51 to 75 of 108 Databricks Jobs in the City of London

into scalable solutions What you bring: Deep experience with Microsoft Azure , particularly around data services Proven track record delivering with tools such as Fabric , Databricks or Snowflake Proficiency in SQL, Python, and modern data engineering patterns Leadership experience within engineering or delivery teams A consultancy mindset - adaptable, curious, and client ...

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 ...

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). ...

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. ...

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 ...

analytics and customer insights critical for business growth, ensure robust security and compliance, and leverage cutting-edge Azure technologies such as Synapse, Data Lake, Databricks, and AI/ML services. The architect will play a pivotal role in enabling data-driven decision-making and modernizing the client’s cloud ecosystem. … senior stakeholders both from client and external vendors Knowledge of Azure PaaS Services: Logic Apps, Azure Functions, App Services, Azure Data Factory (ADF), Azure Databricks, Azure Synapse, Azure SQL DB/DW Data Platform Expertise: Data Lake, Data Warehousing, ETL/ELT pipelines Expertise on DevOps & Automation: Azure DevOps ...

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour ...

nature of the project Essential Skills & Experience 10+ years’ experience in Data Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. … data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performance tuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and NoSQL database technologies, with strong query optimisation ...

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 5 + 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 ...

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 ...

Data Engineering Technical Lead Global Investment Bank London - Hybrid Permanent - Excellent Package + Benefits We are working with one of the world's leading banking groups, who we have partnered with for 15 years. We ...

customer-focused dashboards that power decision-making across the organisation Driving the build-out of automated workflows and data pipelines using cloud tooling (e.g. Databricks, Airflow) and the Microsoft Power Platform Shaping the direction of analytics architecture and ensuring data products align with broader Group standards Empowering store teams with … Apps, Power Automate) Deep knowledge of data visualisation principles and storytelling best practice Confident SQL ability Experience working with cloud analytics platforms such as Databricks, Snowflake, or BigQuery Background delivering automated workflows or pipelines using tools like Airflow or Databricks Previous experience leading teams within agile frameworks, managing priorities ...