226 to 250 of 958 Remote Databricks Jobs

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)/ More ❯

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)/ More ❯

provide technical advice and education to product teams on good Data Engineering practice. Skills you will need: 5 years+ working in Data Engineering function. Databricks, Data Factory, Azure SQL, Azure SQL DW. Managing multiple priorities in a fast-paced environment alongside evolving the data tech stack and practices. Knowledge of More ❯

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 More ❯

. 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 More ❯

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 More ❯

Docker/Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working More ❯

with internal and external stakeholders. Key requirements Extensive SQL and ETL knowledge (10+ years). Expertise to include MS-SQL Server, TSQL, ADF, Azure Databricks, Python, Data Lake. Insurance MI or reporting experience. Nice to Have - Data Warehouse, PowerShell, DevOPs, Advanced Excel, Power Query, CICD. Ability to work quickly, efficiently More ❯

Docker/Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working More ❯

architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns. Experience in developing data product strategies, with a strong inclination More ❯

in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. Responsibilities You're an engineer at heart and enjoy the challenge of More ❯

improvements in current processes and practices. What do I need? Experience with Azure, including data storage, security, networking, monitoring, and management services. Understanding of Databricks, including engineering methodologies, cost management, scheduling, and data storage. Architecting cloud solutions to support a data-driven business using analytical and visualisation approaches, and knowledge More ❯

or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you if: You More ❯

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 More ❯

of data governance and data quality principles Intermediate experience using SQL, with the ability to query databases to validate data Experience of SAS or DataBricks advantageous Experience of a commercial/insurance environment advantageous Skills and Qualifications Good communication skills, both verbal and written Good time management and organisation skills More ❯

of data governance and data quality principles Intermediate experience using SQL, with the ability to query databases to validate data Experience of SAS or DataBricks advantageous Experience of a commercial/insurance environment advantageous Skills and Qualifications Good communication skills, both verbal and written Good time management and organisation skills More ❯

or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you if: You More ❯

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 More ❯

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 More ❯

Insurance and Reinsurance Finance GAAP Accounting and Actuarial Reserve Lloyds Regulatory Reports Databases (Data Warehouse, T-SQL, SSIS, SQL Server 2019) ETL Process with Databricks Programming languages (e.g. Python) AWS Skills Agile methodologies and Jira preferrable MS Office products (e.g. Access, Excel) Educated to a science-based BSc degree or More ❯

Basic coding experience along with self-serve strategy and tool development Understanding of CLV, Churn and Segmentation modelling Technical – Adobe ESP (or SF), Azure, Databricks, Power BI and Google Analytics usage Mobile and/or retail industry experience, including subscription data models At least 5 years CRM experience or 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 recommendations to both technical and non-technical audiences. ● Experience in SQL and hands-on experience with data warehouses/lakes/lakehouses (Snowflake, Databricks, Redshift, etc.). Experience with dbt is a plus. ● High proficiency in data modelling, either through university projects or your first role, you are familiar More ❯

teams, including marketing, sales, and capability units, to ensure the successful delivery of Insights & Data solutions. Technology Cloud Data Platforms, including AWS, Azure, GCP, Databricks, and Snowflake Data Quality, Data Integration, and Master Data tools, including Informatica. Generative AI technologies, including Open AI, Hugging Face, and Anthropic Your skills and More ❯

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 More ❯