201 to 225 of 458 Databricks Jobs

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 ❯

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 ❯

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 ❯

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 ❯

PySpark Exposure to generative AI platforms or interest in building AI-powered workflows Ability to work closely with clients and lead delivery in fast-paced environments Exposure to Airflow, Databricks or DBT would be beneficial Some of the package details include: Salary up to £75,000 per year Bonus and share options Vibrant central London office, working closely with the 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 ❯

PySpark Exposure to generative AI platforms or interest in building AI-powered workflows Ability to work closely with clients and lead delivery in fast-paced environments Exposure to Airflow, Databricks or DBT would be beneficial Some of the package details include: Salary up to £75,000 per year Bonus and share options Vibrant central London office, working closely with the 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 ❯

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 ❯

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 ❯

for: Leading technical pre-sales engagements, including RFP/RFI responses and solution presentations. Designing enterprise-scale data platforms using a variety of cloud platforms including Azure, AWS, GCP, Databricks, Snowflake, and Fabric. Advising senior stakeholders on data strategy, governance, and innovation roadmaps. Overseeing technical workshops and shaping solution blueprints that win new business. Mentoring cross-functional teams and providing More ❯

for: Leading technical pre-sales engagements, including RFP/RFI responses and solution presentations. Designing enterprise-scale data platforms using a variety of cloud platforms including Azure, AWS, GCP, Databricks, Snowflake, and Fabric. Advising senior stakeholders on data strategy, governance, and innovation roadmaps. Overseeing technical workshops and shaping solution blueprints that win new business. Mentoring cross-functional teams and providing More ❯

and configure systems in the AWS environment, including EC2 instances, EKS, and other AWS services. o Collaborate with data teams to ensure resilient design and high-quality performance of Databricks, and other data related services in AWS tenant. o Develop automation scripts using Python, Terraform, Ansible, or other languages to manage AWS services and streamline operations. o Comfortable using a More ❯

with IT operations, business stakeholders, and the wider data and innovation function to deliver impactful solutions. Skills and Experience Extensive experience in data engineering and system development, particularly with Databricks, Microsoft technologies (Azure, Power Platform, M365), and integrations. Familiarity with a range of SaaS applications such as Workday and (url removed) is desirable. Proven ability to lead and mentor technical More ❯

with IT operations, business stakeholders, and the wider data and innovation function to deliver impactful solutions. Skills and Experience Extensive experience in data engineering and system development, particularly with Databricks, Microsoft technologies (Azure, Power Platform, M365), and integrations. Familiarity with a range of SaaS applications such as Workday and (url removed) is desirable. Proven ability to lead and mentor technical More ❯

core capability, support junior talent, contribute to solution design, and play a key role in pre-sales engagements. The role also includes working with major technology partners (e.g., Microsoft, Databricks) to deliver impactful, future-ready AI solutions.Key ResponsibilitiesLead design and deployment of scalable, secure, and ethical AI/agentic systems.Define best practices for AI architecture and conduct technical reviews.Ensure seamless More ❯

and correction processing Experience working with DoD collection and disbursing operations Ability to independently research data reconciling variances Highly proficient skills in MS Excel Experience with SQL, Python, and Databricks for data querying and scripting CPA or eligibility to sit for CPA certification Certified Government Financial Manager (CGFM), Certified Defense Financial Manager (CDFM), Certified Information Systems Auditor (CISA), or other 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 Programme Income More ❯