676 to 700 of 792 Databricks Jobs in England

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 ❯

to define, test and deliver technical and functional requirements. - You will need experience implementing Master Data Management programmes, this is mandatory for the role. - SQL and PySpark knowledge - Azure Databricks experience. - Experience with Data Querying, and Data Profiling. - Experience working with Large data sets especially analysing and cleansing said data. - Strong Communication Skills. - Experience working within an Agile Environment. If 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 ❯

aligned data solutions. Key Skills & Experience: Proven expertise in creating and maintaining complex data models. Strong experience with data modelling tools and techniques. Experience working with Microsoft Azure and Databricks Solid understanding of database management systems and effective database solution design. Knowledge of data governance, data quality, and metadata management. Ability to translate business requirements into clear data models. Excellent More ❯

Skills: Strong understanding of asset management and data challenges faced Strong leadership skills with experience managing, mentoring, and developing high-caliber analytics teams Familiarity with analytics tools such as Databricks and PowerBI Experience with AI and automation Strong stakeholder management and communications skills Strategic mindset with the ability to translate complex data into clear, actionable business insights Please note that More ❯

Skills: Strong understanding of asset management and data challenges faced Strong leadership skills with experience managing, mentoring, and developing high-caliber analytics teams Familiarity with analytics tools such as Databricks and PowerBI Experience with AI and automation Strong stakeholder management and communications skills Strategic mindset with the ability to translate complex data into clear, actionable business insights Please note that More ❯

translate business requirements into effective data models. Excellent communication and stakeholder engagement skills. Strong analytical mindset with a structured, problem-solving approach. Hands-on experience with Microsoft Azure and Databricks is essential. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯

Data QA will be responsible for executing comprehensive manual tests to ensure the quality of data flows across various Chambers products and platforms, with a primary focus on the Databricks environment. This role plays a critical part in maintaining the integrity and reliability of our data services. Main Duties and Responsibilities: Collaborate with cross-functional teams to understand data migration More ❯

by example: mentor engineers, contribute to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking and engineering craft over buzzword More ❯

by example: mentor engineers, contribute to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking and engineering craft over buzzword More ❯

Octopus international regions. The role leverages a modern tech stack including SQL, Python, Airflow, Kubernetes, and various other cutting-edge technologies. You'll work with tools like dbt on Databricks, PySpark, Streamlit, and Django, ensuring robust data infrastructure that powers business-critical operations. What makes this role particularly exciting is the combination of technical depth and business impact. You'll More ❯

by example: mentor engineers, contribute to technical standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking and engineering craft over buzzword More ❯

and GitOps •Experience operating in 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 an adversary mindset •Continuous learning More ❯

and GitOps •Experience operating in 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 an adversary mindset •Continuous learning 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 ❯

risks, and help remove blockers to keep delivery on track. Your Qualifications: Strong familiarity with data integration, transformation, and orchestration workflows; experience with tools like Informatica, SnapLogic, Airflow, or DataBricks is a plus. Experience with Anaplan, other planning applications, or multi-dimensional modeling tools is highly desirable. Working knowledge of API-driven architectures, event-driven design, and cloud-native development. More ❯

Reddit, and Lyft rely on Zip to manage billions of dollars in spend. We're a fast-growing team that helped scale category-defining companies like Airbnb, Meta, Salesforce, Databricks, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, BOND, DST Global, and CRV, we're focused on developing cutting-edge technology, expanding 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 ❯

calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards and More ❯

co-owning and driving both $1M+ Proposal and SOW builds (can't delegate) - if you get help from Ness, that's a bonus Experience selling alliance partnership services (Salesforce, Databricks, AWS, Confluent) Must be willing to travel to France monthly and as required Willing to commit at least 3-years in role - we want sellers who see a path to More ❯

Sales Development Representative, London or Barcelona Remote Entry-level Full-time Description (Hybrid - must reside in Greater London or within a 1-hour commute) About Firebolt Firebolt is the lightning-fast cloud data warehouse built for engineering teams that need More ❯

Senior Data Scientist - Loyalty Salary: £80k - £90k Location: London, Hybrid Data Idols are working with one of the top global retail companies to expand its data capabilities by hiring a Senior Data Scientist within its loyalty scheme department. The Opportunity More ❯