5 of 5 Databricks Jobs in Aberdeen

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

with data engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp ...

into powerful insights that shape strategic decisions and drive business transformation. Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and PowerBI to build robust, scalable, and future-proof end-to-end data solutions. Design and implement efficient ETL and ELT pipelines, ensuring seamless integration … principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ...

effectively. What We're Looking For 5+ years of software engineering experience, partially focused on LLM/AI solutions. Experience with python notebooks in Databricks (or similar tech stack) is essential Strong hands-on experience with LLM SaaS providers (OpenAI, Claude, Gemini). Demonstrated expertise and managed services within cloud ...

solutions for driving change in specific vertical industries. The role will combine leading edge Data and AI solutions focused on (and not limited to) Databricks, Snowflake and Data Cloud on Cloud providers, and with your deep domain expertise to create innovation and thought leadership opportunities. A sales professional … clients think through challenging business opportunities. Demonstrate an understanding of a client's business and use of leading Data Platform (specifically focused on GCP, Databricks, Snowflake), AI, LLM technologies to craft transformational value propositions for the clients. Proactively create, identify, and develop opportunities for GenAI/AI solutions. Provide domain ...