17 of 17 Databricks Jobs in Central London

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

implementing complex data-matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform ...

substantial leadership experience, and a proven track record of designing and operating enterprise-scale data platforms. Strong experience across cloud data architecture, Snowflake/Databricks/BigQuery, SQL, Python, data modelling and modern data engineering practices is essential. Experience across AI/ML, knowledge graphs, unstructured data, SaaS or customer ...

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 ...

Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits … plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape ...

About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to ...

Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata … security throughout the data lifecycle. Experience Required Strong commercial experience working within Azure data environments. Hands-on experience with Azure Data Factory, Azure Databricks and Azure SQL/SQL Server. Strong SQL and Python skills. Previous experience working within Financial Services environments (Banks/Insurance/FinTech) Good understanding ...

frameworks. Excellent understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems ...

experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong ...

modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse, and Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster insights. Key Responsibilities: - Develop … agile environment. Collaboration With: - Data Engineers, Architects, Product Owners, Test Analysts, and BI Teams. Skills & Experience: - Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.). - Strong SQL and experience with data warehousing (Kimball methodology). - Programming skills in Python, Scala, or PySpark. - Familiarity with Power BI, SharePoint, and data ...

support business decision-making across Financial Advice Services, Marketing, Operations, Risk, and other key business functions. Operating in a modern cloud-based environment leveraging Databricks, AWS, and Infrastructure as Code, the successful candidate will lead a team of data engineers while partnering closely with Product Managers, Data Analysts, Architects … takes Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). Ability to analyse complex performance issues and provide actionable recommendations. Strong scripting skills (e.g., Python, JavaScript) for test automation and data analysis. Knowledge ...

modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse, and Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster click apply for full ...

Strong understanding of Generative AI, Agentic AI, Machine Learning and Data Analytics. Experience working with enterprise data platforms and modern analytics environments. Knowledge of Databricks, Data Lakehouse and cloud-based data platforms. Experience delivering AI-driven products and solutions within large organisations. Strong stakeholder management, facilitation and communication skills. Experience … Strong understanding of Agile delivery methodologies and product management practices. Desirable Skills Experience with Microsoft Copilot, GitHub Copilot and Azure AI Foundry. Knowledge of Databricks Mosaic AI and MLflow. Experience delivering RAG, AI Agent and Knowledge Assistant solutions. Background in Management Consulting or Digital Transformation. Experience working across Data Engineering ...

Data Engineer (SC Cleared) - Core Cloud Databricks Rate: £570 per day (Inside IR35) Location: Hybrid - 2 days per week in London Clearance: Active Security Check (SC) clearance essential About the Role We are seeking an experienced Data Engineer with strong Databricks expertise to support a major cloud migration programme … testing of new pipeline technologies through Alpha and Beta phases. You will play a key role in designing and implementing an Alpha deployment of Databricks within the new AWS environment, helping to establish the foundations for modern, scalable data pipeline technology. Key Responsibilities Design and implement an Alpha deployment ...

Our client is a leading British bank. Join us at our client as an Integrated Financial Crime Model Developer. You will design, build and deploy machine learning models that support scalable, high quality financial crime ...

Data Engineer (SC Cleared) - Core Cloud Databricks Rate: £570 per day (Inside IR35) Location: Hybrid - 2 days per week in London Clearance: Active Security Check (SC) clearance essential About the Role We are seeking an experienced Data Engineer with strong Databricks expertise to support a major cloud migration programme ...