51 to 75 of 117 Databricks Jobs in Central London

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. ...

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 ...

compliance of AI systems. Required Skills: Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) Statistical & Multivariate Analysis Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning Supervised Models: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree-Based Models: Decision Trees, Random ...

Databricks Data Engineer Salary: Up to £100,000 I am working with a global consultancy delivering large‐scale data and analytics solutions across high‐impact transformation programs. This role offers the opportunity to work on complex, enterprise‐grade data engineering projects where you will design and build cloud‐based data … pipelines, models and platforms that enable high‐performance analytics and data‐driven decision‐making. As a Databricks Data Engineer, you will play a hands‐on role in developing end‐to‐end data solutions within a modern Azure environment. You will work closely with stakeholders including data architects, analysts, and engineering ...

work with 12-month rolling extensions. Key Attributes: • Software Engineering Concepts • DevOps - Kubernetes/Docker • REDIS/Caching • Azure experience • Data Engineering Concepts • Databricks experience • Expert level Python including asynchronous programming • Front end (Python Panel/AG Grid/React Components) With a focus within Energy Trading, Oil & Gas, Financial ...

deals? In this role, you’ll sell into finance, insurance, retail/eCommerce, and professional services backed by powerhouse partners like AWS, Azure, GCP, Databricks, and Snowflake while shaping and closing complex, high-impact service engagements. With uncapped earnings, double OTE, and soaring demand for AI, cloud, and modernisation services ...

base + 10% bonus • Pension: 5% matched • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed) • Location: Central London • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain/LangFuse • Visa: This role cannot sponsor Interested? Please apply below. ...

working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? Private health and mental wellbeing coverage, including access to counselling and coaching. Salary ...

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range … client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand ...

across the enterprise. 2. Cloud Data Enablement Architect and implement cloud-native data solutions using AWS (Redshift, Glue, S3, Athena), Azure (Synapse, Data Factory, Databricks), or GCP (BigQuery, Dataflow, Pub/Sub). Guide the migration of on-premise data assets to cloud environments, ensuring performance, security, and compliance. Optimize … design . Strong proficiency in SQL, Python, and cloud data orchestration tools . Deep understanding of data warehousing, streaming, and big data ecosystems (e.g., Databricks, Snowflake, Kafka). Preferred: Master’s degree or relevant certifications (e.g., AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate, GCP Professional Data Engineer). ...

Azure data platforms , including ingestion, storage, transformation, analytics, and visualization layers. Build solutions leveraging Azure Data Lake, Synapse Analytics, Data Factory, Databricks, Event Hubs, Stream Analytics, Power BI , and related services. Translate complex business requirements into scalable, cost-efficient, and maintainable Azure data architectures. Create and present high-level … Data Platform Architect with a primary focus on Azure . Hands-on expertise with Azure Data Factory, Synapse Analytics, Data Lake Storage (Gen2), Databricks, Power BI, Event Hubs, and Functions . Strong background in data modeling, data warehousing, and real-time/batch data processing . Experience implementing data integration ...

technology environment What You’ll Work With The platform is built on a Microsoft stack with centrally stored data: Azure Machine Learning Microsoft Fabric Databricks Centralised data lake architecture Microsoft Dynamics CRM AI-powered legal tools focused on due diligence and contract review Nice to Haves Experience working on established ...

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 ...

Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets. Contribute to the design and implementation of scalable data science workflows and best … deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs). Familiarity with generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large, complex organisations or regulated industries. Strong working ...

Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management: Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), monitoring, and retraining of machine learning … model registration, deployment (AKS, ACI), and monitoring. • Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. • Solid understanding of software engineering principles, including version control (Git), testing, and code review. • Experience with containerization technologies (Docker, Kubernetes). ...

based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks . Youll play a key role in ensuring that data 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 of data services. Infrastructure & Architecture Architect and deploy scalable data lake solutions using Azure Data ...

