1 to 25 of 76 Permanent Snowflake Jobs in the City of London

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 ❯

orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform Lead | Data Transformation | Financial Institution | International Data Team | Data Platform Architecture Deerfoot Recruitment Solutions More ❯

automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/ More ❯

in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with More ❯

levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating a More ❯

levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating a More ❯

work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step More ❯

work available - City of London office/Home As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of data architecture as we move from Redshift to Snowflake. Hands-on experience with AWS services such as Glue (Spark), Lambda, Step More ❯

financial markets meet cutting-edge technology. Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines for market, trading, and client data. Work with technologies such as ClickHouse, Snowflake, Postgres, and Kafka to manage large volumes of financial data efficiently. Collaborate closely with Quant Analysts, Traders, and Risk Managers to deliver clean, structured datasets for modeling, monitoring, and reporting. More ❯

financial markets meet cutting-edge technology. Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines for market, trading, and client data. Work with technologies such as ClickHouse, Snowflake, Postgres, and Kafka to manage large volumes of financial data efficiently. Collaborate closely with Quant Analysts, Traders, and Risk Managers to deliver clean, structured datasets for modeling, monitoring, and reporting. More ❯

strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc, Informatica More ❯

strategies, guiding delivery teams, and acting as a trusted advisor to CDOs, CIOs, and Heads of Data. 🔑 What You’ll Do Lead enterprise solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc, Informatica More ❯

data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience operating in More ❯

You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching CRM More ❯

You’ll Bring Must-Have Skills 5+ years in Sales Ops/Rev Ops roles Proficient in SQL and Python (Pandas, PySpark) Strong experience with cloud data platforms (Databricks, Snowflake, GCP) Background in building ETL/ELT solutions and data modelling Advanced Excel/Power BI/VBA skills 2+ years’ experience with Salesforce (essential) Preferred Skills Experience launching CRM More ❯

a small, high-performing team. What We're Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and 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 ❯

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 ❯

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 ❯

in building, maintaining, and scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment. Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on … data engineers, data scientists, and business stakeholders. Familiarity with cloud-based data ecosystems such as AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data … modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. Proficient in analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Deep experience with modern ELT workflows and transformation tools (e.g., dbt, custom SQL models, etc). Strong ability to debug and optimize slow or failing data More ❯

in building, maintaining, and scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment. Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on … data engineers, data scientists, and business stakeholders. Familiarity with cloud-based data ecosystems such as AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data … modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. Proficient in analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Deep experience with modern ELT workflows and transformation tools (e.g., dbt, custom SQL models, etc). Strong ability to debug and optimize slow or failing data More ❯

4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid working. More ❯

oriented programming. Strong SQL and relational database skills. Familiarity with modern DevOps practices, including Docker and cloud-native deployments. Experience in Linux and Windows environments. Exposure to AWS and Snowflake is highly desirable. Excellent problem-solving skills, intellectual curiosity, and the ability to communicate across technical and non-technical teams. Prior experience in trading or financial markets is a plus More ❯

oriented programming. Strong SQL and relational database skills. Familiarity with modern DevOps practices, including Docker and cloud-native deployments. Experience in Linux and Windows environments. Exposure to AWS and Snowflake is highly desirable. Excellent problem-solving skills, intellectual curiosity, and the ability to communicate across technical and non-technical teams. Prior experience in trading or financial markets is a plus More ❯