176 to 200 of 467 Databricks Jobs

in querying and manipulating data. GCP/BigQuery : Experience building on Google Cloud Platform. Education : Degree in investments, accounting, or actuarial science. Nice-to-Haves Familiarity with dbt or Databricks . Experience with life insurance or investment-related projects. Interview Process Stage 1 : 30-minute screening call. Stage 2 : 1-hour technical interview. Reference: AMC/JWH/TDCE1 #jawh More ❯

such as Gong, Outreach, Seismic– experience launching CRM/tools into sales organisations a plus Advanced Excel/Power BI/VBA skills Knowledge of SQL and experience with Databricks/Github preferred BI reporting tools such as Tableau a bonus Comfortable representing sales ops and collaborating on cross-functional projects (finance, marketing, customer success) Benefits Great holiday allowance Hybrid More ❯

such as Gong, Outreach, Seismic– experience launching CRM/tools into sales organisations a plus Advanced Excel/Power BI/VBA skills Knowledge of SQL and experience with Databricks/Github preferred BI reporting tools such as Tableau a bonus Comfortable representing sales ops and collaborating on cross-functional projects (finance, marketing, customer success) Benefits Great holiday allowance Hybrid More ❯

different business areas Qualifications and Requirements 5+ years in senior data architecture roles with expertise in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh More ❯

different business areas Qualifications and Requirements 5+ years in senior data architecture roles with expertise in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh More ❯

of analytics, data modelling, architecture, and schema design. Experience building sophisticated dashboards using leading BI tools. What will make you stand out Deep expertise with advanced data platforms (e.g. Databricks, Snowflake, Palantir). Familiarity with Python-based or low-code frameworks for building data-driven applications. Background in financial services or the ability to quickly understand industry-specific challenges. This More ❯

of analytics, data modelling, architecture, and schema design. Experience building sophisticated dashboards using leading BI tools. What will make you stand out Deep expertise with advanced data platforms (e.g. Databricks, Snowflake, Palantir). Familiarity with Python-based or low-code frameworks for building data-driven applications. Background in financial services or the ability to quickly understand industry-specific challenges. This More ❯

and performance within the team. Partner with IT Operations, business stakeholders, and the wider Data & Innovation team. Skills & Experience Proven experience in data engineering and system development, especially with Databricks, Microsoft Azure, Power Platform, and M365. Familiarity with SaaS platforms like Workday and Monday.com is a plus. Strong leadership and mentoring capabilities in agile environments. Comfortable with both hands-on More ❯

regulatory reporting systems in the banking sector. Strong analytical skills with the ability to communicate effectively across teams. Excellent time management and collaboration skills. Desirable Skills Exposure to Azure, Databricks , and middleware (IIB, Kafka, MQ). Experience in creating and managing data marts . Familiarity with modern data integration platforms . Why Apply? This is a fantastic opportunity to work More ❯

meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams More ❯

/Docker/GitHub/Bash script/Powershell Azure Technical Architect: Azure Administrator/Cyber Security/Networking/Azure Virtual Desktop/Cost monitoring/Diagnostics/Databricks Azure Technical Architect: Data Processing – (SQL/Data Factory/Azure Virtual Desktop) Proven abilities in scripting with PowerShell, C#, VB, SQL Knowledge & Qualifications: Educated to Master’s level in More ❯

and planning, through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical Insurance Employee Assistance Program Income More ❯

EXPERIENCE: 5-7 Years Mid Level SKILLS/CERTIFICATIONS: Experience with Atlassian Software products (JIRA, Confluence, Service Desk, etc.) Experience with ELK stack, OpenSearch, SonarQube, Cypress, PowerShell, C#, and Databricks Experience with Docker, SQL, Angular, Spring Boot, Nifi, AWS, python, scala, shell scripting, and XML processing Experience in AWS solution architecture SharePoint Microsoft Office Suite (Word, PowerPoint, Excel) Documentation tools More ❯

reporting What will you bring... Strong technical analytical skills as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions of all sizes Strong presentation More ❯

statistics, machine learning, and data engineering principles. Experience with Python (e.g., pandas, scikit-learn, seaborn) and SQL (Postgres preferred) for advanced data manipulation. Familiarity with the modern data stack (Databricks). Strong track record of delivering commercial and operational impact through data insight. Ability to handle ambiguous business questions with rigorous analytical approaches. Excellent storytelling and influencing skills, you don More ❯

reports, dashboards, and system data extracts, delivering actionable insights to support operational and strategic decision-making Advanced proficiency in corporate reporting tools, including Tableau, Excel, Alteryx, Power BI, and Databricks, with a strong ability to design and automate data workflows Solid working knowledge of SQL, capable of writing intermediate-level queries for data extraction, transformation, and analysis Expert-level user More ❯

weakly supervised learning, reinforcement learning, semantic search, knowledge-graph construction - Authored research publications, participation in ML competitions, working demos/repos - Experience with distributed computational frameworks (Spark, Hadoop, Kubernetes, Databricks) - Curiosity to learn more about the legal, tax or government domain (prior experience is not required) - Familiarity with traditional statistical methods, modern deep learning frameworks, prompting LLMs, RAG, vector search More ❯

scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments … workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within More ❯

scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments … workflows and deploying them at scale using Azure services. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer) Our client … is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Lead Data Engineer with significant Databricks experience as well as leadership responsibility to run an exceptional Agile engineering team and provide technical leadership through coaching and mentorship. We are seeking a Lead Data Engineer capable of leading client delivery … data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well More ❯

backend components of a next-gen trading platform. Work with Java and/or Kotlin to deliver robust solutions. Deploy containerised applications using Kubernetes and Docker. Leverage MongoDB and Databricks for data processing and analytics. Integrate with relational databases and support legacy data migration. Collaborate with stakeholders and contribute to technical decision-making. Ensure code quality through testing, debugging, and More ❯

backend components of a next-gen trading platform. Work with Java and/or Kotlin to deliver robust solutions. Deploy containerised applications using Kubernetes and Docker. Leverage MongoDB and Databricks for data processing and analytics. Integrate with relational databases and support legacy data migration. Collaborate with stakeholders and contribute to technical decision-making. Ensure code quality through testing, debugging, and More ❯

you on an exciting job opportunity with one of our clients. Job Title: Data Scientist with Gen AI Project Location: Plano, TX (Onsite) Job Description: Skills Required: Python MongoDB Databricks Generative AI NLP (Natural Language Processing) LLM (Large Language Model) tuning (OpenAI preferred) AI Agents development Supervised Machine Learning Unsupervised Machine Learning LLM Evaluation (specific to one position) Key Clarifications More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯

delivery across data engineering, automation, and integration. Collaborating cross-functionally to deliver impactful, maintainable solutions. Mentoring and developing team members to reach their full potential. Requirements: Strong experience in Databricks, Azure, Power Platform, and M365. Proven leadership in small technical teams, with a hands-on approach. Expertise in data integration, automation, and system design. Familiarity with SaaS platforms like Workday More ❯