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 ...

Databricks Data Engineer London | Senior Manager | Up to £100K + Bonus Ready to take your data engineering career to the next level? Join a global consultancy on a major transformation project within the insurance domain. This is your chance to work with cutting-edge technologies, influence strategic decisions, and make … strategic decision-making and innovation in the insurance domain. What We're Looking For Proven Data Engineer with 5+ years of hands-on Databricks experience. Insurance domain expertise - essential. Strong background in data management, ETL, and SQL. Familiarity with Azure and Microsoft BI tools. Immediate start No VISA sponsorship. This ...

Pune/US team to migrate from an IaaS Big Data platform to Azure-native Databricks. Responsibilities include: migrating and optimizing 500+ jobs using Databricks optimization techniques, managing 12 TB of data, tuning models for Azure with Java Spark and Delta tables, and addressing vulnerabilities through library version updates. Current … Science, Information Technology, or a related field Worked as a software engineer for ideally 8+ years Experience with Java programming language Proficiency in Spark, Databricks, ETL tools and processes, and APIs. Strong knowledge of SQL and experience with data modeling and database design Strong knowledge of Microsoft Azure, e.g. ...

ALTEN , an engineering and technology consultancy, We are a leading Engineering and IT consultancy operating across 30 countries, making waves in all sectors: Aeronautics, Space, Defence, Security and Naval, Automotive, Rail and mobility, Energy and ...

Senior Azure Databricks Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £110K + Bonus + Benefits Data Engineer - Senior, required for an Energy and commodities trading house, which is one of the worlds largest and most diverse general trading companies. Working with different types of commodities … aligns with long-term objectives. In this Senior Data Engineering role, you’ll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will ...

sales experience with 100%+ quota attainment. Strong consultative selling skills and C-level credibility. Background in high-growth, MEDDIC-style organisations (e.g. MongoDB, Databricks, Snowflake, Zscaler, Palantir or other fast-scaling SaaS businesses). If you feel you have the relevant experience please reply to this advert or email ...

global leading consulting client of ours. You will be working in a high-impact team focused on rebuilding and optimising data pipelines into a Databricks Lakehouse environment, enabling clean, scalable, and high-quality data delivery for analytics and reporting. Key Responsibilities Design, build, and optimise data pipelines using ELT/… best practices Migrate and transform data into a Databricks Lakehouse architecture Ensure data quality, reliability, and scalability for analytics and reporting Collaborate with stakeholders to deliver robust solutions aligned with business needs. Ideal Candidate DV Clearance (mandatory) and must be UK based Ideally 7+ years in Data Engineering Proven ability ...

complex data models, DAX calculations, and warehouse-aligned solutions. Design role-based security models to safeguard sensitive data. Collaborate with data engineering teams and Databricks to source, cleanse, and prepare high-quality data. Data Governance & Quality Implement consistent data definitions, naming conventions, and standards across BI assets. Ensure data accuracy … Power BI , DAX , Power Query , and data modelling. Strong SQL skills and experience with data warehousing/ETL. Experience integrating Power BI with Databricks . Proven ability to deliver large-scale BI solutions in enterprise environments. Knowledge of RLS, multi-environment deployments, Git/DevOps. Confident communicator able to explain ...

management. Collaborate with the Data Architecture function to ensure alignment between the enterprise architecture and the organisation’s data platform, including optimisation of the Databricks environment. Establish and govern non-functional requirements (NFRs) covering performance, scalability, resilience, and disaster recovery. Technical Design & Governance Translate business strategy into an executable architecture … tooling such as Azure DevOps or GitLab CI. Extensive knowledge of the Microsoft Azure ecosystem, covering IaaS and PaaS, with particular experience in Azure Databricks, Data Factory, and ADLS Gen2. Excellent communication and presentation skills, with the ability to influence diverse technical teams. Desirable Experience Background in the insurance, reinsurance ...