1 to 25 of 59 Remote/Hybrid Snowflake Jobs in London

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 ...

Partner with global stakeholders to translate business needs into technical outputs. Requirements & Tech Stack Core Technical Skills Databases: Expert SQL skills; extensive experience with Snowflake and MS SQL Server . ETL & Modeling: Strong experience with dbt and at least one ETL tool ( Matillion, Fivetran, SNP Glue, or Informatica ). ...

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 ...

exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, lakehouse architectures). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure to automation or orchestration tools for analytics pipelines. Key Performance Indicators (KPIs ...

established enterprise approaches and modern data patterns, including: Azure data systems (must have). Oracle/AWS experience is ideal. Knowledge of Databricks and Snowflake is ideal. Experience of large-scale data migration programmes. Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/or Data ...

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 ...

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 ...

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 ...

exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, Lakehouse). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure to automation or orchestration tools for analytics pipelines. ...

Asset Management, or Wealth Management environments* Expertise across enterprise data architecture, data modelling, governance, and modern cloud data platforms* Experience with technologies such as Snowflake, Databricks, Microsoft Fabric, Bloomberg, MSCI, Refinitiv, Charles River, or similar ecosystems* Proven ability to lead complex transformation engagements and manage senior stakeholder relationships* Strong consulting ...

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 ...

data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server environment This role ...

coding tools (e.g., Copilot, Cursor, Claude, Codex) Nice to have: Experience with Airflow, Dagster or other orchestration tools Experience with data lakes (Synapse, Snowflake) Experience with Docker Experience with streaming technologies (Kafka, RabbitMQ) Experience with Spark or other big-data tools Hybrid working – 3 days per week in a central ...

scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server ...

building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering ...

negotiable) Experience working in smaller companies or growing environments Engineering-first mindset, ideally with a backend or software engineering background Desirable: Experience with Snowflake Orchestration tools such as Dagster or Airflow dbt for data transformation and modelling Apache Iceberg or modern table formats Background in high-growth, consumer-facing products ...

Engineer (Data), you’ll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost‐efficient. You’ll work with AWS, Snowflake, Python, and Terraform, building tooling, and onboarding new data sources. You'll collaborate closely with teams across the business, ensuring our platform is secure, scalable ...

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 ...

design, build, and maintain scalable data pipelines and ETL/ELT processes within a modern cloud data environment. Develop and optimise data solutions using Snowflake to support analytics, reporting, and business intelligence requirements. Collaborate closely with business stakeholders, analysts, and engineering teams to deliver high-quality data solutions across ecommerce … Ensure data quality, governance, security, and integrity across the data estate. Build and maintain data models to support reporting and self-service analytics. Optimise Snowflake performance, warehouse usage, and cost efficiency. Support and improve existing Azure cloud-based data infrastructure and orchestration processes. Troubleshoot and resolve issues relating to data ...

paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … data architecture involving data mesh, data lake, data warehouse and data lakehouse. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Why Joining Artefact? Build the Future of Data & AI Join one of the fastest ...

cloud-based data ecosystems (GCP Preferred) Hands on knowledge of tools such as BigQuery, Dataflow, Pub/Sub Experience with Databricks and/or Snowflake Strong understanding of modern data architectures (e.g. Data Mesh, event-driven systems, APIs) Experience working in Agile delivery environments with backlog ownership Ability to translate ...

Data & AI Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings/retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL (RDS) AWS Stack S3, RDS, SQS, EventBridge Containerized workloads (EKS/ECS) Engineering Practices Strong understanding of: distributed systems performance optimization ...

data engineering) with a deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize) or regulated industries (gaming/betting) is a significant ...

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 ...