601 to 625 of 1,855 Databricks Jobs

with Snowflake, DBT, and Python . Proven experience in data architecture, solution design, or similar roles within enterprise environments. Expertise in cloud-based data platforms (AWS, Azure, GCP, Snowflake, Databricks). Strong knowledge of modern data architectures (Data Mesh, Data Lakehouse). Experience with data modeling, ETL/ELT processes, and real-time data processing . Familiarity with data governance More ❯

junior colleagues. You will bring 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 as Azure Data Factory, RedShift More ❯

junior colleagues. You will bring 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 as Azure Data Factory, RedShift More ❯

business language, contributing to the development and execution of the data strategy, ensuring data integrity, and driving continuous improvement of our data platform. Key Skills Required Proficiency in Azure Databricks, including Unity Catalog, DLT, Cluster management, and optimization. Experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Stream Analytics, and Azure Event Hubs. Strong programming skills More ❯

junior colleagues. You will bring 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 as Azure Data Factory, RedShift More ❯

solutions, from envisioning through to engineering, evaluation and evergreening. An Azure background in either Software Development (e.g. C#, Kubernetes, App Services, Functions, Python, etc) or Data Platform (Microsoft Fabric, Databricks, Python, etc) , combined with Generative AI experience. Able to consult, advise, architect, and estimate project work. Strong analysis, requirements gathering and solution modelling. Solid engineering experience in python, SQL, and More ❯

and releases. Oversee projects involving data ingestion or production, providing technical advice and education on Data Engineering best practices. Skills needed: 5+ years in Data Engineering roles. Experience with Databricks, Data Factory, Azure SQL, Azure SQL DW. Ability to manage multiple priorities in a fast-paced environment. Knowledge of emerging technologies and their application to business problems. Experience with Kimball More ❯

and relationship management skills Strong project management skills, including scope, planning, and risk management Organizational skills to handle multiple tasks Proficiency in data analytics and manipulation Desirable: PowerBI, SQL, DataBricks, ArcGIS, ArcOnline, Excel, Google Sheets, AppSheets, ProntoForms, Jira, Lucid If you don’t meet all the requirements, we still encourage you to apply if you believe you are a good More ❯

one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer More ❯

DevOps and CI/CD - Understanding of compliance and lifecycle of data management Desirable Skills - Coding experience in any relevant language (Python, Pyspark etc.) - Experience working with Azure Synapse, Databricks, and/or similar technology - Experience automating test cases - Experience working with non-relational databases (Cassandra, MongoDB, etc.) - Experience of working in the Automotive industry Soft Skills - Strong communication skills More ❯

solutions, from envisioning through to engineering, evaluation and evergreening. An Azure background in either Software Development (eg C#, Kubernetes, App Services, Functions, Python, etc) or Data Platform (Microsoft Fabric, Databricks, Python, etc), combined with Generative AI experience. Able to consult, advise, architect, and estimate project work. Strong analysis, requirements gathering and solution modelling. Solid engineering experience in python, SQL, and More ❯

ability to design and develop insightful, user-friendly Power BI reports Proficiency in writing complex DAX measures Experience working in an Azure environment Familiarity with Azure Data Factory or Databricks (bonus) Excellent stakeholder engagement and communication skills A keen eye for design and a passion for creating visually engaging reports What’s in It for You: 25 days annual leave More ❯

to interpret results. Strategic thinker with the ability to work independently, manage multiple priorities and clearly communicate to non-technical audiences Bonus points for experience with: Knowledge of Python, Databricks, DBT and/or Fabric Familiarity with Azure data services Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power the guest journey. Experience creating More ❯

policy documents, etc). Enable 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. Coordinate and manage small to medium sized machine learning projects in small cross functional squads. What we’d like to More ❯

Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions in enterprise settings, preferably in life sciences. Excellent communication and interpersonal skills, with the ability to lead projects and More ❯

Data Architect should expect to provide technical leadership to teams working with neighboring technologies, most notably Microsoft’s Power Platform and Azure infrastructure. Experience across Microsoft Azure cloud platform = DataBricks/Spark The administration of database systems, primarily Microsoft SQL Server. Data Warehousing/Data Lakes/Master Data Management/Artificial Intelligence (AI)/Data Governance. The use of More ❯

Data Architect should expect to provide technical leadership to teams working with neighboring technologies, most notably Microsoft’s Power Platform and Azure infrastructure. Experience across Microsoft Azure cloud platform = DataBricks/Spark The administration of database systems, primarily Microsoft SQL Server. Data Warehousing/Data Lakes/Master Data Management/Artificial Intelligence (AI)/Data Governance. The use of More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to More ❯

success • Experience in designing cloud 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 large scale agile transformation projects More ❯

the ability to work independently as well as in team environments Experience of working within an agile squad and knowledge of Azure DevOps is preferable Experience of developing with Databricks a bonus, but not essential Experience of developing solutions in SSRS or QlikView a bonus, but not essential About Us Our benefits We offer all employees a comprehensive benefits package More ❯

on experience with Terraform and Bicep, deploying Azure infrastructure with automation, templates, and CI/CD pipelines. Azure Expertise: Solid experience with Azure services such as Synapse, Data Factory, Databricks, DevOps, networking, and security best practices. Effective Communicator & Team Player: Ability to translate technical concepts for diverse audiences and collaborate effectively. Creative Problem Solver: Enjoy solving complex infrastructure challenges with More ❯

on experience with Terraform and Bicep, deploying Azure infrastructure with automation, templates, and CI/CD pipelines. Azure Expertise: Solid experience with Azure services such as Synapse, Data Factory, Databricks, DevOps, networking, and security best practices. Effective Communicator & Team Player: Ability to translate technical concepts for diverse audiences and collaborate effectively. Creative Problem Solver: Enjoy solving complex infrastructure challenges with More ❯

like Jupyter notebooks, Pandas, PyTorch, and more. Experience with A/B testing and other experimentation methods to validate model performance and business impact. Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines. Strong problem-solving skills, creativity, and attention to detail. Excellent communication skills with the ability to distil complex analyses into More ❯

testing in data-intensive environments . Strong knowledge of testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , particularly Azure Databricks, Azure Data Factory, and Synapse Analytics . Hands-on experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL and scripting languages (e.g. More ❯

features, policy documents, etc) Enable 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 squads What we’d like More ❯