1 to 25 of 27 Snowflake Jobs in Central London

with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins, Azure DevOps, Terraform ...

complex, multi-stream programmes with cross-functional and vendor teams? • Stakeholder management? • Modern cloud and analytics platforms? • Tools such as Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python, SQL, and related stacks? • Agile, Waterfall, or hybrid delivery environments? Senior hires will also have experience leading multi-workstream programmes, managing large ...

Vertex AI) Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps ...

emerging data technologies, products and delivery approaches Familiarity with cloud platforms such as Azure, AWS or GCP, alongside technologies including Databricks, Snowflake, Power BI, Hadoop, SQL and Python Experience working with delivery methodologies including Agile, SAFe and Waterfall Strong proficiency with tools such as Jira, Confluence and Planview A proactive ...

using prompt engineering, embeddings, and evaluation techniques Build AI solutions for document processing, compliance, and banking chatbots Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud platforms Implement batch and real-time data processing with structured and unstructured data Deploy solutions on cloud with CI/CD, MLOps tools ...

What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality ...

modern data stack. Advanced SQL capability, including complex transformations, window functions, and performance optimisation. Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery. Deep understanding of dimensional modelling techniques and tools such as dbt. Hands-on expertise with enterprise BI platforms, such as Power BI, Looker ...

Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks. This is a rare project offers the opportunity to solve the ultimate data pipeline challenge faced ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses Experience ...

ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant ...

data engineering, AI/ML fundamentals, and data platform architecture. · Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). · Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. · Organized, adaptable, and confident delivering training across time ...

tech listed below, preferably with Financial Services experience. Your professional experience + 10 years Cloud Engineering experience with AWS and GCP Snowflake Cloud Dev Ops Java Python CI/CD Pipeline Dev Kubernetes Terraform Software engineering for AWS DevOps tooling Deliverables: Responsibilities but not limited to: Perform software engineering activities ...

across the full development lifecycle 5+ years in financial services (buy-side strongly preferred) Solid relational database skills; MS SQL Server a strong plus Snowflake experience required Familiarity with AWS (S3, Lambda, EC2, Glue or similar) Proficiency with Git, CI/CD pipelines, and observability tooling (e.g. Datadog) AI & Tooling ...

design for scalable automated code generation in regulated environments Strong hands-on experience with AWS ecosystem: AWS Glue, S3, and related data platforms (e.g. Snowflake) Strong experience with Apache Airflow and DAG-based orchestration Experience designing configuration-driven frameworks: Using YAML or JSON Experience building automated testing for data pipelines ...

compliance systems experience Experience using AI coding assistants (Claude, Cursor, GitHub Copilot) with significant examples of delivery improvement AWS (S3, Lambda, EC2, Glue), Snowflake, Git, CI/CD, Datadog, MS SQL Server, REST, GraphQL, Airflow (as many as possible) Degree educated or higher in a relevant technical discipline from ...

technical infrastructure from scratch Technical leadership: leading engineers, owning a technical roadmap, or assembling a small high-caliber team Relevant backgrounds may include Databricks, Snowflake, Palantir, Confluent, Elastic, MongoDB, AWS, Google Cloud, Microsoft Azure, NVIDIA, AMD, Rescale, enterprise software , industrial software , cloud infrastructure , AI infrastructure , or advanced R&D environments ...

maintain documentation of the data integration patterns, data flows, data standards, data architecture. Provide direction on adoption of modern cloud technologies (i.e., Fabric, Snowflake, Azure) and adopt industry best practices. Play key role in selecting enterprise data tools. Keen eye to deliver project deliverables that are concerned with architecture, security … integration features. Extensive knowledge Data platforms - Fabric, Snowflake, CosmoDB, DataBricks, MongoDB, RDBMS Data replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools ...

process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Job Description- Strong knowledge of cloud data platforms - Snowflake Design and built resilient, reusable data pipelines Understanding of serverless architectures and data modeling concepts Ability to manage several technical workstreams and priorities. ...

space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally … joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability ...

model training and inference. Design infrastructure-as-code solutions for reproducible ML environments. Drive cost optimisation across ML compute, storage, and data transfer. Support Snowflake integrations for feature generation and training data pipelines. Elevating ML Practice Introduce and champion ML engineering best practices including CI/CD for models, automated … retraining. Experience with containerisation (Docker) and infrastructure-as-code. Proficiency with Git and version control workflows. Familiarity with SQL and data warehousing platforms (Snowflake preferred). Experience implementing monitoring, logging, and alerting for production systems. Strong debugging and incident response skills for complex distributed systems. Preferred Qualifications Experience deploying models ...

engineering and building scalable data solutions Solid understanding of data architecture and design patterns Experience with cloud platforms, particularly Azure Data warehousing experience (e.g. Snowflake, Azure SQL) Strong SQL and data modelling skills Experience with ETL/ELT pipelines and modern data tooling Ability to engage with stakeholders and communicate … submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, SQL, Python, Azure, Snowflake, ETL, Data Warehousing, Data Architecture, Data Pipelines, CI/ ...

knowledge with data querying, data analysis, data mining, reporting and analytics will be a plus Excellent verbal and written communication skills Tools: Power BI, Snowflake, Oracle DB, SQL, Microsoft office suite Must To Have Strong functional knowledge and experience in data and analytics Strong Pharma Commercials experience especially with knowledge … agile methodology and ability to convert business requirements into implementation ready Epics and user stories Excellent verbal and written communication skills Tools: Power BI, Snowflake, SQL, Microsoft office suite ...

approaches Responsibilities include: * Develop and enhance full-stack applications supporting investment and trading workflows * Build and optimise cloud-based data platforms and pipelines using Snowflake and DBT * Deliver reporting and analytics solutions using Sigma and Power BI * Support .NET application modernisation and API development initiatives * Contribute to CI/… aligned to engineering standards Skills required: * Strong full-stack engineering experience within financial services or investment or asset management environments * Hands-on experience with Snowflake, DBT, Sigma, and Power BI * Experience supporting credit trading or investment platform implementations * Strong knowledge of cloud-native engineering and modern software architecture * Experience with ...

Senior Data Analytics Engineer Outside IR35 Contract | London Hybrid | Snowflake/dbt | SaaS *One-stage interviews are taking place this week I’m currently supporting a high-growth SaaS business on a key Analytics Engineering contract role supporting the evolution of their reporting, operational insight and modern data platform capabilities. … commercial reporting Working closely with product, operations and leadership teams Improving self-serve reporting capability across the business Key requirements: Strong SQL capability Snowflake experience dbt experience Strong data modelling capability Experience within modern analytics/cloud data environments Comfortable working closely with business stakeholders SaaS or high-growth experience ...

Application Integration (CAI) . Cloud Ecosystem Connectivity: Seamlessly integrate data across major cloud platforms (AWS, Azure, GCP), SaaS applications, and modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. … mandatory requirement). The Full Suite: Deep proficiency in both CDI and CAI modules. Data Environment Knowledge: Solid experience integrating with cloud data platforms (Snowflake, Databricks) and cloud providers (AWS/Azure/GCP). Experience: 6-8 years of overall experience in ETL/Data Integration. Best Practices ...