectures and ETL/ELT processes, with a strong emphasis on performance More ❯

s degree in Computer Science, Information Technology, or related field. Experience with the following: PowerBI Governance Framework PowerBI vendor and stakeholder management Ideally, you will also have: Experience with Snowflake, Tableau, and other BI tools is a plus. Knowledge of Specialty Insurance domain is advantageous. What we look for You are detail-oriented, proactive, and thrive in a fast-paced More ❯

teams to resolve them. Strong analytical mindset and attention to detail. Clear, concise communicator able to present technical findings simply. Desirable: Experience testing in big data environments using Databricks, Snowflake, or Redshift. Knowledge of data governance and lineage tracking tools. Exposure to data performance and load testing. Experience in an Agile delivery environment. More ❯

Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯

Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating More ❯

/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on key topics Previous experience with large, Enterprise scale Data More ❯

/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on key topics Previous experience with large, Enterprise scale Data More ❯

position management. Leverage AWS cloud technologies (including ECS, Lambda, S3, and CloudWatch) to deploy scalable, high-availability systems for data processing and analytics. Integrate and optimize data pipelines with Snowflake, enabling efficient access to large-scale market and transactional data. Build and deploy cloud-native systems that seamlessly integrate with front-office platforms—powering real-time analytics, visualization, and decision More ❯

position management. Leverage AWS cloud technologies (including ECS, Lambda, S3, and CloudWatch) to deploy scalable, high-availability systems for data processing and analytics. Integrate and optimize data pipelines with Snowflake, enabling efficient access to large-scale market and transactional data. Build and deploy cloud-native systems that seamlessly integrate with front-office platforms—powering real-time analytics, visualization, and decision More ❯

and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and month-end processing Communicate complex insights to technical and non-technical audiences Tech Stack: Snowflake Python Fivetran Azure/AWS Salesforce CRM (preferred) Ideal Candidate: 5+ years in BI, Data Analytics, or Data Engineering Experience supporting Ops and Customer Service teams Strong stakeholder communication and More ❯

Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You'll: Build and optimise ETL pipelines Enable analytics and reporting teams Drive automation and best practices Why Apply? Modern tech stack, fast More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

quality, governance, and compliance processes Skills & experience required • Proven background leading data engineering teams or projects in a technology-driven business • Expert knowledge of modern cloud data platforms (Databricks, Snowflake, ideally AWS) • Advanced Python programming skills and fluency with the wider Python data toolkit • Strong capability with SQL, Spark, Airflow, Terraform, and workflow orchestration tools • Solid understanding of CICD practices 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. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard More ❯

tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices. Data architecture principles; data warehouses (Snowflake preferred); and API integrations. Familiarity with: Machine learning and statistical modeling techniques. Project management tools and UAT processes. Other required skills: Excellent oral and written communication skills, including presentation, training More ❯

Snowflake Centre of Excellence Lead - London Who we are: We deliver powerful data and AI solutions that minimise operational cost, strengthen resilience against risk, and uncover revenue opportunity. Our clients can retain our people to drive lasting adoption while futureproofing their workforce with exceptional talent. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and … our wider technical delivery function, our sales team, and our partner management team with a particular focus on growing our relationship with Snowflake. Lead the establishment of Kubrick’s Snowflake Centre of Excellence, collaborating with Capability Leads to ensure the organisation maintains the expertise and experience needed across all core disciplines to deliver high-quality Snowflake solutions efficiently Take ownership … of developing Snowflake-focused intellectual property, including best practices, accelerators, reusable frameworks, and reference architectures Strengthen our Snowflake partnership by leveraging technical credibility to build trusted relationships with architecture and engineering stakeholders at Snowflake Provide technical assurance on delivery projects, ensuring that all solutions adhere to established Snowflake implementation best practices Contribute to pre-sales activities by shaping proposals, supporting More ❯

Snowflake Centre of Excellence Lead - London Who we are: We deliver powerful data and AI solutions that minimise operational cost, strengthen resilience against risk, and uncover revenue opportunity. Our clients can retain our people to drive lasting adoption while futureproofing their workforce with exceptional talent. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and … our wider technical delivery function, our sales team, and our partner management team with a particular focus on growing our relationship with Snowflake. Lead the establishment of Kubrick’s Snowflake Centre of Excellence, collaborating with Capability Leads to ensure the organisation maintains the expertise and experience needed across all core disciplines to deliver high-quality Snowflake solutions efficiently Take ownership … of developing Snowflake-focused intellectual property, including best practices, accelerators, reusable frameworks, and reference architectures Strengthen our Snowflake partnership by leveraging technical credibility to build trusted relationships with architecture and engineering stakeholders at Snowflake Provide technical assurance on delivery projects, ensuring that all solutions adhere to established Snowflake implementation best practices Contribute to pre-sales activities by shaping proposals, supporting More ❯