51 to 75 of 268 Remote Databricks Jobs

practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS).Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Desired Requirements:Demonstrated record of scientific or technical impact through publications, conference ...

rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, PalantirExperience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLMSearch and ranking experience. For example Elasticsearch or rerankersBackground in time series forecasting, causal ...

feasibility of requests vs. technology constraints. Desirable Requirements: Broad ServiceNow and data platform understanding – Strong grasp of the ServiceNow data model, Azure DataBricks, Google Cloud Platform data service and Performance Analytics structures to guide coherent design across reporting, dashboards, and core platform capabilities. Product leadership for experience and analytics capabilities ...

Databricks Consultant/Data Engineer A technology consultancy client of ours is investing heavily in a dedicated Databricks capability. They need an experienced Databricks contractor to join client-facing delivery, work on high-impact programmes and help set the standard for a new practice. The Role You'll work directly … with clients to design, build and optimise modern data platforms on Databricks and cloud-native technologies. This goes beyond standard engineering: you'll influence delivery standards and contribute to reusable frameworks and accelerators. What You'll Be Doing Building production-grade data pipelines with Databricks, PySpark and SQL Developing Lakehouse ...

architecture and governance experience Agile delivery leadership Excellent stakeholder management and communication skills Experience leading offshore or distributed teams Hands-on technical credibility Desirable: Databricks AI/ML platforms and workflows Agent-based AI solutions Backend or full-stack engineering exposure What They Offer Up to £135,000 base salary ...

with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake).Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server environmentThis ...

similar field Excellent Azure experience within enterprise-scale environments Experience supporting and optimising cloud-based data platforms Strong understanding of Azure Data Factory, Databricks and modern data architecture principles Experience with CI/CD, Azure DevOps, Git and Infrastructure-as-Code tools such as Terraform Strong knowledge of Python ...

within tech or SaaS companiesYou are degree educated, Computer Science or similar tech or numerate disciplineYou're collaborative with great communication skillsNice to haves: Databricks, Kafka, Data Governance (GRC)What's in it for you: As a Data Engineer you will earn a competitive package: Up to 95k salaryRemote working ...

Python Lakehouse architecture Stakeholder management at both business, technical levels Running workshops, gathering requirements, shaping solutions Leading complex data transformation projects Experience with Databricks would be beneficial but is not essential. Apply Now This is a rare opportunity to join a growing Microsoft consultancy at a time of significant investment ...

solutions in financial services; experience with Asset Management/Investment Banking is preferred You have strong practical understanding of Azure AI Foundry and Databricks and how governed data platforms support AI, analytics and agentic use cases You have hands-on experience with Microsoft Copilot capabilities including Cowork, Agent Mode, Agent ...

enterprise application, integration, and technology architectures with material experience in business architecture.Strong knowledge of enterprise data platforms, public cloud services (e.g., Amazon Web Services, Databricks, Microsoft Azure, ServiceNow), and application, data, process, service, and system integration toolsets.Experience supporting Master Data Management, Data Governance, and Analytics initiatives.Experience of understanding the value ...

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable.“Nice to Have”Azure, Databricks, Apache Spark or comparable cloud and data platforms.Data pipelines, ETL and workflow-orchestration technologies.Machine-learning methods such as forecasting, prediction or classification.Experience with enterprise platforms ...

Weights & Biases).Demonstrated experience with interpretable AI techniques.What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning.Experience of software engineering in an enterprise environment.The ability to write ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Strong proficiency in Python, R, SQL, or similar tools.· Experience with Databricks, Azure, or other cloud/data platforms is a plus.· Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.· Experience translating data ...

. Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning. Experience of software engineering in an enterprise environment. ...

Analytics Cloud, or SAP BTP certifications. Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries. Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems. Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks. Equal Employment Opportunity ...

Hedge Funds, Private Markets, Multi-Asset, or Derivatives businesses. Experience working directly with Portfolio Managers, Traders, Investment Operations, Risk, and Quantitative teams. Experience with Databricks, Snowflake, Microsoft Fabric, or comparable modern data platforms. Experience with workflow orchestration technologies such as Airflow. Experience implementing Infrastructure as Code using Terraform or equivalent ...

process systems, code generation for analysis, and human-in-the-loop review. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar ...

process systems, code generation for analysis, and human-in-the-loop review. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar ...

Databricks Data Engineer £60,000 This is an opportunity to join a leading Data & AI consulting practice at the forefront of cloud, analytics and artificial intelligence transformation. Working with some of the UK's largest and most recognised organisations, you will help design and deliver enterprise-scale data platforms … analytics, machine learning and AI-driven decision making. You will join a growing team of highly skilled engineers building modern data solutions using the Databricks platform and the latest cloud technologies. As a Databricks Data Engineer, you will play a key role in developing scalable, high-performance data products ...

architectures. Experience designing scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity … insurance functions. Ability to design architectures that support self-service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities: Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption ...

Python/PySpark and Spark SQL in notebooksHands-on experience with Azure data services (Azure Data Factory, ADLS Gen2, Azure SQL, Synapse or Databricks)Solid understanding of data warehousing and lakehouse concepts, Delta/Parquet formats and dimensional modeling (Kimball)Experience with Real-Time Intelligence (Eventstreams, Eventhouse/KQL, Activator … data platforms: Copilot in Fabric, Fabric data agents, Azure AI Foundry, preparing data for retrieval-augmented generation scenariosExperience in migration projects from Synapse, Databricks, Snowflake, SSAS, Tableau or QlikExperience in regulated industries such as finance, insurance, healthcare, energy, manufacturing or the public sectorWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection ...

Technical Lead Databricks Engineer (Azure) | Client Facing | Greenfield | Outside IR35 | Remote UK Technical Lead Databricks Engineer required for a greenfield Azure data platform build. There is no legacy estate and no migration. The end client is a newly formed organisation whose service is expected to operate at national scale following … incoming legislation, so the platform must be engineered for very significant growth. Discovery is largely complete. The platform decision has been made: Azure with Databricks, and Microsoft Purview for governance. You will turn the target architecture into a working platform, setting engineering standards, leading the build and staying hands ...

with strong hands-on data modelling expertise. Proficiency in SQL and Python. Proficiency with a modern cloud data platform such as Microsoft Fabric, Azure, Databricks or Snowflake. Experience setting architecture and standards for both pipeline engineering and data modelling. Desirable Experience in a regulated industry. Previous technical experience with Microsoft ...

Extensive experience as an Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives ...