251 to 275 of 1,819 Databricks Jobs in England

Senior Databricks Data Engineer | Global Real Estate Investment Manager | London (Hybrid) Marks Sattin is partnering with a global real estate investment and asset management organisation undergoing a significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from … legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This is an opportunity to play a key role in shaping the future of a business-critical data platform used across real estate equity ...

power of analytics and AI, and make better decisions faster. Today, we're at the forefront of delivering solutions built on Microsoft Fabric, Azure, Databricks, Power BI and AI technologies, enabling our clients to turn data into a genuine competitive advantage. Why Coeo? We're more than just technology specialists. … delivery and client engagements. Key Responsibilities Deliver complex Data & AI, analytics and platform modernization projects using Azure data services including Microsoft Fabric and Azure Databricks . Lead client workshops, architecture discussions and technical engagements. Design scalable, secure and governed data platform and analytics solutions. Support sales and pre‐sales activities ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation ( Delta Lake , Medallion architecture ) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

Python and SQL and the ability to write complex SQL queries. Use of GitHub and CI/CD practices. Support development of the Azure Databricks Lakehouse platform, shaping frameworks and solutions that other engineering teams will adopt in future data projects. Build, optimise, and maintain data processing frameworks using Python … deliver approved solutions. Take ownership of requirements, communicate effectively across teams, and deliver high quality solutions. Experience of DevOps and infrastructure deployments (Azure and Databricks). A proactive awareness of industry standards, regulations, and developments. Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering ...

Computer Science, Data/Business Analytics, or a relevant field (or equivalent experience) Exposure to big data processing frameworks such as Spark or Databricks Experience implementing CI/CD pipelines for data or reporting workflows Familiarity with data governance, security, and compliance frameworks Retail industry experience is preferred … modern data engineering practices, including DevOps, CI/CD, and agile delivery methods Exposure to cloud‐based data platforms and distributed data processing (e.g. Databricks, Spark) We are committed to developing your career and nurturing your talent, regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

place where you can grow, belong and thrive.Your day at NTT DATAPrimary Responsibilities• Client Engagement & Delivery• Data Pipeline Development (Batch and Streaming)• Databricks & Lakehouse Architectures• Data Modelling & Optimisation (Delta Lake, Medallion architecture)• Collaboration & Best Practices• Quality, Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders … Data Architect, and Analytics leadershipTo thrive in this role, you need to have:Key Competencies• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.• Strong consulting values with ability to collaborate effectively in client-facing environments.• Hands-on expertise across the data lifecycle: ingestion, transformation ...

place where you can grow, belong and thrive.Your day at NTT DATAPrimary Responsibilities• Client Engagement & Delivery• Data Pipeline Development (Batch and Streaming)• Databricks & Lakehouse Architectures• Data Modelling & Optimisation (Delta Lake, Medallion architecture)• Collaboration & Best Practices• Quality, Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders … Data Architect, and Analytics leadershipTo thrive in this role, you need to have:Key Competencies• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.• Strong consulting values with ability to collaborate effectively in client-facing environments.• Hands-on expertise across the data lifecycle: ingestion, transformation ...

improve day‐to‐day workflows to scale the team output Build a collaborative culture within a rapid‐growth team. To embody and promote Databricks' customer‐obsessed, teamwork and diverse culture Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles Promote a solution … value‐based selling field‐engineering organisation Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in UK&I in partnership with the Marketing and Sales team Lead from the front by engaging directly with key customer stakeholders to ensure and speed ...

RDQ127R176 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform … lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. The impact you will have Lead and grow an engineering ...

improve day-to-day workflows to scale the team output Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles Promote a solution … value-based selling field-engineering organisation Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in UK&I in partnership with the Marketing and Sales team Lead from the front by engaging directly with key customer stakeholders to ensure and speed ...

platform firm to hire an experienced Data Engineer (Mid-Senior) to take end-to-end ownership of a modern data platform built on Azure Databricks, Kafka and with BI-layer. This person would be the primary Data Engineer, maintaining and further developing a well-established cloud and CI/… technical team collaborating closely with platform engineering, data science, and business stakeholders to further develop the synergy between the internal software platform and the Databricks data platform. This role will suits a hands-on Data engineer who is looking to work on interesting Tech, solve data problems, while being ...

Data Products Architect Databricks The Company Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees globally. Cognizant is a member … opportunity to shape one of the most significant public sector data modernization programs in the UK, establishing a modern data product ecosystem on a Databricks Lakehouse platform that promotes data democratization, self-service consumption, and enterprise-wide reuse. About the Role As a Data Products Architect Databricks , you will lead ...

Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers … manage the development and rollout of storage services that host millions of customer databases across dozens of regions, partnering with peer engineering teams across Databricks to co‐evolve Lakebase services with our global infrastructure, and leading operational excellence in the 24/7 operation of our system. The impact ...

modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.## **The Role You Are Considering**As a Data Engineer, you will be an integral part of our team dedicated to building … Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other ...

will ingest, cleanse and model data for BI reporting, ML and AI, ensuring quality and governance. The role emphasizes strong Azure skills (ADF, ADLS, Databricks), PySpark, Python and SQL, with a DevOps and CI/CD mindset. Hybrid work with three days in the office weekly is offered. #J ...

governance standards Requirements 3+ years of relevant experience in data engineer Proficiency in SQL and Python for data engineering Familiarity with cloud data platforms (Databricks, Snowflake, BigQuery) #J-18808-Ljbffr ...

Azure, Terraform, Kubernetes, CI/CD, Linux, automation, DevSecOps and SRE Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering ...

Azure, Terraform, Kubernetes, CI/CD, Linux, automation, DevSecOps and SRE Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering ...

Azure Git/CI/CD Automated testing Data quality and observability Reusable engineering patterns They're particularly interested in people coming from Databricks/PySpark environments, so extensive Fabric experience isn't essential. At Senior level, you'll also have the opportunity to influence architecture, technical design, coding standards ...

Hands-on experience building AI agents and agentic workflows. Strong knowledge of prompt engineering and RAG. Strong Python and SQL skills. Experience with Azure Databricks and/or Microsoft Fabric. Work with Power Platform and Copilot Studio to deliver business automation and AI solutions. Experience building data pipelines and working ...

expectations on data and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau,Databricks, Snowflake, Microsoft Purview, Collibra, Informatica,Claude, Chat GPT,Microsoft Copilot,Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

expectations on data and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

Proactive approach with the ability to work independently and as part of a team. Good communication and collaboration skills. Nice to Have Experience with Databricks . Experience with Apache Kafka . Experience with Kafka Connect . Knowledge of event-driven data architectures and real-time data processing. Key Technologies Diversity ...