651 to 675 of 762 Databricks Jobs

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 ...

segmentation, recommendation engines and experimentation frameworks that support business decision-making. Data Engineering & Model Productionisation: Develop robust analytical datasets and machine learning pipelines using Databricks, Python, SQL and Spark, ensuring solutions are scalable, reliable and production-ready. Stakeholder Partnership & Commercial Impact: Partner with business stakeholders to define hypotheses, success measures … advanced analytics solutions within commercial environments. Python, SQL & Data Platform Expertise: Advanced Python and SQL skills, with experience building reproducible machine learning workflows using Databricks, Spark or similar large‐scale data processing technologies. Machine Learning & Statistical Expertise: Deep understanding of supervised and unsupervised machine learning, feature engineering, model evaluation, experimentation ...

Kubrick is seeking a Senior Manager Databricks Engineer in Greater London to lead the delivery of data/ML platforms. You will mentor teams, influence stakeholders, and contribute to Kubrick’s growth across various industries. The role requires strong expertise in Databricks, cloud platforms, and exceptional Python and SQL skills. ...

focused delivery partner rather than a time-and-materials augmentation provider Bringing deep, current expertise in cloud-native and serverless data platforms, including AWS, Databricks, Snowflake and/or BigQuery Applying regulated-industry delivery experience across data governance, platform resilience, audit and compliance constraints Representing Optima at industry events … industries Ability to discuss architecture decisions in detail and assess technical trade-offs credibly Working knowledge across major cloud and data platforms including AWS, Databricks, Snowflake and Big Query Deep data engineering and platform credibility, with a working understanding of data science, generative AI and agentic AI Exposure ...

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 ...

N Consulting Limited is looking for a Data Engineer (Python Enterprise Developer) to work in a hybrid model with 4 days a week in London, Canary Wharf. The ideal candidate will have 8+ years of ...

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 ...

Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI . You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives. … will demonstrate our builder culture to the highest standards. At Databricks, we believe in “show, not tell”, and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will ...

seeking a Senior Manager – Databricks AI & Data Client Solutions Lead in London (Hybrid) to scale our Databricks-led AI and Data business. The role combines consulting, technology delivery, and strategic alliances, with responsibility to shape solutions, lead delivery, and drive revenue growth. Applicants should bring deep Databricks expertise, data platform ...

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 ...

within the electricity, energy or wider utilities sector would be highly desirable, particularly where the candidate has worked within a regulatory environment. Experience with Databricks and Genie AI implementation , alongside working within a product-led and Agile delivery environment . Key Responsibilities Lead business requirements gathering activities across business … technology change initiatives. Support Databricks and Genie AI implementation initiatives, including requirements gathering and stakeholder engagement. Work closely with stakeholders to understand business needs, challenges and objectives. Gather requirements and work effectively within a product-led environment , supporting product teams in defining business needs and outcomes. Facilitate effective workshops with ...

exposure to data engineering and enterprise data platforms, but these are not pure data candidates. Candidates should have experience with technologies such as Snowflake, Databricks, SQL and Python, alongside an understanding of on-premise lakehouse architectures, data architecture and enterprise systems. As with all of our Tech Lead hires … actively adopting AI within software engineering environments and are comfortable using AI tooling to improve delivery and productivity. Strong engineering foundation Python Snowflake Databricks SQL Comfortable being hands-on in code when needed (e.g. CI/CD, Terraform, Kubernetes) Proven experience leading teams and mentoring engineers Clear, articulate communicator with ...

respected AI consultancy is looking for a Cloud Engineer They are a specialist data and AI consultancy that helps businesses maximize value using the Databricks platform. They design data strategies, build modern cloud data lakehouses, deploy autonomous AI and generative agents, and create governance frameworks to turn raw data into … professionals to join them Essential Skills & Experience 5+ years' experience in Data Engineering Extensive experience with both Terraform and Terragrunt deploying data platforms (preferably Databricks Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling ...

globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business and holds a seat on our board. Our engineers have access to the latest AI tools and models, partner … presence - writing, speaking, or community contribution in the software engineering or AI tooling space Experience working alongside or within partner ecosystems such as Anthropic, Databricks, or AWS Why Indicium AI Access to leading AI Labs Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks ...

consulting or client-facing environment. Strong understanding of Generative AI, LLMs, AI Agents and Retrieval Augmented Generation (RAG). Experience with Microsoft, AWS, Databricks or Anthropic AI technologies. Experience designing enterprise architectures, platforms and operating models. Strong knowledge of AI governance, security and responsible AI principles. Excellent stakeholder management, workshop … Industry Keywords AI Governance Responsible AI Principles Platform Engineering DevSecOps Central Government Experience Tools & Technologies Microsoft 365 Copilot Azure OpenAI Claude Enterprise AWS Bedrock Databricks #J-18808-Ljbffr ...

validate solutions Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive the following ...

validate solutions Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive the following ...

validate solutions Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive the following ...

validate solutions Logging, tracking and managing defects through to resolution Contributing to testing strategies, quality frameworks and continuous improvement initiatives Supporting testing activities within Databricks and PySpark environments SKILLS AND EXPERIENCE The successful Data QA Engineer will have the following skills and experience: Experience in a Data QA, Software Testing … Quality Assurance role Strong experience testing data platforms, pipelines and data products Hands-on experience with Databricks, SQL, Python and PySpark Strong stakeholder communication and collaboration skills Able to work independently and take ownership of testing activities and quality standards BENEFITS The successful Data QA Engineer will receive the following ...

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 ...