51 to 75 of 100 Snowflake Jobs in the Thames Valley

Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. Whats in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income protection More ❯

technologies that we utilise are: C# .Net Web Services SQL Server (Including T-SQL) Angular (with Typescript) RabbitMQ/Kafka Various Azure Features (App Services, VMs, Config etc...) Git Snowflake Nuget (Producing and Consuming)Azure DevOps (CI) Prometheus & Grafana (Monitoring & Alerting) ELK Stack/Azure Log Analytics (Logging) We are also in the middle of a transformational migration to Azure. More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data …/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain … DBT projects. Required Qualifications: 5+ years of experience in data engineering or a related field. Strong hands-on experience with DBT (modular SQL development, testing, documentation). Proficiency in Snowflake (data warehousing, performance tuning, security). Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages. Solid understanding of data modeling concepts (star/snowflake schemas More ❯

developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: Establish and lead the Snowflake Centre of Excellence. Develop Snowflake … IP, including best practices, accelerators, frameworks, and reference architectures. Provide technical assurance and leadership across delivery projects. Support pre-sales activities, thought leadership, and client advisory. Explore Snowflake’s app development and integrations to power new business offerings. Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: Extensive hands-on experience designing and delivering Snowflake solutions, including … Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data More ❯

the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver … platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration More ❯

storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul the … including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins More ❯

collaboration with internal development teams to ensure stability and performance of critical business systems. Key Skills Provide user support, monitor system performance, and ensure smooth application operations. Experience in Snowflake, Power Platform and Azure integration Triage, investigate, and resolve technical issues related to in-house and third-party applications, integrations, and data feeds. Proficiency in Excel or SQL for data More ❯

Senior Snowflake Developer Location: Hybrid – London - 2 days per week increasing in the New Year Day Rate - Inside around £500/day Starting ASAP for 6 months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. … As part of this initiative, you’ll play a key role in developing and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll … Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements More ❯

embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/… Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension More ❯

and executing Pipelines Excellent Azure DevOps tooling capability Excellent communication skills and stakeholder engagement Nice to have: Immediate availability Previous Insurance/Financial Services industry experience Working knowledge of Snowflake Familiar with Security and Data Protection DBA Automation task experience Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary More ❯

transformation. Requirements: Technical Proficiency: Deep understanding of Microsoft Power Platform ecosystem. Skilled in leveraging cloud technologies such as Azure for infrastructure and data solutions, with hands-on experience in Snowflake, and QlikSense for modern analytics and data transformation. Leadership Capabilities: Demonstrated success in leading multidisciplinary IT teams, fostering collaboration across technical and business functions. Adept at managing relationships with stakeholders More ❯

The ability to break down complex problems and dive deep into overlooked issues Proficiency in SQL and experience querying and transforming large datasets (billions of rows) using tools like Snowflake Expertise in BI tools such as Tableau or Looker, with a knack for creating highly accessible and digestible visualisations and dashboards What’s on offer: Competitive salary and generous stock More ❯

engineering, analytics, and business domains to design scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge … Partner with cross-functional teams to deliver insights and recommendations that drive business outcomes. Key Skills: Strong proficiency in SQL for data transformation and analytics. Hands-on experience with Snowflake , dbt , Data Modelling , and Data Vault methodologies. Solid understanding of data warehousing concepts and version control (GitHub) . Experience with cloud platforms (AWS or Azure) and scripting in Python . More ❯

boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and … modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire More ❯

research, data, and operations. Develop scalable data flows and microservices that connect critical systems. Own architectural decisions around reliability, scalability and cloud infrastructure . Work hands-on with Python, Snowflake, Kubernetes, Docker, and Dash . Partner closely with quantitative analysts and business teams to deliver real-world solutions. What We’re Looking For Proven experience in Python engineering (backend, APIs More ❯

system Experience working with Linux (navigating/commands etc), Windows, Docker, AWS Bash/Python scripting experience Automation/CI/CD: Git, TeamCity, Ansible Database technologies - SQL Server & Snowflake (advantageous) This is a fantastic opportunity to join a highly respected hedge fund. You will be expected to be onsite 4 days a week and the role will pay up More ❯

Data Engineering Director, Practice Lead, London, £160k-£200k base dependant on experience, Consulting experience is needed, Snowflake, Databricks, GCP Lead the next generation of data innovation. We are exclusively seeking a Data Engineering Director to build and lead a high-performing data practice in London. This is a unique opportunity to shape a growing team, define strategy, and drive transformative … You Bring 10+ years of experience in data and technology consulting 8+ years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability … to balance technical depth and business insight Passion for developing people, processes, and scalable solutions Preferred Qualifications Certifications in AWS, Databricks, or Snowflake Additional language skills (French, German, or Spanish) Experience shaping or scaling high-growth teams Why Join You’ll be part of a dynamic environment that values innovation, collaboration, and impact. Here, you’ll have the freedom to More ❯

CD). Have a proven track record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with … internal and external sources. Manage and optimize data workflows on AWS, including containerized environments using Docker. Ingest, transform, and serve large-scale financial datasets across asset classes using Python, Snowflake, and NoSQL databases (e.g., MongoDB). Ensure data quality, integrity, and availability across the front office stack. More ❯

platforms, excellent SQL skills, and the ability to collaborate with multiple stakeholders to ensure smooth data integration and delivery. As a secondary skill, experience with Fivetran, SSIS, ADF or Snowflake will be considered a strong plus. Your role In the role of a Data Integration Lead , you will drive the design, implementation, and optimization of enterprise-grade data integration solutions … to both on-prem and cloud environments. Develop and optimize SQL queries for data validation, transformation, and integration. Data Engineering capabilities using any of the ETL in Fivetran/Snowflake/ADF/SSIS (any one) Troubleshoot and resolve issues related to data ingestion and streaming performance. Serve as the go-to expert for all Kafka and Confluent-related queries … environments (on-prem & cloud). Excellent problem-solving, communication, and stakeholder management skills. Familiarity with event-driven architecture and streaming best practices. Preferred Experience with Fivetran, SSIS, ADF or Snowflake technologies. Knowledge of ETL processes, data warehousing, and cloud data platforms. Exposure to Azure for cloud-based data solutions. Personal Besides the professional qualifications of the candidates, we place great More ❯

Lead Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting … data rows per second . What You’ll Do Design, build, and maintain data ingestion pipelines (APIs, CSVs, high-frequency loads). Automate data ingestion and processing workflows with Snowflake and modern orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such … the company’s global expansion by enabling scalable data systems across regions. What We’re Looking For Strong experience in data engineering and architecture roles. Deep knowledge of SQL, Snowflake (or similar DWHs), and Python . Proven track record of building robust, automated ETL/ELT pipelines . Familiarity with distributed systems and handling large-scale data (millions of rows More ❯

event models, and canonical data models for customer 360. Define integration patterns: API-first approaches, event streaming (Kafka, Pub/Sub), batch ETL/ELT, and data warehouse connectors (Snowflake, BigQuery). Specify security, compliance, and privacy controls (PII handling, encryption, consent propagation). Develop migration strategies and cutover plans for legacy-to-cloud re-platforms, including rollback procedures and … AEP/AEM, Braze, SFMC, Tealium, Segment, or mParticle). Deep understanding of cloud platforms (AWS/GCP/Azure), streaming technologies (Kafka, Pub/Sub), and data warehouses (Snowflake, BigQuery). Proficiency in SQL, a scripting language (Python/Node.js), and familiarity with infrastructure-as-code (Terraform/CloudFormation). Strong understanding of identity resolution, consent management, and enterprise More ❯