426 to 450 of 889 Remote Databricks Jobs

installation on Linux systems. Experience with container technologies (Kubernetes, Docker). Proficiency in scripting and automation using Python and R. Familiarity with platforms like Databricks and Domino. Strong problem-solving, communication, and stakeholder management skills. Collaborative team player with the ability to work independently. Confident communicator, capable of leading discussions More ❯

Data Engineering Specialist, you will have a considerable understanding of data engineering principles including ETL Processes. You will have hands on experience working with Databricks, Pyspark for data transformation and be familiar with cloud computing such as Microsoft Azure Services. In your role you will have an understanding of data More ❯

written and verbal communication skills, with the ability to explain complex technical and statistical ideas to non-specialists Experience with cloud platforms such as Databricks What you will do Serve as a bridge between statisticians and technical teams Design and implement MLOps frameworks to support deployment of statistical models as More ❯

with the latest tools and techniques. A deep understanding of Azure components. Key areas: API Management Azure SQL and MI Functions Networking Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO). Solid understanding of Terraform. HELM. Advantageous: Healthcare or Government More ❯

is accomplished with quality and in accordance with IQUW values. Qualifications, skills and experience Essential experience: Experience with Microsoft Azure (Data Factory, Data Lake, Databricks, ADO) T-SQL Development (MS SQL Server 2005 onwards) MS Integration Services (SSIS) including development of full DW ETL Solutions MS Analysis Services (SSAS) for More ❯

how data products can drive business value in these sectors. You will have experience with cloud platforms such as Azure and data tools like Databricks, with an understanding of how to leverage the platform for product development, data integration, and advanced analytics. You will have experience working within Agile or More ❯

to date with industry trends and best practices in data visualization and business intelligence to drive continuous improvement. Why choose Arreoblue? As a Microsoft, Databricks, and Datometry partner, we have a vast array of training, knowledge, and opportunities within the data industry and technologies. We look to heavily invest in More ❯

other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative More ❯

data transformation and storage formats, e.g. Apache Parquet, Delta tables. Understanding of containerisation (e.g. Docker) and deployment (e.g. Kubernetes). Working knowledge using Spark, Databricks, Data Lakes. Follow best practices like code review, clean code and unit tests. You're comfortable working in an agile development team, familiar with version More ❯

Proficient in writing clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, Hugging Face, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills. Data Architectures: Understanding of modern data systems (lakehouses, data lakes). Additional (Nice-to-Have) Skills More ❯

solutions, practice development, architecture, and/or consulting OR equivalent experience Experience working with at least one of: Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, PostgreSQL, OR Cosmos DB. Preferred Qualifications and Experience Experience working in a customer-facing role (e.g., internal and/or external). More ❯

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 More ❯

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 More ❯

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 More ❯

Strong technical analytical skills as a Data Analyst Managing and manipulating data experience Strong working knowledge of SQL for data analysis (MS-SQL/Databricks - T-SQL, View and table design, Experience of ETL) Expert with PowerBI Advanced MS Excel (Power Query, Power Pivots) Stakeholder management and facilitation of decisions More ❯

coding standards, and guiding solution architecture. Yourexpertise in programming languages like Python and JavaScript, alongsideexperience with AI prototypes using platforms such as OpenAI and Databricks,will be essential. With strong problem-solving skills and the ability to managemultiple tasks, you'll take ownership of AI projects from concept to delivery.As More ❯

coding standards, and guiding solution architecture. Yourexpertise in programming languages like Python and JavaScript, alongsideexperience with AI prototypes using platforms such as OpenAI and Databricks,will be essential. With strong problem-solving skills and the ability to managemultiple tasks, you’ll take ownership of AI projects from concept to delivery.As More ❯

to changing requirements, and deliver your work in an iterative and incremental way. − You’ve experience working with cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You can use these platforms to access, process, and analyse large and complex data sets in a scalable and More ❯

partnerships. Align roadmaps with Cox Automotive’s pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI More ❯

partnerships. Align roadmaps with Cox Automotive’s pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI More ❯

metadata management processes using tools such as Collibra, Informatica, Microsoft Purview, or Alation. •Support the integration of governance practices within data platforms like Azure, Databricks, Microsoft Fabric, and enterprise BI tools. •Promote data literacy and training initiatives across the organisation. •Provide audit and regulatory evidence as needed, including support for More ❯

DQ). •Ability to analyse and interpret data to identify patterns and anomalies across large datasets. •Experience working with cloud data platforms (e.g. Azure, Databricks, Microsoft Fabric). •Knowledge of data regulations and standards including GDPR, BCBS 239, and Solvency II. •Strong communication and documentation skills to translate technical findings More ❯

of the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding More ❯

modeling techniques-all applied specifically to marketing performance optimisation and channel mix interpretation Technical proficiency with Python and SQL, ideally with experience working in Databricks environments Familiarity with data visualisation and marketing analytics platforms (we use Looker) An intuitive understanding of digital marketing ecosystems and the metrics that matter across More ❯

modeling techniques—all applied specifically to marketing performance optimisation and channel mix interpretation. Technical proficiency with Python and SQL, ideally with experience working in Databricks environments. Familiarity with data visualisation and marketing analytics platforms (we use Looker). An intuitive understanding of digital marketing ecosystems and the metrics that matter More ❯