226 to 250 of 268 Remote/Hybrid Databricks Jobs

actively investing in taking that capability further. You'll inherit a high-performing team, executive sponsorship, a significant portfolio of opportunities, and an advanced Databricks platform that is central to our data and AI strategy. This isn't about proving the value of data science. It's about scaling it. … World-Class Platform to Build Upon We've already invested heavily in our data foundations. Our Data Science capability is built on a modern Databricks Lakehouse platform, enabling large-scale machine learning, optimisation and advanced analytics across the business. You'll work closely with Data Engineering to continue evolving ...

architecture review and approval processes. This engagement offers the opportunity to influence the design of a modern cloud-native data platform built around AWS, Databricks and Enterprise Data Governance principles. Skills and Experience: Essential Proven experience operating as an AWS- focussed Data Platform Architect, Cloud Architect, Security Architect or Enterprise … Amazon S3 storage strategies, including Bronze, Silver and Gold data layer architectures. Experience designing scalable data ingestion, integration and orchestration solutions. Strong understanding of Databricks architecture and data engineering patterns. Experience developing enterprise architecture documentation and supporting architecture governance processes. Strong understanding of Data Governance, security and operational best practice. ...

Data Engineer (Databricks) - 6 Months - Fully Remote - £400pd Inside IR35 A leading organisation is looking for a Data Engineer to join them on an initial 6-month contract . Working as part of a busy data team, you'll be responsible for supporting and enhancing critical data pipelines, ensuring … reliable delivery of key data products while contributing to ongoing modernisation and automation initiatives. Key Skills: Databricks Python SQL ETL/Data Pipelines AWS Data Quality & Reconciliation Production Support & Incident Management Automation & Process Improvement The Role: You'll be responsible for: Supporting and monitoring production data pipelines Investigating and resolving ...

Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm’s strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS.The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership … processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled.* As platform landscape evolved towards cloud-native, AI enabled ...

Senior Quantexa Data Engineer - Manchester/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - Birmingham/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - Leeds/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - London/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Consulting Limited is seeking a Technology Architect with deep expertise in Databricks to lead data engineering and cloud transformation initiatives. The ideal candidate will have over 12 years of experience and will be responsible for defining scalable architectural solutions and guiding engineering teams. The role focuses on designing data platforms … using Databricks Lakehouse architecture and optimizing ETL pipelines. Ideal candidates are expected to evaluate technologies and implement best practices while ensuring data governance. This is a hybrid role with 3 days in the office per week. #J-18808-Ljbffr ...

Developer/Senior Developer - Azure Data Platform/DataBricks Location: Leicester (Hybrid: 3 days per week in-office) Contract Type: 12-Month Fixed Term Contract Job Schedule: Full-time The Opportunity We are seeking a skilled Developer/Senior Developer to join a rapidly expanding Business Intelligence Systems team ...

Citi Belfast is seeking an experienced Data Engineering Lead to drive cloud-native data services and Databricks adoption. You will lead Spark/Scala implementations, AI-enabled analytics, and scalable data platforms on AWS, aligning with enterprise standards and governance. You will mentor engineers, coordinate with senior leaders, and guide ...

numbers right. You'll be: Designing and building the dashboards that leadership actually relies on Working directly with stakeholders Pulling data together from Databricks and other cloud sources into reliable pipelines Spotting trends and flagging what matters before anyone has to ask Partnering with data engineering to keep everything joined … gaps and pushing for better data at the source To Be Considered: Solid hands-on Power BI experience - building, not just consuming Comfortable with Databricks or similar cloud platforms (Synapse, Snowflake, that world) Strong SQL A good handle on data modelling and getting dashboards to actually perform Confidence presenting insights ...

techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption … general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication ...

that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume data, designing solutions … read/write patterns, scalability, and performance. Deliver cloud‐native data solutions – architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring – mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions ...

Cognizant is seeking a Data Platform Architect to design a Databricks Lakehouse on AWS, shaping the enterprise data platform for public sector initiatives. The role collaborates with data engineers, cloud architects, and governance teams to ensure scalable, secure analytics capabilities. London-based hybrid work with security-clearance considerations. The ideal … candidate brings extensive Databricks, AWS, and governance experience, along with a track record in regulated environments and strong #J-18808-Ljbffr ...

