51 to 75 of 499 Snowflake Jobs in London

marketing automation, personalisation and cross-channel customer engagement. Integration experience across APIs, SQL, ETL/ELT, MuleSoft and event-driven architectures. Experience with Snowflake, Databricks, Azure, AWS or Google Cloud. Understanding of batch, streaming, near-real-time and data federation architectures. Strong knowledge of security, data protection, privacy and consent ...

marketing automation, personalisation and cross-channel customer engagement. Integration experience across APIs, SQL, ETL/ELT, MuleSoft and event-driven architectures. Experience with Snowflake, Databricks, Azure, AWS or Google Cloud. Understanding of batch, streaming, near-real-time and data federation architectures. Strong knowledge of security, data protection, privacy and consent ...

Core/Cloud). Strong proficiency in SQL and good understanding of data modelling patterns. Experience with a modern cloud data warehouse (Snowflake, BigQuery etc). Experience with version control using Git. Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. A detail ...

ground breaking modelling. **How you'll contribute** * Developing and improving ingestion and transformation pipelines using technologies such as Spark, Scala, Python, AWS, DBT, and Snowflake* Owning and improving the organisation's Data Lake environment and data platform. Ensuring it remains robust, scalable, and future‐ready* Owning ETL processing, table refreshes ...

Zapier, Workato or Langdock, and you are excited to do the same with Mistral's own models and tooling. Working experience with data warehousing (Snowflake, BigQuery) and the modern data stack (dbt or similar), and with visualisation tools such as Metabase, Looker, Tableau or Power BI. ...

record of designing and implementing data solutions. Proficiency in programming languages such as Python, Java, or Scala. Strong experience with data warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data ...

building, and operating ETL/ELT pipelines and large-scale data architectures. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...

similar financial services is preferential. The knowledge, experience and qualifications that’ll help Experience with finance systems, data warehousing, and business intelligence platforms (e.g., Snowflake, Tableau, Power BI). Proficiency in data management technologies and tools (e.g., Collibra). Exposure to data analytics, automation, or AI/ML tools related ...

schemas. Nice to Have: Hands-on experience with modern data transformation tools like dbt. Familiarity with distributed compute and storage platforms (e.g., Kafka, Spark, Snowflake, or Presto/Trino). Experience in product-led SaaS, fintech, or high-growth tech environments navigating complex event tracking or onboarding funnels (prior FinCrime ...

Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks Ability to think strategically and relate architectural decisions and recommendations to customer needs. Ability to assess traditional and modern data architectural components based ...

Your Talents Include the Following? Deep technical expertise within one or more major cloud data ecosystems, including Microsoft Azure and Fabric, Databricks, AWS and Snowflake, or Google Cloud Platform and BigQuery. Proven experience architecting and implementing enterprise-scale data platforms within client environments. Strong knowledge of modern data architecture patterns ...

predictive modelling) in a regulated enterprise setting. Strong understanding of cloud data platforms and their application in analytics and AI (e.g., AWS, Azure, GCP, Snowflake, Databricks), along with data management, governance, quality, and security practices. Sound knowledge of the insurance value chain: policy and claims data, underwriting and pricing processes ...

scale solutions and programmes. Technical Proficiency: Strong experience across one or more major cloud and data platforms, such as AWS, Azure, GCP, Databricks or Snowflake, including their AI/ML and generative AI services, with broader awareness of the wider vendor landscape. Strong understanding of functional data architecture designs, including ...

Senior Software Engineer – Graph Analytics for Snowflake London The Role Join the team behind Neo4j Graph Analytics for Snowflake , our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You’ll work on a product that … lives natively inside Snowflake – a containerized Java + Python runtime, a SQL‐first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection ...

experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks. Effective communication in English. Preferred Qualifications Experience ...

platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving ...

cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience ...

Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Media ...

automation, or enterprise data architecture.• Knowledge of public cloud platforms such as AWS, Azure, or GCP, and exposure to cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric. Relevant certifications are a plus, although not a requirement.• Strong understanding of analytics workflows, data integration, data governance, automation ...

tools like Airflow or Dagster. Strong SQL and a good grasp of data modelling patterns. Experience with a modern cloud data warehouse, such as Snowflake or BigQuery. Confidence with Git and version control. Clear communication, and the ability to work well with technical and non-technical colleagues. A detail-oriented ...

third-party systems. Data Warehousing Knowledge: You understand modern data warehouse architectures and have experience working with cloud-based solutions such as Amazon Redshift, Snowflake, or BigQuery. Data Quality & Reliability: You have a strong understanding of data quality principles, automated testing, validation, and monitoring, with a proactive approach to identifying ...

presenting technical recommendations in clear business terms. Strong architecture judgement across modern data platforms, integration patterns and analytical systems. Depth in platforms such as Snowflake, Databricks or Microsoft Fabric/Azure, with the ability to assess alternatives against business requirements. A grounding in data engineering, including ingestion, transformation, data modelling ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

decision-support tools, or AI applications that have influenced strategic, operational, or investment outcomes. Familiarity with modern cloud data platforms and technologies, including Databricks, Snowflake, AWS, Azure, or GCP. Experience working in embedded, investment-facing, consulting, or front-office analytics teams where business adoption and impact are critical measures ...

experience preferred Experience working with dimensionally modelled data Bachelor's degree or equivalent experience, Master's Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data … system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud ...