5 of 5 Databricks Jobs in Nottingham

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 ...

frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

technical solutions into business impact, spotting opportunities others might miss. Energy & curiosity - proactive, problem-seeking, and solutions-focused. The Tech (Flexible) Current stack: R, Databricks, SQL Open to Python and other modern tools - what matters is results. What You’ll Get c£75,000 salary (with some flex ...

Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks' front-office. This is a rare greenfield role that offers the opportunity to solve … many different sectors. What We're Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience in implementing best practices ...

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 ...