51 to 75 of 375 Snowflake Jobs in England

Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design ...

PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining ...

task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life Strong Snowflake experience is preferred, and Databricks experience would be a bonus Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience ...

/Scala). Nice to Haves Experience operating data assets within a regulated SOX/PCAOB compliance environment. Familiarity with cloud data warehouses (e.g., Snowflake) and cloud compute orchestration. Prior domain exposure to financial flows, double‐entry ledger systems, or accounting integrations. Soft Skills A strong sense of long‐term ...

master data management (MDM) projects that shape overarching corporate data policies. Technical & Business Skills Data Architect Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API-led connectivity). Strong capability to design distributed, highly available, and secure data ...

least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output ...

Systems, or a related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern ...

practice, in designing systems, handling sensitive data, automating data processing that will support data presentation and interpretation. Highly Advanced SQL Server, SSIS DBT or Snowflake Advanced knowledge of Python and SQL Advanced data modelling knowledge Good knowledge of Electronic Health Record systems (e.g. Cerner/Epic etc) and other HealthCare ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

Management, Data Governance, Data Observability, Service Catalogue, Data Lineage tools, Operational Dashboards, Process Monitoring tools. Working knowledge in Azure/AWS cloud platforms with Snowflake and Databricks is a huge plus. Knowledge about internal and external integrations, triage issues and implement/recommend solutions to data problems and anomalies. Experience ...

Kubernetes Experience designing and building data-intensive applications or working alongside data engineering teams Experience working with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks AI engineering experience, including GenAI, LLMs, RAG, agentic solutions, or prompt engineering Blended Working: Weoperatea blended working model, with colleagues spending at least ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture. Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

developing scripts using Dot Net and Power BI for data processing or integration purposes. Strong background in data engineering including hands‐on expertise with Snowflake data warehousing concepts; advanced SQL skills for writing complex queries or stored procedures; familiarity with MongoDB (NoSQL) databases; experience using SSIS for data transformation workflows. ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company. Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

engineers. Ideal candidates have 7+ years in data engineering, strong SQL/Python, and hands-on experience with Azure/AWS/GCP, Databricks, Snowflake and CD/CI, DataOps, and data governance. #J-18808-Ljbffr ...

experienced Data Engineer to design, build, and maintain scalable data pipelines powering Moody’s next-generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, driving platform optimizations and cross-functional collaboration. In this role, you’ll collaborate with product owners ...

solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver ...

Data Platform Architect, Data Architect, Cloud Architect, or similar Strong expertise designing cloud-native data solutions on AWS Experience with Databricks, Redshift, Snowflake, or related technologies Understanding of modern data engineering and analytics frameworks Exposure to AI and Machine Learning technologies Strong knowledge of data governance and security best practices ...

tool (e.g. Tableau, Omni, Looker, Power BI) and strong SQL is essential. Desirable skills: · Ideally has experience with the tech stack (Tableau, Databricks, Snowflake, dbt ). · Exposure to AI-assisted development or analytics tools (e.g. Claude, Copilot) is a plus. · Degree or Masters in a numerate subject such as statistics ...

Strong engineering experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure ...

iGaming, fintech, or high-volume transactional systems Experience modelling event-based data (e.g. transactions, sessions, gameplay flows) Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Kafka) Experience with real-time or streaming data architectures Exposure to regulatory or compliance-driven data environments Experience supporting AI/ML data ...

Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Table #J-18808-Ljbffr ...

inclusive team environment where people are recognised and supported. Desired TOGAF or equivalent architecture certification. Certifications/exposure to Microsoft Fabric, Databricks, Snowflake , or similar enterprise data platforms. Experience with Data Mesh or domain-oriented data product operating models. Familiarity with governance platforms: Collibra, Informatica , etc. Experience working with global ...

surfaces you ship. Strong working knowledge of how to store and query large datasets at scale : SQL fundamentals; relational (e.g., Postgres), analytical (e.g., BigQuery, Snowflake), and embedded (e.g., SQLite) stores; and object storage with caching layers. Familiarity with ML workflow orchestration and experiment tracking (e.g., Kubeflow Pipelines, MLflow). Experience ...

quality. What we are looking for Experience Proven leadership of enterprise‐scale data platforms in complex organisations Deep expertise in cloud data technologies, including Snowflake, Databricks, AWS, and Microsoft stack Strong background in platform architecture and multi‐vendor, multi‐cloud environments Experience working in Agile environments with diverse stakeholders Knowledge ...