751 to 775 of 882 Remote Databricks Jobs

Have experience of building and leading a distributed team Be passionate about internal quality, good code and effective technical practice Know our tech stack: Terrafrom, Python, Spark, Kafka, Kubernetes, Databricks and AWS services YOU WILL ENJOY 25 days holiday + bank holidays + your birthday + volunteer day Regular shutdown days, including the festive period Hybrid working - 3 days in More ❯

attentive to detail, and an ability to drive high standards from your teams and collaborators Experienced using analytics tools and platforms (including basic SQL usage, advanced Excel, Python, Tableau & Databricks) Familiar with the concepts of data management Proactive with data, hypothesis testing Comfortable working with larger data sets and querying within database architectures Advantage if you have: Experience in Jira More ❯

to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum More ❯

models, causal inference, or revenue optimisation Experience with NLP, image processing, information retrieval, and deep learning models Experience with experiment design and conducting A/B tests Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and More ❯

is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more. Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation. Come join one of the most innovative teams on the More ❯

Senior Data Platform Engineer Salary: £80,000 - 90,000 + Bonus and benefits Location: London - Hybrid We are currently seeking a Senior Data Platform Engineer to join a prestigious retailer that's evolving into a digital-first, data-led organisation. More ❯

scalable, modern data solutions across their ecosystem. This is a unique opportunity to help shape the data architecture of a household-name brand, working with platforms including Microsoft Azure , Databricks , Tableau , Cortex (CDP) , MS Dynamics (CRM) , and GraphQL . Key responsibilities: Design and oversee implementation of efficient, scalable data solutions across Azure and Databricks Lead data integration across BI, CRM … clear, value-driven technical solutions Oversee data governance, performance optimisation, and cost management About you: 7-10+ years' experience in enterprise-scale data architecture, ideally within Azure/Databricks environments Proven leadership of cross-functional teams and external partners Strong hands-on experience building data pipelines and real-time integrations using tools like Tableau, Cortex, and MS Dynamics Deep … commercial growth. To find out more or apply, please get in touch. #DataArchitecture #Azure #Databricks #CRM #BI #MarketingTechnology #Hiring #GraphQL #CDP #SolutionArchitect #DataJobs Desired Skills and Experience Microsoft Azure, Databricks, Tableau, Cortex (CDP), MS Dynamics (CRM), and GraphQL. More ❯

Data Engineer (Python SQL Spark Azure Databricks) London to £130k Are you a tech savvy Data Engineer with a first class education? You could be progressing your career working on complex and challenging systems at a Hedge Fund with over $17 billion under management. What's in it for you: Salary to £130k Significant bonus earning potential Fund performance share … technical skills with Python and SQL, experience with version control and contributing to a shared codebase You have experience with modern data tools and technologies including Apache Spark, Azure Databricks experience would also be great You have a strong knowledge of data management principles and best practices You have experience with data analysis, visualisation tools and techniques You're able … information to front office traders You have an understanding of financial markets and investment management Apply now to find out more about this Data Engineer (Python SQL Spark Azure Databricks) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come More ❯

Senior Data Analyst, £ 55000 - 65000 + benefits. SQL, ETL, Databricks Python. Home Based with one day a month at the office in Nottingham. Expanding SaaS product company are looking for a Senior Data Analyst as they continue to grow. In this hands-on role you will join a team analysing data, generating insightful reports and supporting decision making across the … knowledge of SQL to retrieve, manipulate and filter data. Experience building interactive dashboards. Knowledge of statistics and probability. Knowledge of Looker. Technical skills to include a combination of Python, Databricks, SQL, ETL and ideally you will have worked in a SaaS environment. This is an excellent opportunity to join a company as it continues to grow and expand its data More ❯