Aimpoint Digital is seeking a fully remote Databricks Solution Architect to engage with clients and help shape the future of AI on Databricks. You will deliver complex AI solutions, provide technical leadership, and create thought leadership content to support our business growth. The ideal candidate possesses extensive consulting experience, strong ...

Title: Data Architect (AWS/Databricks) - Insurance Domain Location: London, UK (Hybrid) Experience: 12+ Years Role Summary: We are seeking a highly experienced Data Architect to lead the design and delivery of enterprise-scale cloud data platforms using AWS, Databricks, and MongoDB. In this role, you will drive cloud data … teams, and executive stakeholders. Mentor data engineers and technical project teams. Required Skills & Domain Expertise: Mandatory Technical Skills: Extensive background in Data Architecture, AWS, Databricks, and MongoDB. Industry Experience (Must Have): Deep understanding of UK Speciality Insurance and Reinsurance. Regulatory Knowledge: Strong familiarity with FCA & PRA Regulations, and Solvency ...

data pipelines and act as a technical leader within the data engineering team. You’ll work on cloud‐native solutions built on Azure and Databricks, making key decisions around data processing, modelling, and performance. Alongside hands‐on delivery, you’ll help set best practices, support other engineers, and influence … data engineering is done across the organisation. Skills & Experience Strong hands‐on experience with Azure data platforms Advanced SQL skills Commercial experience using Databricks and PySpark Proven background building and maintaining scalable data pipelines #J-18808-Ljbffr ...

insights to stakeholders across supply chain, logistics and operational teams. Building and enhancing reporting and visualisations using Power BI. Working with large datasets within Databricks and SQL-based environments. Partnering with stakeholders to understand business challenges and provide data-led recommendations. Translating technical findings into clear and meaningful insights … skills with the ability to interrogate and manipulate large, complex datasets. Experience using Power BI to create impactful reporting and visualisations. Exposure to Databricks or similar modern data platforms. Strong stakeholder management and communication skills. Experience delivering insights within project or transformation environments. Ability to work independently and provide ...

developer experience enablement, with a strong focus on CI/CD transformation (Azure DevOps to GitHub), platform tooling, and data platform integration (Snowflake, Databricks). You will act as a subject matter expert (SME) across DevOps tooling, automation, and platform reliability—driving best practices, standardisation, and self‐service capabilities … Veracode (application security), embedding security controls into pipelines and platform services. Enable and support DevOps practices for core data platforms, including Snowflake and Databricks, covering environment provisioning, CI/CD integration, and access‐control models. Implement observability frameworks, including monitoring, logging, and alerting, and contribute to SRE practices such ...

review meetings, escalating high-risk models and producing governance metrics for risk committees and regulators• Build model governance tooling: integrating MLflow, Azure ML or Databricks with governance workflows, automated testing and regulatory reportingRequired Skills & Experience:• 7+ years of model risk management, quantitative risk or ML engineering experience• Deep understanding … Hands-on Python skills: you can read model code, run validation analyses and build monitoring scripts — not just review documentation• MLflow, Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical knowledge: model validation methodology ...

consistent ways of working and repeatable approaches Drive adoption of machine learning solutions ensuring sustained client value Build strong relationships with partners such as Databricks Pega and Adobe and contribute to client account growth Line manage team members supporting performance development and wellbeing Contribute to recruitment strategy and scaling … business problems into data modelling and decisioning solutions Strong understanding of modern data science tooling and ecosystems such as Python R SQL MLOps and Databricks Commercial awareness with the ability to identify and shape high value use cases Excellent stakeholder engagement skills including working with senior and C suite clients ...

team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate with Modelling, Optimisation, and Street Pricing teams to ensure solutions … techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. ...

wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack – coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building – but the firm’s AI strategy is platform‐agnostic. You will be expected to evaluate, learn … time, change failure rate, time to restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape – coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA ...

wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack—coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building— but the firm’s AI strategy is platform‐agnostic. You will be expected to evaluate, learn … time, change failure rate, time to restore), survey‐based signals (focus time, perceived effectiveness), and adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape—coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA ...