1 to 25 of 64 Remote Snowflake Jobs in Central London

4+ years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes More ❯

4+ years of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes 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 ❯

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 ❯

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 ❯

ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data Analyst role, please reply with your latest CV or send it More ❯

ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data Analyst role, please reply with your latest CV or send it 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 platformspowering real-time analytics, visualization, and decision-making. More ❯

building long-term client relationships is a must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. More ❯

across technical and non-technical teams BENEFITS Salary up to £80,000 Opportunity to shape a new analytics function and drive real business impact Work with modern cloud infrastructure (Snowflake, AWS, Power BI) Hybrid working – 3 days a week in central London More ❯

across technical and non-technical teams BENEFITS Salary up to 80,000 Opportunity to shape a new analytics function and drive real business impact Work with modern cloud infrastructure (Snowflake, AWS, Power BI) Hybrid working 3 days a week in central London More ❯

Pragmatic, hands-on builder: you ship fast and iterate, rather than waiting for perfect architecture ✨ Nice-to-Haves: Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting Familiarity with Snowflake or modern cloud data warehouses Awareness of LLM APIs, RAG concepts, or AI workflow orchestration Who You Are 🎯 Early-career to mid-career (2–6 years experience), eager for ownership More ❯

Pragmatic, hands-on builder: you ship fast and iterate, rather than waiting for perfect architecture ✨ Nice-to-Haves: Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting Familiarity with Snowflake or modern cloud data warehouses Awareness of LLM APIs, RAG concepts, or AI workflow orchestration Who You Are 🎯 Early-career to mid-career (2–6 years experience), eager for ownership More ❯

including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native More ❯

including strategy definition, vendor assessment, and governance adoption. Experience establishing reference data management and data quality practices at enterprise scale. Knowledge of analytical data architectures: data lakes, warehouses (e.g., Snowflake, BigQuery), BI/reporting, and ETL pipelines. Proficiency in public cloud platforms (AWS, Google Cloud Platform, Microsoft Azure). Experience with both transactional RDBMS and modern distributed/cloud-native More ❯

Management Desirable: Knowledge of front office platform and workflows: OMS, PMS and risk engines (note this client use Aladdin) Experience with ETF platforms and fund lifecycle processes Familiarity with Snowflake, Python and event driven architecture Exposure to regulatory reporting, ESG data pipelines or performance attribution systems Rate & Duration: Rate: £600 - £700 Per Day Location: London (Hybrid) Duration: 12 Months Software More ❯

Management Desirable: Knowledge of front office platform and workflows: OMS, PMS and risk engines (note this client use Aladdin) Experience with ETF platforms and fund lifecycle processes Familiarity with Snowflake, Python and event driven architecture Exposure to regulatory reporting, ESG data pipelines or performance attribution systems Rate & Duration: Rate: 600 - 700 Per Day Location: London (Hybrid) Duration: 12 Months Software More ❯

complex technical projects. Solid understanding of financial products and risk concepts. Technical & Professional Requirements Hands-on experience with Java and Oracle (current stack), and exposure to AWS, Python, and Snowflake (future stack). Proven ability to manage and mentor engineering teams. Strong background in risk technology or related domains (such as P&L or analytics). Compensation & Working Arrangements Base More ❯

complex technical projects. Solid understanding of financial products and risk concepts. Technical & Professional Requirements Hands-on experience with Java and Oracle (current stack), and exposure to AWS, Python, and Snowflake (future stack). Proven ability to manage and mentor engineering teams. Strong background in risk technology or related domains (such as P&L or analytics). Compensation & Working Arrangements Base More ❯

observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC – Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a More ❯

observer ability toolsets inc. Splunk, Datadog Experience using Github Actions Experience using AWS RDS/SQL based solutions Experience using containerization in AWS Working data warehouse knowledge Redshift and Snowflake preferred Working with IaC Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a More ❯

Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth — able to design experiments, measure impact, and translate numbers into More ❯

Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth able to design experiments, measure impact, and translate numbers into More ❯

Build and optimise ETL/ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or similar environments. Support internal projects focused on capability development, data tooling, and process improvement. Engage in stakeholder discussions to influence technical direction and project outcomes. What … 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently More ❯