13 of 13 Remote/Hybrid Databricks Jobs in Central London

visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power ...

3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding of deployment or MLOps best practices ...

mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining ...

software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would ...

data platform patterns. Strong experience with cloud-based analytical platforms such as Snowflake or equivalent modern data platforms (e.g. Fabric, Databricks) and understanding where they fit within a wider solution. Practical experience designing and implementing data pipelines, covering ingestion, transformation, modelling, and consumption using SQL-first and cloud-native approaches. ...

5+ years as a Data Engineer or similar role. Strong SQL and data modeling skills. Hands-on experience with cloud data warehouses (Snowflake, BigQuery, Databricks). Proficiency with ELT tools (dbt, Fivetran, Matillion) and orchestration frameworks (Airflow, Prefect). ...

experience in a Head of Data , Data Director , or similar leadership role. Strong background in data engineering, architecture, and analytics . Expertise in Azure , Databricks , and Snowflake (experience with GCP or AWS is a bonus). Familiarity with modern data stack and best practices for data governance. Excellent stakeholder management ...

Analytics, Cloud, or Digital Services Proven experience selling consulting or managed services High-level understanding of data engineering, analytics, and cloud platforms (e.g. Snowflake, Databricks, Azure, AWS) Strong communication, negotiation, and stakeholder management skills Desirable Experience selling into UK enterprise or mid-market clients Exposure to pre-sales and offshore ...

optimisation frameworks/solvers. Strong reasoning about constraints, feasibility, objective design, and numerical optimisation. Experience working with SQL and data-engineering environments such as Databricks or Spark. Ability to design, test, deploy, and maintain production-grade optimisation systems. Desire to become an expert in all facets of the energy systems ...

seeking a Databricks Implementation Consultant/Architect for an initial 4-6 weeks contract. The primary objective of this role is to assess and recommend the optimal cloud platform (Azure or Google Cloud Platform) for implementing Databricks. This will involve a detailed evaluation of both platforms against analytical requirements, cost … recommendation for senior stakeholders Role Overview You will lead a comprehensive Cloud & Data Platform Assessment focused on defining a future-ready architecture and positioning Databricks as the core analytics layer. This role requires deep expertise in Databricks implementations across Azure and Google Cloud Platform (GCP). Cloud & Data Platform Assessment ...

pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability … using Azure Data Lake Storage. Implement governance and security measures across the platform. Leverage Terraform or similar IaC tools for controlled and reproducible deployments. Databricks Development Develop and optimise data jobs using PySpark or Scala within Databricks. Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake ...

routing, DNS, VPNs, and network security concepts is also essential. Practical experience of managing Azure Key Vault (network-restricted vaults, policies, integrations) & Azure Databricks (VNet injection, private endpoints, secure data access) is required for this role. You will ideally be a Microsoft Certified: Azure Solutions Architect. Please apply ASAP ...

office Farringdon, paying up to £110,000 plus benefits. The Mission Own the Strategy: Design the architecture for ingestion, storage, and governance (moving to Databricks/Azure ). Build from Zero: Act as the most senior hands-on developer, writing production-grade Python/Spark code for core pipelines. Create … best practices. Your Toolkit Expertise: 7+ years in Data Engineering with experience in a Lead or Principal capacity. Tech Stack: Deep knowledge of Databricks and the Azure ecosystem (ADF, Synapse, Cosmos DB). Coding: Expert-level Python and SQL ; experience with Terraform and containerization. Complexity: Comfortable handling scientific, geospatial ...