301 to 325 of 1,493 Databricks Jobs in England

managing cloud and technology costs Familiarity and understanding of AWS, Azure, and GCP service offerings Proficiency with data analysis tools and techniques (Excel, SQL, Databricks) Ability to communicate articulately and effectively across a diverse stakeholder population Excellent interpersonal and organizational skills Education: Bachelor's degree in Computer Science, Information Systems More ❯

Experienced in designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data More ❯

Experienced in designing and implementing data architecture within complex organisations. Expertise in modern data architectures I.E data lakes and warehouses. Hands on experience with Databricks and Cloud services (Azure, GCP OR AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data More ❯

AWS or other cloud technologies Excellent interpersonal and communication skills What puts you over the top: Experience in data processing solutions using Big Data, Databricks Experience with web debugging using Chrome Dev Tools or similar browser debugging tools Experience in cloud systems preferably AWS. Distributed services - docker containers, kubernetes Knowledge More ❯

where data content, data structure and data metadata may not align with the documentation Having experience in using these technologies in a Production context: Databricks, dbt, Teradata, Bash, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub Our customer first behaviours put customers and members at the heart More ❯

where data content, data structure and data metadata may not align with the documentation Having experience in using these technologies in a Production context: Databricks, dbt, Teradata, Bash, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub Our customer first behaviours put customers and members at the heart More ❯

about emerging technology and Insurtech Desirable; Experience with dbt Experience with version control software Experience within a modern cloud data warehouse, e.g. BigQuery, Snowflake, Databricks Experience working on data within Insurance and/or a B2B company About Us; We’ve combined groundbreaking AI and industry expertise to create a More ❯

deliverables. Motivated to expand technical skills. Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

of Data Engineering to lead data strategy, architecture, and team management in a fast-paced fintech environment. This role involves designing scalable Apache Spark , Databricks , and Snowflake solutions on Azure , optimizing ETL/ELT pipelines , ensuring data security and compliance, and driving innovation in big data processing. The ideal candidate … data engineers, fostering a culture of innovation, collaboration, and best practices. Big Data Processing: Architect, optimize, and manage big data solutions leveraging Apache Spark, Databricks, and Snowflake to enable real-time and batch data processing. Cloud Data Infrastructure: Oversee the deployment and maintenance of Azure-based data platforms, ensuring high … in data engineering, with at least 3+ years in a leadership role within fintech or financial services. Strong hands-on experience with Apache Spark, Databricks, Snowflake, and Azure Data Services (Azure Data Lake, Azure Synapse, etc.). Deep understanding of distributed computing, data warehousing, and data lake architectures. Proficiency in More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

and transformation in Azure. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations Use Azure Data Factory and Databricks to assemble large, complex data sets Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Ensure data quality … solving, and collaboration with cross-functional teams Azure DevOps Apache Spark, Python Strong SQL proficiency Data modeling understanding ETL processes, Azure Data Factory Azure Databricks knowledge Familiarity with data warehousing Big data technologies Data governance principles are a plus Overview: Infosys is a global leader in next-generation digital services More ❯

platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI … collaborate with business segments (MW Snacking, Petcare, Royal Canin) to identify data platform requirements and develop tailored solutions working with vendors such as Microsoft, Databricks, Snowflake etc., Develop and implement strategies for activating new platforms, frameworks, and technologies within the MARS, deploy to segments and corporate teams within MGS. Ensure More ❯

the design, development, testing, implementation, and maintenance of data-driven software solutions. The ideal candidate will possess expert-level knowledge of Python, C#, .NET, Databricks, and Azure, ensuring alignment with business objectives. They will identify and champion innovation in technology and processes to unlock new commercial opportunities. Collaborating closely with … latitude in decision-making. Key responsibilities include migrating an existing Python-based reporting/analytics application and its data workflows from Azure SQL to Databricks, creating and optimizing data pipelines in Databricks, and leveraging scheduling, job orchestration, and optionally machine learning features to serve trading and analytics needs. The Senior … code (e.g., data structures, error handling, code optimization). Proficiency in SQL – comfortable designing databases, writing complex queries, and handling performance tuning. Experience with Databricks (or a comparable Spark environment) – ability to build data pipelines, schedule jobs, and create dashboards/notebooks. Experience with Azure services (Data Factory, Synapse, or More ❯

the design, development, testing, implementation, and maintenance of data-driven software solutions. The ideal candidate will possess expert-level knowledge of Python, C#, .NET, Databricks, and Azure, ensuring alignment with business objectives. They will identify and champion innovation in technology and processes to unlock new commercial opportunities. Collaborating closely with … latitude in decision-making. Key responsibilities include migrating an existing Python-based reporting/analytics application and its data workflows from Azure SQL to Databricks, creating and optimizing data pipelines in Databricks, and leveraging scheduling, job orchestration, and optionally machine learning features to serve trading and analytics needs. The Senior … code (e.g., data structures, error handling, code optimization). Proficiency in SQL – comfortable designing databases, writing complex queries, and handling performance tuning. Experience with Databricks (or a comparable Spark environment) – ability to build data pipelines, schedule jobs, and create dashboards/notebooks. Experience with Azure services (Data Factory, Synapse, or 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 ❯

month • Sector: Technology Required Skills: • LLM (Latent Log-linear Model) : Expertise in using LLM for advanced predictive modelling and analysis. • Data Bricks : Proficiency with Databricks platform for big data processing and analytics. • Machine Learning : Strong background in developing and deploying machine learning algorithms and models. • Python : Excellent coding skills in 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 ❯

and experience in technical testing for data analytics/engineering Hands-on experience with GCP or AWS and data warehousing such as Snowflake or Databricks Experience of working with relevant stakeholders to understand requirements, approach challenges and to understand discuss the architectural framework. Mentoring or training experience would be seen 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 ❯

month Sector: Technology Required Skills: LLM (Latent Log-linear Model): Expertise in using LLM for advanced predictive modelling and analysis. Data Bricks: Proficiency with Databricks platform for big data processing and analytics. Machine Learning: Strong background in developing and deploying machine learning algorithms and models. Python: Excellent coding skills in More ❯

Data, Analytics and AI concepts and experience in either delivery or pre-sales or solutions on next-gen Data on Cloud Technologies (e.g. Microsoft, Databricks, Snowflake, AWS, GCP) Successfully delivered Projects/Programs in building Enterprise Datra Platform on Cloud, Migration Programs, Data Consulting, or projects encompassing Data and Analytics More ❯