76 to 100 of 109 Snowflake Jobs in Central London

Job Description AWS Stack, data being landed in S3, Lambda triggers, Data Quality, data written back out to AWS S3(Parquet Formats), Snowflake for dimensional model. Design and build the data pipelines, work with someone around understanding data transformation, this is supported by BA's, building out the data pipelines, moving into layers in the data architecture (Medallion architecture). … Requirements 5 plus year's experience with AWS 5-8 years overall exposure to Data Technical Lead experience Proficient in Snowflake, S3, Lambda Triggers Hybrid London 1-2 days a week £(Apply online only) (Outside IR35) The reason they're hiring now, they have a client that is all on a legacy system, on-prem platform, and they want to More ❯

clients. Expect hands-on technical work and leadership responsibility across infrastructure design, deployment, and optimisation. 💡 Key Tech Environment Cloud: AWS/Azure/GCP (2+ preferred) Data Platforms: Databricks, Snowflake IaC: Terraform, Pulumi, CI/CD pipelines Orchestration: Airflow, dbt, data ingestion frameworks DevOps: GitHub Actions, Jenkins, Docker, Kubernetes 📌 What We're Looking For Strong platform/infrastructure engineering experience More ❯

experience with Power Automate highly desirable too! Experienced using JIRA - You are able to understand/process data and adapt existing feeds into reporting. Some experience with Python/Snowflake would be highly desirable. Exposure to Asana would be desirable. You worked on data/infrastructure projects previously. Some financial services previous experience would be desirable. Excellent communication skillset. What More ❯

datasets (e.g. MSCI), manage schema changes, and ensure data quality Optimise existing model code and build new components in a clean, maintainable way Enhance data pipelines and tooling using Snowflake, AWS, and Python Work directly with investment professionals to scope and deliver solutions What we’re looking for: Strong Python engineering skills, including use of data libraries like pandas and More ❯

or service providers Ability to prioritise diverse, complex requirements Technical expertise in: T-SQL Power BI Microsoft SSIS Microsoft SSRS Distributed source control systems (Git, Mercurial, etc.) Experience with Snowflake is desirable but not essential Understanding of insurance terminology (Rullion is a recruitment agency) Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and More ❯

leading and management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity More ❯

buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You are proficient with git Soft Skills : You are an excellent communicator, with an ability to translate non-technical requirements into clear, actionable pieces of work You have More ❯

data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to iterative product development. Bonus More ❯

Zero-trust architecture, FCA compliance, and financial-grade security protocols 🔧 Technical Stack You'll Lead AI/ML: TensorFlow, PyTorch, MLflow, NVIDIA Triton, custom financial LLMs Data: Kafka, Flink, Snowflake, ClickHouse, Neo4j, vector databases Backend: FastAPI, GraphQL, microservices, Docker, Kubernetes Frontend: React/Next.js, TypeScript, real-time dashboards, mobile apps Cloud: AWS/Azure multi-cloud, Terraform, DataDog monitoring Fintech More ❯

Data Engineering Manager 💰 £110,000-£115,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company We are partnered with a leading property data & risk software company who contribute valuations, insights and decisioning technology to over 1 million mortgage approvals each year. They are looking for a hands … Fertility Treatment Financial Support Free Calm App membership Gym on-site Cycle to work and electric car schemes Data Engineering Manager 💰 £110,000-£115,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company More ❯

Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the growth leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data science with powerful location … Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non-technical teams Why Join: Join a mission More ❯

AI Proof of Concept. Contribute to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 4+ years of relevant software engineering experience post-graduation A degree (ideally a Master’s More ❯

Guiding the full lifecycle of a BI solution, including requirements impact analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Proficiency in tools such as Snowflake, DBT, Glue, and Airflow, you will help define the technical strategy and ensure scalable, high-performing data architecture Your Profile Essential skills/knowledge/experience: Extensive experience as Solution … Designer. Currently working on Data Lake (Big Data) based projects. Experience in Snowflake, DBT, Glue, Airflow. Ability to demonstrate structured consideration of multiple options, comparing competing technologies, and different functional design approaches e.g., Produce a KDD. Ability to present and discuss competing options and make recommendations to key stakeholders. Good understanding of Data Lake and Big Data technologies. Good understanding More ❯

full lifecycle Salesforce Data Cloud Implentations. A Certification in Salesforce Data Cloud. Strong experience in APIs & third-party integrations. Experience integrating with cloud-based data warehouses/lakes (I.e. Snowflake, AWS, Databricks, big Query) and data analytics tools (e.g. Tableau). A background in consultancy. Salesforce Data Cloud Specialist key details: Up to £88k salary Performance bonus. Flexible hybrid working More ❯

recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable business impact. Knowledge of marketing measurement techniques like media mix modelling. Exposure to advanced More ❯

performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of Version More ❯

years’ line management experience. Bonus Points For Hands-on with ESPs like Acoustic, SFMC, Adobe Campaign or Braze. Experience in dashboard reporting (Tableau, Power BI). Familiarity with SQL, Snowflake and Azure Data management tool experience - Faststats Why Join DCX? We’re not your typical agency. We don’t believe in one-size-fits-all. We believe in insight over More ❯

schema changes, and ensure accurate downstream calculations Translate investment logic into efficient, production-grade Python code Optimise performance of existing quant models and analytics Manage and enhance data workflows – Snowflake, AWS, Python Liaise daily with investment professionals to understand requirements and deliver solutions What we’re looking for: Strong Python developer with deep experience using statistical and numerical libraries (NumPy … pandas, SciPy etc.) Proven experience supporting quant or systematic investment strategies Good understanding of infrastructure – ideally AWS and Snowflake – and willingness to own setup and tooling Comfortable working in fast-paced front office environments with direct exposure to the investment team Detail-oriented, pragmatic, and able to work independently Initial 6-month contract with long-term scope. Hybrid working model More ❯

time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. London – Hybrid Circa £550pd Outside IR35 More ❯

Terraform Proficiency with modern DevOps and orchestration technologies such as GitHub Actions, Docker/ECR, Kubernetes/EKS, Airflow/MWAA A background in supporting large-scale data environments (Snowflake experience desirable) Excellent collaboration and communication skills, able to operate in a dynamic, fast-paced environment If you are passionate about cloud engineering and want to make an impact in More ❯

Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels). Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt. Familiarity with A/B testing, causal inference, and techniques for forecasting or audience segmentation. Comfortable navigating complex, regulated environments with multiple stakeholders. More ❯

Salesforce Data Cloud Consultant certification is essential. Strong knowledge of data architecture , ETL , and integration best practices. Hands-on skills with APIs , REST/SOAP , SQL , and platforms like Snowflake , Databricks , or BigQuery, Tableau . Knowledge of wider Salesforce ecosystem (e.g., Marketing Cloud, Sales Cloud, Loyalty Management) is a bonus. Why Apply? Work on large-scale, enterprise cloud transformations with More ❯

on user feedback What you'll bring 4+ years professional Node.js experience, including production microservices or data pipelines Hands-on expertise with columnar/OLAP databases (ClickHouse, BigQuery, Redshift, Snowflake or similar) Proven track record scaling ingestion systems that hit rate limits, retries and back-off logic across multiple third-party APIs Solid understanding of modern API design (REST) and More ❯

React) Excellent communication and stakeholder management skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree More ❯