Reporting to the Sales Manager, as a Start-up Account Executive at Databricks, you will focus on growing and acquiring new accounts. As a successful candidate, you are a self-starter who understands how to generate pipeline and manage full sales cycles. You have experience with the consumption business, you … purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to prospects Promote the value of the Databricks' Data Intelligence Platform Ensure 100% satisfaction among all customers What we look for: Experience penetrating new accounts, executing on first use cases, growing initial consumption … platform and cloud ecosystems Success closing new accounts while working existing accounts Passion for cloud technologies Bachelor's Degree or relevant work experience About DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune More ❯
in a data engineering or data science capacity, ideally within a cloud-based setup. Solid grasp of SQL, ETL workflows, data modelling principles, and Databricks development. Familiarity with DevOps tooling such as Git, CI/CD pipelines, and Azure DevOps. Confident in working with programming languages like SQL and Python More ❯
in a data engineering or data science capacity, ideally within a cloud-based setup. Solid grasp of SQL, ETL workflows, data modelling principles, and Databricks development. Familiarity with DevOps tooling such as Git, CI/CD pipelines, and Azure DevOps. Confident in working with programming languages like SQL and Python More ❯
or PhD with 5-7 years of relevant experience Experience in research Data Engineering Experience (DE Path) ETL Big Data Experience and Tooling (PySpark, Databricks) Python Testing Frameworks Data Validation and Data Quality Frameworks Data Handling (SQL & NoSQL) Feature Engineering Chunking Document Ingestion Graph Data Structures (Neo4j) CI/CD More ❯
stakeholders at all levels. Hands-on expertise in modern data platforms, tools, and technologies, such as: - Advanced data modelling - operational and analytical - Python, SQL - Databricks, Spark - Orchestration frameworks such as Dataform, Airflow, and GCP Workflows. - Modern architecture and cloud platforms (GCP, AWS, Azure) - DevOps practices - Data warehouse and data lake More ❯
managers to align AI solutions with commercial goals. Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for More ❯
london, south east england, united kingdom Hybrid / WFH Options
Aventis Solutions
managers to align AI solutions with commercial goals. Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for More ❯
AI technologies such as Azure OpenAI, LLMs & SLMs, Azure Machine Learning, Cognitive Services, and Azure AI Document Intelligence, with additional experience in Fabric, PowerBI, DataBricks, and LangChain. Work closely with clients to understand their architecture and integration needs, leading alignment and architecture revisions of AI-powered solutions. Provide technical leadership More ❯
experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such More ❯
to-end business processes, applications, and information architecture solutions integrating legacy, tactical, and strategic components. Experience with On-prem, On Cloud, Hybrid, Azure Integration, Databricks, SQL Server, Oracle, XML, Python, Power Apps, BAIS, Digital Workflow, Process Orchestration, BPMN, ECB Risk & Finance Data Model is highly desirable for this role. Strong More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Fynity
experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric stack Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such More ❯
London, England, United Kingdom Hybrid / WFH Options
MFK Recruitment
development workflows, and mentor junior team members. Software Engineer - (Not all) Skills Required: Python (FastAPI, Flask) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure More ❯
london, south east england, united kingdom Hybrid / WFH Options
MFK Recruitment
development workflows, and mentor junior team members. Software Engineer - (Not all) Skills Required: Python (FastAPI, Flask) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure More ❯
W1S, St James's, Greater London, United Kingdom Hybrid / WFH Options
MFK Recruitment
junior team members. Software Engineer - Skills Required: Python (FastAPI, Flask) (or another asynchronous language/framework) REST API development RabbitMQ/Message queue PostgreSQL Databricks Containerisation: Docker, Kubernetes CI/CD: Azure DevOps, GitHub Actions Relational databases and data lake architecture Model and data pipeline integration (e.g. MLflow) Microsoft Azure More ❯
excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Developed and deployed real-time pricing, recommendation or next best action models Understanding of MLOps We are More ❯
able to prioritise across several projects and to lead and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation More ❯
and tuning. Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc). Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks). Some experience with Python. Grit when faced with technical issues. Comfort and confidence in client-facing interactions. Ability to work both pre and post More ❯
the collection of new data and the refinement of existing data sources. Help manage day-to-day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordination and management of small to medium sized machine learning projects in small cross-functional More ❯
of structured and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity More ❯
data platform solutions In depth knowledge of the Snowflake platform and capabilities Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on More ❯
data platform solutions In depth knowledge of the Snowflake platform and capabilities Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on More ❯
Experience building scalable, high-quality data models that serve complex business use cases. Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc). Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker. Experience communicating with business stakeholders, managing More ❯
how to attain and consistently overachieve quota through accountability and cross leadership partnering Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc About DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune … rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and … Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse More ❯
