technical roadblocks, and create measurable value. This role requires deep familiarity with modern data ecosystems. You’ll leverage cloud data warehouses such as Snowflake, Databricks, and others to architect robust, scalable solutions. You’ll help customers harness the power of AI and large language models (LLMs) to build intelligent agents … enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic More ❯
technical roadblocks, and create measurable value. This role requires deep familiarity with modern data ecosystems. You’ll leverage cloud data warehouses such as Snowflake, Databricks, and others to architect robust, scalable solutions. You’ll help customers harness the power of AI and large language models (LLMs) to build intelligent agents … enhanced insights and automation Working knowledge of database technologies (relational, columnar, NoSQL), e.g., MySQL, Oracle, MongoDB Experience with modern cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) Excellent organisational and multitasking skills across multiple sales cycles Agile and adaptable to evolving customer needs and priorities Creative problem-solver with a strategic More ❯
Databricks Architect I am working with a data driven Microsoft partnered consultancy who are looking for a Databricks Architect to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects on Azure and Databricks implementations. You will … of this role, you will be responsible for some of the following areas Advise clients on data solutions focusing on Azure data platform and Databricks Create and implement technical solutions Build effective relationships with external stakeholders, gathering accurate requirements and translate into technical solutions Provide hands on technical leadership focus … delivering data solutions focused on Azure Data Platform Strong ETL experience with tools such as ADF or SSIS Experience working with Azure technologies - Synapse, Databricks, Data Lake Knowledge of data architecture principles and data modelling In this role you will be required to attend the office on an ad-hoc More ❯
computing environment for Underwriting. In addition, you will act as technical leader for the development and delivery of a new Underwriting Datamart using the Databricks platform. To be successful in the role, you will be technically astute with experience of Python, SQL and Databricks. While an actuarial qualification is not More ❯
wider data architecture. Be a subject matter expert in the use and management of our data platform tools such as Azure Data Factory, Azure Databricks and Unity Catalogue and SQL Server. Apply best practice to ensure our pipelines are transparent, our data lineage is understood, and our data quality is More ❯
wider data architecture. Be a subject matter expert in the use and management of our data platform tools such as Azure Data Factory, Azure Databricks and Unity Catalogue and SQL Server. Apply best practice to ensure our pipelines are transparent, our data lineage is understood, and our data quality is More ❯
preferably within the fashion or retail industry. • Strong analytical skills with proficiency in Excel, data visualization tools (Tableau, PowerBI). • Able to code in Databricks and comfortable working with large datasets • Passion for fashion, customer-centric thinking, and a keen eye for detail. • Excellent communication skills and ability to work More ❯
preferably within the fashion or retail industry. • Strong analytical skills with proficiency in Excel, data visualization tools (Tableau, PowerBI). • Able to code in Databricks and comfortable working with large datasets • Passion for fashion, customer-centric thinking, and a keen eye for detail. • Excellent communication skills and ability to work More ❯
designing and implementing CI/CD pipelines in Cloud environments. Excellent practical expertise in Performance tuning and system optimisation. Experience with PySpark and Azure Databricks for distributed data processing and large-scale data analysis. Proven experience with web frameworks , including knowledge of Django and experience with Flask, along with a More ❯
years experience in Data product management with a background delivering data products Experience managing and establishing governance Strong understanding of Azure products such as Databricks Good background in Machine Learning (ML) analytics and deploying products Proven ability to mentor teams and lead continuous improvement in the data environment Excellent communication More ❯
London, Cornhill, United Kingdom Hybrid / WFH Options
VIQU Limited
years’ experience in Data product management with a background delivering data products Experience managing and establishing governance Strong understanding of Azure products such as Databricks Good background in Machine Learning (ML) analytics and deploying products Proven ability to mentor teams and lead continuous improvement in the data environment Excellent communication More ❯
a DevOps/agile team environment •Understanding of docker, Kubernetes, serverless architecture, and Helm •Exposure to platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, and Databricks •Strong analytical skills, diligence, and attention to detail •Willingness to conduct research using vendor documentation •Capability to create and maintain high-quality documentation •Possession of More ❯
