1 to 25 of 100 Snowflake Jobs in the Thames Valley

Snowflake DBA - Database Administration, Snowflake Admin £Market Rate (Inside IR35) London/Hybrid 6 months We are currently working with a client who urgently require a Snowflake DBA/Snowflake Administrator with Snowflake expertise as well as excellent Database, DevOps and Automation processes. Key Requirements: Proven expertise in Snowflake Database Administration Solid understanding of Snowflake Administration/Snowflake Networking/… Snowflake Identity processes/Snowflake AI (Cortex)/Snowflake Container Services Strong understanding of Databases Excellent command of Development and Automation Strong working knowledge of Azure-based Data Platforms Familiar with Security and Data Protection Excellent communication skills and stakeholder engagement Nice to have: Immediate availability Awareness of operational challenges Good awareness of the DevOps approach Hays Specialist Recruitment Limited More ❯

Snowflake Engineer - Database, Automation, DevOps £Market Rate (Inside IR35) London/Hybrid 6 months We are currently working with a client who urgently require a Snowflake Engineer with Snowflake expertise as well as excellent Database, DevOps and Automation processes. Key Requirements: · Proven expertise in Snowflake Engineering (can be as a DBA/Consultant/DevOps Engineer) · Strong understanding of Databases … based Data Platforms · Familiar with Security and Data Protection · Good awareness of the DevOps approach · Excellent communication skills and stakeholder engagement Nice to have: · Immediate availability · Solid understanding of Snowflake Administration/Snowflake Networking/Snowflake Identity processes/Snowflake AI (Cortex)/Snowflake Container Services · Awareness of operational challenges If you're interested in this role, click 'apply now 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 ❯

Snowflake Data Engineer Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Transform lives through data and AI Who we are: We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional … including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI. The Role: We are seeking … a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our More ❯

and ability to work with both technical and non-technical stakeholders. Nice to Have: • Experience in energy or financial trading environments. • Familiarity with cloud-based data platforms (e.g. Databricks, Snowflake). • Knowledge of data governance, lineage, and metadata management. • Exposure to data cataloguing tools and data quality frameworks. More ❯

tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer 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 ❯

a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to More ❯

Scala/Java) and SQL Deep experience with data pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity with machine learning pipelines or AI model 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 ❯

frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver More ❯

ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project More ❯

implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable More ❯

pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in More ❯

culture of innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights 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 ❯

management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver More ❯

Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other More ❯

development and orchestration tools Deep understanding of data engineering best practices (version control, testing, governance) Experience with cloud platforms (AWS, GCP, or Azure) and modern data warehouses (e.g. BigQuery, Snowflake) 🎯 What You Get £85,000–£105,000 pro rata (based on experience) Up to 10% annual bonus Hybrid working – 2 days/week on-site near Kings Cross The chance More ❯

Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics, etc. (Preferred but not mandatory) Understanding of SaaS, iPaaS, and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake, Azure Data Platform, etc. (Preferred but not mandatory) Experience in Designing Solutions, Requirements Gathering, Team Leadership, Training & Development, Technical Document Preparation, and Object Oriented Analysis. Experience in engineering and software 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 ❯

Data Engineer (Azure, Snowflake, DBT) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced Data Engineer to join a major insurance client engagement. The role focuses on building out a Snowflake Data Warehouse established last year and scaling it to support multiple new data use cases … Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) Role Overview You’ll be working within a growing data engineering function, focused on scaling a Snowflake + DBT platform to support multiple analytical and operational use cases. The team is looking for an experienced engineer with strong technical depth and an insurance background, capable of owning … and extending core pipelines across the Azure and Snowflake stack. Key Skills & Experience Strong hands-on experience with Snowflake Cloud Data Warehouse (schemas, RBAC, performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline 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 ❯