1 to 25 of 149 Permanent Snowflake Jobs in 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 ...

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 ...

data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data strategy development Python or similar programming ...

hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls ...

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 ...

Skills & Experience Strong commercial experience in analytics engineering or working closely with data analytics teams Advanced SQL skills within modern data platforms such as Snowflake, BigQuery, or Databricks Experience building and automating data pipelines and workflows Working knowledge of dbt for data transformation Proficiency in Python for data manipulation ...

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 ...

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 ...

transformation programmes. Skills & Experience Essential Significant experience designing and delivering enterprise data warehouse, lakehouse, or analytics platforms. Strong experience with technologies such as BigQuery, Snowflake, Databricks, and Azure Synapse Analytics. Google Cloud Platform (GCP) experience highly desirable Deep understanding of data architecture principles and scalable solution design. Expertise in data ...

experience in Analytics Engineering or a similar data-focused role. Strong SQL skills and experience working with modern cloud data platforms such as Databricks, Snowflake, or BigQuery. Experience building and automating data pipelines and transformation processes. Familiarity with dbt (Cloud or Core). Working knowledge of Python. Experience delivering data ...

Experience with tooling such as Jira, Confluence or similar platforms ·Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

structures Your Skills and Experience Strong commercial experience working with large datasets and delivering insight Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery Experience building and automating data pipelines and transformations Familiarity with dbt for data modelling and transformation workflows Working knowledge of Python ...

least 5 years in senior leadership roles. Proven track record of building and leading customer-facing data products or analytics platforms. Deep expertise in Snowflake and modern cloud platforms, especially Azure (experience with AWS or GCP a plus). Strong technical proficiency with the modern data engineering stack, including tools ...

Examples of commonly seen platforms may include: Guidewire Duck Creek Sequel Verisk Xuber Eurobase Salesforce ServiceNow Power BI/Tableau Azure/AWS/Snowflake-based data platforms Good to Have Skills Experience with Lloyd’s Blueprint Two/London Market modernisation initiatives. Knowledge of ACORD messaging, market messaging ...

implementation, remediation and advisory work - Partner with senior client leadership - Translate technical requirements into business outcomes Tech environment: Azure/AWS/GCP · Databricks · Snowflake · Power BI · Python · SQL · Jira · Confluence · Agile/SAFe What you'll bring: - Track record delivering large-scale data or AI programmes - Strong stakeholder ...

engineering, ideally within fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able ...

BI. Experience developing reports, dashboards and semantic models using Power BI or similar analytics platforms. Knowledge of modern cloud data technologies such as Databricks, Snowflake or Azure Data Factory. An understanding of data governance, data lineage and data quality principles. The ability to work collaboratively with stakeholders to translate business ...

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 ...

across both technical and business stakeholders. Desirable Experience: Marketing attribution or Marketing Mix Modelling (MMM) Robyn, Meridian or similar measurement frameworks BigQuery, dbt or Snowflake Google Marketing Platform (CM360, DV360, SA360) Server-side Google Tag Manager A/B testing, experimentation or performance marketing analytics (Visa Sponsorship not available ...

Financial services experience • Understanding of investment or wealth management products • Experience establishing governance functions within organisations undergoing data transformation • Microsoft Azure or Fabric certifications • Snowflake experience and related certifications This role would suit an experienced Data Architect, Enterprise Data Architect, Data Governance Architect, Head of Data Governance, Data Strategy Lead ...

science, preferably in the software industry.* Knowledge of and hands-on experience with public clouds (AWS, Azure, GCP) and cloud data warehousing solutions like Snowflake and Databricks. Certifications with each are a plus. Understanding of SQL, Python, R, Apache Spark or similar product or language are also a plus.* Strong ...

intelligence platforms (Looker, dbt Semantic Layer, AtScale); Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search); Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner); Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan); MCP (Model Context Protocol) for agent‐data connectivity. Agent & AI Systems ...

experience : You have operationalised ML models in production, owning deployment, monitoring and lifecycle management (not just experimentation). Cloud platform expertise (AWS strongly preferred; Snowflake a plus) with deep understanding of services for compute, orchestration, storage and ML (e.g., SageMaker, Lambda, ECS/EKS, Step Functions). Experience with MLOps ...

generative AI services. Support analysis across AI platforms and providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks and Snowflake AI services where relevant. Provide insight into emerging AI pricing models and token-based cost structures to help teams make more informed technology and investment ...

experience : You have operationalised ML models in production, owning deployment, monitoring and lifecycle management (not just experimentation). Cloud platform expertise (AWS strongly preferred; Snowflake a plus) with deep understanding of services for compute, orchestration, storage and ML (e.g., SageMaker, Lambda, ECS/EKS, Step Functions). Experience with MLOps ...