301 to 325 of 2,057 Databricks Jobs

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with More ❯

Experience working with Generative AI models, their deployment, and orchestration. Solid understanding of database technologies and modeling techniques, including relational databases and NoSQL databases. Experience with setting and managing Databricks environments. Competent working with Spark. Solid understanding of data warehousing modeling techniques. Experience setting up CI/CD/DevOps pipelines. Experience with cloud platforms Azure and AWS and their More ❯

working with Generative AI models, their deployment and orchestration. A solid understanding of database technologies and modelling techniques, including relational databases and NoSQL databases. Experience with setting and managing Databricks environments. Competent working with Spark. Solid understanding of data warehousing modelling techniques. Competent with setting up CI/CD/DevOps pipelines. Experience with the cloud platforms Azure and AWS More ❯

disciplinary team of engineers, architects, designers, and strategists as we continue to grow our Data & Analytics practice across Europe. We're looking for a Principal Data Engineer with Azure, Databricks, and PySpark to join our team in London. The ideal candidate will have a strong background in data engineering, extensive experience with Azure cloud services, and experience leading a technical More ❯

Skills 5+ years' experience in SQL-based production environments (DBA/Data Engineering) Strong SQL/T-SQL skills for dynamic data warehouse processes Expertise in Azure, SSIS, and Databricks Solid understanding of data modelling, integration, and transformation Experience managing CI/CD pipelines and DevOps workflows Strong communication skills and a problem-solving mindset Desirable Skills Experience working with More ❯

as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect and estimate project More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. RLDatix is an equal More ❯

colleagues and customers, contributing to a positive impact. Required technical skills & knowledge: PL/SQL - Python - Microsoft Fabric - Microsoft Synapse - Microsoft SQL Server - Snowflake DBT -Agile - Power BI - AI - Databricks - ML Your profile You have a bachelor's and/or master's degree in computer science or equivalent. You have 2 to 5 years of experience with different data More ❯

and SQL. Proficiency with BI tools (e.g., Tableau, Power BI). Building and maintaining ETL/ELT pipelines and data models within data warehouses. Using cloud computing tools like DataBricks for AI/ML. Experience in model governance and documentation Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready More ❯

data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of More ❯

contributions will accelerate cheminformatics research by building and maintaining curated datasets and robust data pipelines. These pipelines support analytics, modeling, and deep learning within platforms such as AWS, Azure Databricks, and Domino Data Lab. Key Responsibilities Develop, deploy, and maintain scalable, cloud-native data pipelines for molecular modeling and related domains. Operationalize architectural blueprints using modern orchestration frameworks and cloud More ❯

work end-to-end, making meaningful contributions within a small, agile team. Experience We're looking for candidates with: Extensive experience in Data Engineering with a focus on Azure, Databricks, and Delta Lake. Proficiency in Kubernetes, Infrastructure as Code, and Terraform. Expertise in Azure DevOps and a commitment to best practices. A preference for simple, transparent solutions and a drive More ❯

and SQL. Proficiency with BI tools (e.g., Tableau, Power BI). Building and maintaining ETL/ELT pipelines and data models within data warehouses. Using cloud computing tools like DataBricks for AI/ML. Experience in model governance and documentation Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready More ❯

problem solving, customer-focus, communication, collaboration and punctuality. Technical Skills: Knowledge of Python (desirable). Knowledge of Data Lakes & medallion architecture. Experience of data engineering using Microsoft Fabric or Databricks Experience of MS Azure Platform Proficiency in the following technical areas: (Fabric Power BI, SSRS, SSAS, SSIS). Advanced knowledge of SQL. Advanced computer skills (primarily Excel, Word, PowerPoint, and More ❯

governance, security (e.g., Row-Level Security, workspace management), and performance tuning best practices for enterprise BI environments. Integrate Power BI with Azure Data Services (e.g., Azure Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions, and enablement programs to enhance customer analytics capabilities and promote self More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and More ❯

Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue, Databricks, IBM DataStage Strong analytical and technical skills Good communication skills, both verbal and written, with experience working closely with business users Experience in the hospitality industry is beneficial WHAT'S More ❯

or Undergraduate degree in Computer Science, Statistics, Math, or Engineering Experience in financial services, operations fields Experience in gathering and documenting requirements with full testing traceability Experience in Snowflake, Databricks, Legend Studio platforms Data governance and modelling experience About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we More ❯

Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. Contribute to the development of More ❯