126 to 150 of 375 Snowflake Jobs in England

/CD, application resiliency, and security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such ...

Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert ...

Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert ...

data and building reproducible analysis pipelines. Ability to design pragmatic evaluation metrics where ground truth is fuzzy. Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar. Clear communicator who can influence without authority. Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar ...

application, cloud, integration and security. Working knowledge of data architecture concepts – including data modelling, integration, governance, visualisation and migration – and tools such as Databricks, Snowflake or equivalent. An appreciation of how technology can solve complex business problems, and comfortable operating at the intersection of business and technology. Strong written ...

data platforms, pipelines, and governance. Experience operating across large‐scale enterprise environments, navigating security, compliance, and integration complexity. Familiarity with Sainsbury's strategic platforms (Snowflake, Azure, AWS, Microsoft 365 Copilot) is advantageous. Awareness of responsible AI principles and practical experience applying them in delivery contexts. What you need to show ...

know when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

Design and implement solutions using key partner technologies, including: Google Cloud – BigQuery, Dataflow, Vertex AI, and more dbt Labs – Modern analytics engineering and transformation Snowflake – Cloud-native data warehousing Fivetran – Automated data pipelines for seamless integration What You’ll Bring Data Architecture: Proven experience designing and building data warehouse/… lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability Data Governance: Experience with data platforms with data quality, security, privacy, and governance controls built-in Ownership Mindset: Ability to take projects from concept ...

checks across the platform. Architect for Scale & Cost Efficiency Work with Toumetis’ Principal Cloud Engineer to evaluate and advise on cloud data technologies (e.g. Snowflake, Databricks, Redshift, Azure Data Services), balancing cost, performance, and long‐term flexibility. Challenge existing constraints and design patterns pragmatically, appropriate to a small but growing … experience with Python, SQL, and infrastructure‐as‐code. Experience across major cloud providers (AWS, Azure, or GCP). Familiarity with modern data platforms (e.g. Snowflake, Databricks, Redshift, Hadoop ecosystems). Solid understanding of data science and machine learning workflows and their infrastructure pain points. Experience with Microsoft data platforms ...

Senior Data Engineer (tech lead) - hands on Team Leader is required by a FTSE100 employer in London. Tech stack - AWS, GCP, Azure, Snowflake, Python, ELT/ETL, SQL, RAID Logs. £800.00 per day + ...

Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Experience Level Required in Years: 8 + years Mandatory Required Skills * Query Snowflake and Teradata environments to profile client segments and identify integration data anomalies. * Design, build, and maintain interactive Power BI/Tableau dashboards for wealth executives. ...

mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS | Azure | GCP Databricks | Snowflake Data lakes | Warehouses | Distributed systems DevOps | Infrastructure as Code | Secure deployment Data governance | Secure access | Analytics layers What you bring Active DV clearance (essential) Proven ...

machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager ...

frameworks, and regulatory requirements. Knowledge of data architecture, data quality, ETL processes, and data management principles. Experience working with cloud data platforms such as Snowflake and GCP. Understanding of governance policies, standards, roles, and controls required to manage enterprise data. Strong stakeholder management, communication, and consulting skills. Contract Details Location ...

through implementation Influencing architectural strategy and long-term capability Technology environment You'll typically be working across: AWS, Azure and Google Cloud Databricks and Snowflake Lake, lakehouse and modern warehouse architectures Distributed data processing platforms DevOps, Infrastructure as Code and secure deployment patterns Data governance, access control and analytics enablement ...

technical roadmaps What You'll Need to be Considered Strong expertise with SQL Server, SSAS, Azure Data Factory, and T-SQL Experience with ClickHouse, Snowflake, BigQuery, Databricks, or similar columnar platforms Production-level development experience in Python and/or Go Experience designing event-driven architectures utilizing REST, Kafka, NATS ...

structured, analytical approach to troubleshooting and problem-solving Experience working within Agile delivery teams Desirable Experience Python or JavaScript development Power BI, Alteryx or Snowflake Wealth management, private banking or financial planning environments If you're an experienced Xplan Engineer looking to join a highly respected wealth management business ...

fundamentals in Python or a functional language like Scala Experience designing and building big data applications with stacks like Databricks, Apache Spark, HDFS, HBase, Snowflake Real command of test-driven development and code quality, this matters as much to us as your data stack does Experience integrating large datasets from ...

company (e.g. IQVIA, Optum, or similar) is a strong plus, though not essential. • Familiarity with the modern data stack and cloud tooling (e.g. dbt, Snowflake/BigQuery, orchestration tools) and reproducible, version-controlled workflows. • Prior experience leading or mentoring a small analytics or data science team. Practicalities Reporting to: Managing ...

prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server, Snowflake, OneLake or similar data platforms. Strong understanding of software architecture, scalability, CI/CD, DevOps and engineering best practices. Experience working within Financial Services ...

prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server, Snowflake, OneLake or similar data platforms. Strong understanding of software architecture, scalability, CI/CD, DevOps and engineering best practices. Experience working within Financial Services ...

cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure ...

dive with a platform engineer and presenting a business case to a C‐minus‐1. Preferred, not required Experience with the modern data stack: Snowflake, Databricks, dbt, Airflow, BigQuery, Spark, or similar. Data observability, data quality, or AI observability experience is a strong plus. Familiarity with MEDDPICC, Command ...

proceed to an offer. Additional Preferred Qualifications Familiarity with modern data architectures, such as data lakes or lakehouse environments, and platforms including Databricks, Snowflake, or similar tools. Exposure to performance analytics, benchmark analysis, backtesting, or investment research methodologies. Experience using AI-enabled tools or automation techniques to scale analytical workflows ...

. Understanding of automation platforms (e.g., Zendesk Bot, Intercom Fin, Ada, Forethought, Decagon, or Zapier). Familiarity with CRM or data systems (Salesforce, HubSpot, Snowflake, Looker, Power BI, Tableau). Exposure to incident management programs (PagerDuty, StatusPage, Incident.io). Basic understanding of APIs, logs, or product usage analytics ...