Data Engineering Manager £110,000-£115,000 + 10% bonus ️Databricks, Snowflake, Terraform, Pyspark, Azure London, hybrid working (2 days in office) Leading property data & risk software company We are partnered with a leading property data & risk software company that contributes valuations, insights, and decisioning technology to over 1 million mortgage approvals each year. They are looking for a hands … in Azure, data visualization, and data modeling. Engage in projects that influence the company's bottom line. Drive the business forward by enabling better decision-making processes. Tech Stack : Databricks, Azure, Python, Pyspark, Terraform. What's in it for you 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary 25 days annual leave plus More ❯

requirements. Champion best practices in data modelling , ensuring consistency and scalability across the enterprise. Play a critical role in the build-out and optimisation of a Medallion architecture using Databricks and the Azure data platform . Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to translate business requirements into technical solutions. Govern and enhance the overall … experience in London Market insurance data environments – essential. Strong background in data architecture , particularly within Azure ecosystems (e.g., Azure Data Lake, Synapse, Data Factory). Hands-on expertise with Databricks and implementing Medallion architecture patterns. Advanced data modelling capabilities, with experience across operational and analytical domains. Excellent stakeholder management and communication skills. Why Apply? Work on a high-impact programme More ❯

appears irrelevant and not related to the job description; consider removing or replacing with relevant content] This role involves shaping data flow across our ecosystem, primarily using Azure and Databricks, integrated with platforms like Tableau, Cortex, and MS Dynamics. You will leverage GraphQL for real-time data access, ensuring data is well-structured, secure, and accessible for actionable insights. This … driven by courage, community support, and integrity. Your day-to-day Manage data architecture strategy and design - Oversee the implementation of scalable data solutions within our Azure environment, including Databricks and GraphQL for real-time data access. Collaborate across teams - Act as the main liaison between business, product owners, and technical teams to ensure cohesive, value-driven solutions. Lead and More ❯

appears irrelevant and not related to the job description; consider removing or replacing with relevant content] This role involves shaping data flow across our ecosystem, primarily using Azure and Databricks, integrated with platforms like Tableau, Cortex, and MS Dynamics. You will leverage GraphQL for real-time data access, ensuring data is well-structured, secure, and accessible for actionable insights. This … driven by courage, community support, and integrity. Your day-to-day Manage data architecture strategy and design - Oversee the implementation of scalable data solutions within our Azure environment, including Databricks and GraphQL for real-time data access. Collaborate across teams - Act as the main liaison between business, product owners, and technical teams to ensure cohesive, value-driven solutions. Lead and More ❯

scope and value outcomes Supporting teams in an agile methodology with scrum ceremonies and project governance artefacts Leading diverse and interesting projects that utilize Azure Data Platform services, including Databricks and Microsoft Fabric. Collaborating with and guiding teams composed of both Arreoblue and customer members. Your role will be dynamic and varied, offering the chance to work on projects that … while educating clients. You should have solid experience with managing a range of projects ideally in the Microsoft Azure data tech landscape. Why choose Arreoblue? As partners with Microsoft, Databricks, and Datometry, we offer an expansive range of training, knowledge, and opportunities within the data and delivery industry. We are committed to investing in our people, and this is reflected More ❯

to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … methods - in particular GLMs. Knowledge of relevant machine learning techniques - in particular GBMs. Proven experience in working with large data sources. Good command of Advanced Excel, Python, SQL, SAS, Databricks or similar coding languages. Experience of Willis Towers Watson software such as Radar and Emblem. Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts More ❯

Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical/scenario More ❯

Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical/scenario More ❯

and revenue-driven. What We’re Looking For 1+ years of BDR/SDR Team Lead experience in SaaS. Background in Data, AI, BI, or ML SaaS (e.g., Snowflake, Databricks, Alteryx). Quota-carrying sales contributor who leads by example. Experienced in both inbound & outbound sales in a high-growth environment. Bonus Points If You Have Experience in technical consultancies. More ❯

in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get More ❯

will have Solid experience designing and delivering data solutions focused on MS Fabric 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 basis in London, with the More ❯

A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. Strong clarity More ❯

A/B tests and other statistical modelling techniques. * Proficiency in Python and/or R. * Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). * Ability to use data visualisation tools such as Looker/Tableau. * Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. * Strong clarity More ❯

A/B tests and other statistical modelling techniques. • Proficiency in Python and/or R. • Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). • Ability to use data visualisation tools such as Looker/Tableau. • Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. • Strong clarity More ❯

A/B tests and other statistical modelling techniques. • Proficiency in Python and/or R. • Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). • Ability to use data visualisation tools such as Looker/Tableau. • Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. • Strong clarity More ❯

as customers. To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just More ❯