26 to 50 of 509 Snowflake Jobs in London

with a focus on large scale data transformation and data warehousing. Excellent SQL coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms ...

related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline ...

Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflake and hands‐on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem‐solving ...

Experience leading data engineering projects or workstreams. Strong experience with cloud platforms and cloud data services . Experience with modern data platforms such as Snowflake and/or Microsoft Fabric . Strong data modelling experience across dimensional, relational and/or data vault approaches. Experience with Power BI, Tableau ...

application: Experience with front‐end web technologies and frameworks such as React and Next.js. Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks Your First 6 Months You can expect to quickly become involved in meaningful production work, including: 1. AWS Cloud Migration Support key elements ...

modern data architectures (data lakehouse, event-driven pipelines, and orchestration systems). Strong proficiency in Python, SQL, and IaC (Terraform). Experience using dbt, Snowflake, AWS, orchestration tool like Prefect. Experienced in building and maintaining batch and streaming data pipelines at scale. Skilled in managing and optimising cloud infrastructure ...

genuine passion for building scalable, resilient cloud data platforms alongside the following technical expertise: Platform Experience: Strong, hands-on experience with Databricks or Snowflake on AWS. Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow. Data Modelling: Advanced SQL skills and extensive experience with ...

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 ...

Experience working in agile environments at scale Domain expertise in retail, hospitality or consumer technology is valuable Familiarity with modern data stack tooling (e.g. Snowflake, dbt, Looker, Airflow, or #J-18808-Ljbffr ...

Platform Leads) and driving high-level database modernization strategy. Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. Mastery of migration migrations scope & progression taking customers from ...

networking, compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

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 ...

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 ...

/ML data pipelines in a clinical context. Familiarity with HL7 FHIR R4/R5 and modern SMART on FHIR architectures. Experience with Snowflake, Databricks, or Spark at scale. Why Work for Proximie? You will be encouraged to grow in your role, take ownership and gain responsibilities. Generous annual leave. ...

work in Cloud Data Engineering, Analytics and ML.**Required Skills & Experience**10+ years in data engineering, data warehousing, analytics or similar roles.Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces).Experience leading and mentoring engineering teams, particularly distributed or remote teams.Strong proficiency in programming languages like PythonProven ...

Python, Business Intelligence platforms, or Product Analytics tools. Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks). A successful record of experience in sales engineering, customer success, client‐facing professional services, consulting, or technical project management. Excellent written, analytical, communication, and presentation ...

teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms Prior experience acting as an AI champion or innovator within a larger organisation Consulting or client-facing delivery experience Bachelor ...

teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms Prior experience acting as an AI champion or innovator within a larger organisation Consulting or client-facing delivery experience Bachelor ...

Strong understanding of data modelling, governance and data quality frameworks. Experience delivering large-scale data transformation initiatives. Knowledge of technologies such as SQL, PySpark, Snowflake, Kafka and modern BI platforms including Power BI or Tableau. Excellent communication skills with the ability to influence senior technical and business stakeholders. This ...

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 ...

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 ...

track record of designing end-to-end data systems. Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like ...

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 (Financial ...

pricing platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem). Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS). Experience with data visualisation tools (e.g., Power BI, Tableau). Prior experience in a product owner, business analyst, or product management capacity ...

Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement on how data architecture shapes AI outcomes: designing governed sources for RAG, structuring data for retrieval and orchestration, and deciding ...