10 of 10 Remote/Hybrid Snowflake Jobs in the North of England

another relevant programming language. Experience with modern data engineering tools, such as dbt, Airflow or Spark. Experience with cloud data warehouses, such as Snowflake, BigQuery or Amazon Redshift. A solid understanding of data modelling, ETL/ELT and data quality. Knowledge of data governance, security and privacy. Confidence taking ownership ...

Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering or large ...

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 ...

years consulting experience preferred Experience working with dimensionally modelled data Bachelors degree or equivalent experience, Masters Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data … system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern data warehouse capabilities and technologies such as real-time, cloud ...

decision making. • Comfortable working with ambiguity and independently driving analytical investigations that influence business outcomes. Preferred • SQL proficiency and experience querying data warehouses, with Snowflake experience a plus. • Experience designing propensity, risk, retention, migration, or customer value models. • Familiarity with customer segmentation techniques, behavioural analytics, and predictive modelling approaches. • Exposure ...

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 ...

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 ...

guardrails that engineering teams will actually build against. What we’re looking for: • Strong practical Data Architecture experience • Modern cloud data platform architecture • Snowflake and Oracle, or comparable OLAP and OLTP technologies • Advanced SQL and strong ELT and data transformation knowledge • Data warehouse and lakehouse architecture • Batch, event driven ...

data engineering, data development, data integrations, SQL, Python, data warehousing, & Azure data platforms is required by a leading company near Warrington. Any experience with Snowflake, Kimball, Databricks, & ThoughtSpot would be a bonus. The role can be Hybrid, with 2 days in the office. As part of an ongoing investment … schema design. * Experience building and maintaining ETL/ELT processes. Desirable Skills: * Databricks experience. * Azure Data Platform technologies, Azure Data Lake, Azure Analysis Services. * Snowflake, ThoughtSpot. * Knowledge of Kimball and Inmon data warehousing methodologies. * Exposure to AI-assisted development tools and modern AI technologies. The Role: This is a highly ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such … Docker and container orchestration tools AWS cloud infrastructure including AWS CDK MS SQL No SQL database such as Mongo AI Tools such as CoPilot, Snowflake Cortex About our client We believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want ...