1 to 25 of 58 Permanent Snowflake Jobs in the North West

data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data Governance and responsible AI principles ...

more of the following areas:Programming & Analytics - Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms - Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies - GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation - Power BI, Tableau, Looker and other business intelligence ...

more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker ...

Slalom is agnostic when it comes to the technology we work with and we support clients in a range of data cloud partnershipsincludingAWS, Azure, Snowflake and Databricks to name but a few. We are interested in individuals who are passionate and curious about what is next. As a Senior Consultant ...

Technical Requirements Strong Power BI development, data modelling and DAX skills. Hands‐on experience with Microsoft Fabric, or transferable experience from platforms such as Snowflake, Databricks or Synapse. Understanding of Lakehouse and warehouse concepts, medallion architecture, pipelines, dataflows and dev/test/prod environments. Experience building shared semantic models ...

designing scalable,reliableand maintainable data pipelines. Advanced working knowledge of SQL and Python. Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks,RedshiftorBigQuery. Experience within the Microsoft data ecosystem would beadvantageous. Strong understanding of modern engineering practices including source control, CI/CD, automated testing, code ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will ...

language. Excellent experience of SQL and relational databases. Solid experience of Cloud providers such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML. Expertise in building reliable Data Pipelines. Experience operating ...

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 ...

Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry experience in Retail or Consumer ...

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etcExcellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading technical ...

senior levels. A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy ...

containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow. Demonstrated ability to work ...

automated testing frameworks or CI/CD pipelines would be beneficial. • Experience with MuleSoft or other integration platforms and enterprise data platforms such as Snowflake, Databricks, Azure Data Lake, AWS or Google Cloud would be advantageous. • Understanding of batch ingestion, streaming ingestion, data federation, zero-copy, data sharing and near ...

selling work. Desirable experience • Hands-on delivery experience with one or more major cloud and data platforms - Databricks, Microsoft Azure, AWS, GCP or Snowflake - and familiarity with the wider AI ecosystem including OpenAI, Anthropic and Google • Experience designing semantic layers, data products or knowledge platforms that serve both analytics ...

DF Capital, based in Manchester, seeks a Data Engineer to join our growing Data & Analytics team. You will build scalable cloud data solutions, ingesting data from internal systems and external services to support regulatory reporting ...

things better. Skills required: Strong hands‐on development experience with Python Strong SQL experience (Any No‐SQL and/or Snowflake experience) Experience with DBT or Airflow Experience of working within small teams or a startup environment Interest in working closely with Artificial Intelligence/Machine Learning #J-18808-Ljbffr ...

they are expanding their Data Engineering team. THE ROLE: You will take ownership of developing and maintaining scalable data solutions across a modern Azure, Snowflake, and Fabric ecosystem. Key responsibilities include: Building and maintaining data ingestion pipelines using Azure Data Factory (ADF) and Snowflake. Developing and supporting data warehousing solutions ...

Message, or similar value-driven sales frameworks across a team. Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). Hands-on command of integration ...

Data team, creating clear ownership, standards, priorities and development pathways. Own the reliability, scalability, security and evolution of the company data platform, including Snowflake, and the wider reporting estate. Balance business-as-usual delivery, ad hoc insight requirements and strategic transformation programmes. Turn business challenges into practical data products, analytical … real-time pipelines using tools such as Azure Data Factory, Prefect or Airflow. Maintain and evolve cloud and in-house database platforms, particularly Azure, Snowflake, Microsoft SQL Server, MongoDB and SQLite. Set up, configure and operate Snowflake environments, including account structure, databases, schemas, virtual warehouses, RBAC, secure data sharing, workload ...

anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services or another regulated, data-rich environment. About AJ Bell At AJ Bell ...

Design and Programming Understanding of Databases and query languages (SQL). Experience of writing tests to a level of production code, using JUnit. Redshift, Snowflake, BigQuery, GWT, Gradle, Jenkins, Linux, Scripting for CLI, CICD, tool automation, etc. Agile methodologies such as Scrum and Kanban Working knowledge of public cloud platforms ...

designing and operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure), with working familiarity across multi‐cloud ...

pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences Awareness … support highly scalable data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams ...

certifications are desirable Ideally you will have experience with: Azure DataFactory/Azure Databricks MS SQL Server/SSMS/SSAS API Integrations Snowflake Node-RED ThoughtSpot If you are interested in this role, please apply! If you do not receive a response please accept your application is not suitable ...