276 to 300 of 739 Remote Databricks Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

validation , with at least 3+ years in a leadership role . Proven expertise in testing data platforms, data pipelines, and cloud-based big data solutions . Strong experience with Databricks, Azure Data Factory, Synapse, and cloud infrastructure testing . Deep understanding of data governance, data security, and compliance best practices . Expertise in test automation frameworks (e.g., Great Expectations, DBT More ❯

skills. The ideal candidate will demonstrate most or all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in More ❯

DP-600. Technical skills required for the role of Data Specialist: SQL and noSQL data and database management. Spark/PySpark, PowerBI with M & DAX, R. MS Fabric, Databricks, Data factory, Warehouses and Lakehouses, Data pipeline. Familiarity with Power Platform is a plus. Familiarity with dMRV (digital measurement, reporting and verification) standards and tools is a plus. WHAT WE CAN More ❯

a strong focus on customer insight, commercial impact, and stakeholder communication. Advanced Power BI experience, including DAX, data model optimisation, and workspace management. Proficiency in SQL and knowledge of databricks, dbt and fabric. Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power the guest journey. Proven experience designing A/B tests and using More ❯

role, you'll work in the Data Platforms Engineering team, utilising cutting-edge Cloud technology within Microsoft Azure to enhance our Enterprise Data Lakehouse platform. Using tools such as Databricks, Python, and Terraform , you'll design and develop key platform functionality and data analytics solutions. Expect a hands-on experience where you'll contribute significantly to our daily operations, making More ❯

experience working in a customer-facing role (IT Support, HelpDesk, Retail, and similar) Experience with AWS, GCP, and Kubernetes Distributed file system Experience with data platforms such as Spark, Databricks, EMR, Snowflake, or BigQuery. Knowledge of JIRA, Github, or Gitlab Familiarity with Machine Learning and Data Science tooling, such as Jupyter Notebooks, Tensorflow, Scikit-learn, and PyTorch Nice To Have More ❯

simultaneously. Strong written and verbal communication skills, with attention to detail and clarity. Preferred Qualifications: Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯

practices and tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within More ❯