326 to 350 of 719 Remote Databricks Jobs

segmentation and measuring the impact of loyalty initiatives Supporting personalised targeting, promotions, and CRM activity Building and enhancing reporting using SQL, Power BI, and Databricks Designing and evaluating tests across loyalty, rewards, and communications Partnering with Marketing, Ecommerce, Product, and Data Science teams to maximise programme performance Your Skills & Experience ...

Financial Services or another regulated industry. Strong understanding of data architecture, including data modelling, integration, governance, visualisation and migration. Experience with platforms such as Databricks, Snowflake or equivalent. Experience with an industry platform such as Guidewire, Sapiens, Duck Creek, FNZ, SS&C, Pershing, Salesforce or Microsoft Dynamics would be advantageous. ...

within insurance. Strong programming skills in at least one language, ideally Python. Experience using Radar or a similar tool such as Earnix. Exposure to Databricks and Power BI would be an advantage. A numerate degree (2:1 or above) in mathematics or a related discipline. Knowledge of actuarial techniques, such ...

teams Experience managing complex, multi‐team technology and data deliveries Strong understanding of data platforms and data engineering environments Experience working with Data Lakes Databricks experience is a big advantage! Excellent stakeholder management, facilitation and communication skills Experience with Agile, Scrum and Lean delivery practices Strong ability to manage dependencies ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. What the role offers: GBP 80,000 DOE, negotiable Predominantly remote/hybrid working London office Full:time permanent position Excellent ...

relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. This is an excellent opportunity for a Senior Application Security Engineer where you can make a meaningful impact on the safe ...

engineering contexts.Knowledge of ISO 27001 and its relevance to secure engineering.Exposure to Agile working environments and DevSecOps practicesIdeally experience securing data platforms such as Databricks, Dagster or SnowflakeEligible to work in the UK.What the role offers:80,000 DOE, negotiablePredominantly remote/hybrid workingLondon officeFull-time permanent positionExcellent benefits packageThis ...

engineering contexts.Knowledge of ISO 27001 and its relevance to secure engineering.Exposure to Agile working environments and DevSecOps practicesIdeally experience securing data platforms such as Databricks, Dagster or SnowflakeEligible to work in the UK.What the role offers:80,000 DOE, negotiablePredominantly remote/hybrid workingLondon officeFull-time permanent positionExcellent benefits packageThis ...

multi-million ARR goal first set for this product line Addepar is also building new tools to fulfill investors’ needs. From Big Data in Databricks to new web apps and everything in between, you’ll help us build an AI-first platform to empower investors. Moving forward, Navigator and these ...

integrations. Basic proficiency in SQL queries. Exposure to or an interest in integrating with cloud-based data warehouses/data lakes, such as Snowflake, Databricks, or equivalent. An interest in Salesforce Agentforce capabilities, including building and deploying AI-driven agents. An understanding of Generative AI workflow design within the Salesforce ...

standards and ways of working, and presenting these to the community Here's a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT What we're looking for We'd love to hear from ...

Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large‐scale programmes, transformation initiatives and diverse stakeholder groups A collaborative approach, with ...

Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience ...

Proven Product Manager or Product Owner experience within a SaaS, technology, or digital environment. Experience working with data platforms, data warehouses, data lakes, Snowflake, Databricks, or similar technologies. Strong stakeholder management skills, with the ability to influence and build relationships across all levels of an organisation. Experience gathering requirements ...

Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations• Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform• Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups• A collaborative approach, with ...

make delivery smarter, with a willingness to learn and experimentPreferred Skills: Exposure to AI tools and/or data platforms such as Databricks or Power BI, and comfortable adopting new software quickly — curiosity and willingness to learn matters more than specific tool experienceBachelor's Degree in Engineering, Business, Mathematics ...

academic qualification Proven and successful track record and experience in a Consumer/loyalty analytics role Data analytics proficiency in modern tools (SQL/Databricks) and frameworks to drive data-driven decisions Eye for detail and storytelling, ability to look at data/trends and translate into engaging and compelling ...

deliver value and work independently interacting with many different stakeholdersSome experience with forecasting systems and visualization tools as well as tools such as Databricks, Power BI, advanced Excel and other analytical tools Excellent communication skills and advanced proficiency in English in both speech and writing Interest HR systems – possibly ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps — model deployment, monitoring, and retraining in production Experience building propensity ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps — model deployment, monitoring, and retraining in production Experience building propensity ...

stakeholdersDegree in a quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent)DesirableMaster’s or PhD in a quantitative fieldCloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse)Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines)MLOps — model deployment, monitoring, and retraining in productionExperience building propensity ...

stakeholdersDegree in a quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent)DesirableMaster’s or PhD in a quantitative fieldCloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse)Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines)MLOps — model deployment, monitoring, and retraining in productionExperience building propensity ...