a DevOps/agile team environment •Understanding of docker, Kubernetes, serverless architecture, and Helm •Exposure to platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, and Databricks •Strong analytical skills, diligence, and attention to detail •Willingness to conduct research using vendor documentation •Capability to create and maintain high-quality documentation •Possession of More ❯
hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About the Role Shape the future of AI with your voice! This exciting role as an AI Voice Actor More ❯
hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About the Role Shape the future of AI with your voice! This exciting role as an AI Voice Actor More ❯
hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About the Role Shape the future of AI with your voice! This exciting role as an AI Voice Actor More ❯
hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About the Role Shape the future of AI with your voice! This exciting role as an AI Voice Actor More ❯
enterprise software development (e.g., coding principles and optimization, testing methods, version control, etc.); Experience with modern information technology infrastructure for analytics (e.g., cloud services, Databricks, etc.); Experience with the execution of a large-scale, corporate transformation or information technology project; Experience as a manager of a team of consultants, technical More ❯
learning, improvement, and automation What You Bring Solid understanding of data modelling, data warehousing principles, and Lakehouse architecture Expert knowledge of ETL using Azure Databricks (Spark, Spark SQL, Python, SQL) and ETL/ELT design patterns Strong Databricks, SQL, and Python skills with comprehensive understanding of software development life cycles More ❯
learning, improvement, and automation What You Bring Solid understanding of data modelling, data warehousing principles, and Lakehouse architecture Expert knowledge of ETL using Azure Databricks (Spark, Spark SQL, Python, SQL) and ETL/ELT design patterns Strong Databricks, SQL, and Python skills with comprehensive understanding of software development life cycles More ❯
process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding … of customers to success. Good understanding of the CPG (Consumer Packaged Goods) domain is preferred. Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks , ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML More ❯
process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding … of customers to success. Good understanding of the CPG (Consumer Packaged Goods) domain is preferred. Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks , ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML More ❯
high quality BI reporting and data transformation solutions as part of the Central BI Team using tools such as Azure Data Factory, Microsoft Fabric, Databricks and Power Bi. Actively participate within the central Data & BI Team to help develop other team members and support the delivery of the team objectives. … Central BI solution meets the business SLA's, including occasional OOH activities. Key responsibilities Data & Business Intelligence Team Enhance existing Data Lakehouse with new Databricks pipelines to ingest new data sources. Build out data transformations to support new Facts and Dimensions within existing Data Lakehouse. Conduct data analysis and then … compatible with your experience and competencies. This description may be varied from time to time to reflect changing business requirements. Preferred Skills and Experience Databricks Azure Data Factory Data Lakehouse Medallion architecture Microsoft Azure T-SQL Development (MS SQL Server 2005 onwards) Python, PySpark Experience of the following systems would More ❯
goals, ensuring data assets are leveraged for maximum operational and commercial impact. Technology Ownership: Stay current with the latest developments in AI/ML, Databricks, PySpark, and Power BI; evaluate and integrate advancements to improve data pipelines, data science workflows, and reporting capabilities. Data Infrastructure: Oversee the design, implementation, and … tech, cybersecurity, or software distribution. Should have experience in GenAI, Graph, Neo4j, Azure Databricks. Expertise in cloud-native data platforms, with strong proficiency in Databricks , PySpark , and Power BI . Solid understanding of AI/ML applications in real-world business use cases. Strong knowledge of data governance, data warehousing More ❯
goals, ensuring data assets are leveraged for maximum operational and commercial impact. Technology Ownership: Stay current with the latest developments in AI/ML, Databricks, PySpark, and Power BI; evaluate and integrate advancements to improve data pipelines, data science workflows, and reporting capabilities. Data Infrastructure: Oversee the design, implementation, and … tech, cybersecurity, or software distribution. Should have experience in GenAI, Graph, Neo4j, Azure Databricks. Expertise in cloud-native data platforms, with strong proficiency in Databricks , PySpark , and Power BI . Solid understanding of AI/ML applications in real-world business use cases. Strong knowledge of data governance, data warehousing More ❯
