201 to 225 of 1,068 Remote Databricks Jobs

Clearance checks can be found here Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data More ❯

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on More ❯

R (R Studio) or Python for statistical analysis in a commercial context. Experience with data analytics tools and platforms such as Azure Synapse Analytics, Databricks, Salesforce, Microsoft Power BI, and website analytics tools (e.g. Google Analytics or Adobe Analytics) is desirable. Experience working with large datasets, including extracting and preparing More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

and/or engineering knowledge of one or more of the following Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks, Snowflake. Architectural and/or feature knowledge of one or more of the following Programming Languages/Packages: Python, Java, Scala, Spark, SQL, NoSQL databases. More ❯

availability for the business. Partner with E2E LEGO.com Operations digital product teams to ensure high quality data is collected and published to LEGO Nexus (databricks) to a standard fit for purpose for downstream delivery of data products. Enable LEGO Retail specific data understanding and champion data literacy via guidelines, training … Fluent in English and open to light travel (up to 10 days/year). Nice to have Experience with CI/CD pipelines, Databricks, and Databricks Asset Bundles is beneficial. You’re comfortable working in cross-cultural environments and collaborating with global teams across time zones. A good understanding More ❯

Join to apply for the Senior Data Engineer (Databricks) role at DATAPAO Get AI-powered advice on this job and more exclusive features. This range is provided by DATAPAO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range … no bounds. We are a leading Data Engineering and Data Science consulting company, recognized for our innovation and rapid growth. We have been named Databricks EMEA Emerging Business Partner of the Year and have achieved a second consecutive appearance on the Financial Times FT1000 list . We are currently looking … individually or by leading small delivery teams. Our projects are fast-paced, typically 2 to 4 months long, and primarily use Apache Spark/Databricks on AWS/Azure. You will manage customer relationships either alone or with a Project Manager, and support our pre-sales, mentoring, and hiring efforts. More ❯

technologies & tailored AI solutions to analyse a huge amount of cross-platform data. This approach generates valuable insights that empower our clients. Tech: Python, Databricks, Cloud (open to AWS, GCP, Azure), ETL, SQL The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud More ❯

in cloud- environments (AWS ) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL More ❯

Analytics & Data Science and their application, learning technologies along the way such as Excel/SQL/Python/Azure Cloud/Snowflake/Databricks/Power BI/Tableau Working in an agile environment you'll develop an understanding of business objectives and develop models & outputs that help our More ❯

Driven) and any experience with Copilot Studio is an advantage Programming experience in Python, R or SQL Experience with tools such as Microsoft Fabric, Databricks, or Snowflake Key responsibilities: Design and Develop Analytics Products: Lead the creation and implementation of advanced analytics products, ensuring alignment with business objectives and driving More ❯

deployment Confident presenting to stakeholders and running end-user training sessions Passion for clean design and data storytelling Any exposure to Microsoft Fabric or Databricks is a bonus More ❯

Proven experience delivering AI and data solutions in a Microsoft Partner or specialist technology consultancy environment Strong technical proficiency across Azure Synapse , Data Lake , Databricks , Power BI , Microsoft Fabric , and relevant AI services (e.g. Azure OpenAI, ML Studio) Deep understanding of modern data architectures, data governance, and operationalisation of AI More ❯

Proven experience delivering AI and data solutions in a Microsoft Partner or specialist technology consultancy environment Strong technical proficiency across Azure Synapse , Data Lake , Databricks , Power BI , Microsoft Fabric , and relevant AI services (e.g. Azure OpenAI, ML Studio) Deep understanding of modern data architectures, data governance, and operationalisation of AI More ❯

Proven experience delivering AI and data solutions in a Microsoft Partner or specialist technology consultancy environment Strong technical proficiency across Azure Synapse , Data Lake , Databricks , Power BI , Microsoft Fabric , and relevant AI services (e.g. Azure OpenAI, ML Studio) Deep understanding of modern data architectures, data governance, and operationalisation of AI More ❯

pricing (e.g., price elasticity, revenue management, dynamic pricing). Experience with data visualization tools (e.g., Tableau, PowerBI) and data management platforms (e.g., SQL, Snowflake, Databricks). A passion for building high-performing teams and creating a collaborative, data-driven culture. Excellent written and verbal communication skills, with the ability to More ❯

various industry sectors is a plus Understanding of data management best practices, including profiling, sourcing, and cleansing routines with data quality functions Knowledge of Databricks, Snowflake, Azure/AWS/Oracle Cloud, R, and Python Company Description Version 1 has over 28 years in Technology Services, trusted by global brands. More ❯

Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. More ❯

Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. More ❯

Background Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. More ❯

. 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 More ❯

Requirements : Experience with Microsoft Azure data tools — especially Data Factory and Synapse. Familiarity with Microsoft Fabric will be beneficial. Otherwise, experience with platforms like Databricks or Snowflake is also valued. Proficiency in Infrastructure as Code, preferably with Terraform, and understanding of CI/CD pipelines in a data engineering context. 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 ❯

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 More ❯

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 More ❯