876 to 900 of 1,074 Databricks Jobs

design decisions, patterns, standards and trade offsRequirements7 to 10+ years' experience in data platform architecture, data engineering or cloud data infrastructureDeep expertise in Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL) or an equivalent Lakehouse platform, including administration, cost management and performance optimisationStrong understanding of cloud native architecture principles, cost ...

bonus Hybrid Working – 1 day on-site per week East Midlands based I'm working with a business that's investing heavily in its Databricks platform and is looking for someone to take ownership of the analytics layer. You'll play a key role in building and maintaining Gold Layer … with Data Engineering and Data Insights to transform trusted data into semantic models, dashboards and business insights. This is an opportunity to work with Databricks, Unity Catalog and Power BI in a role that combines technical delivery with close collaboration across the business. Key experience: Hands-on experience with Databricks ...

PySpark, Coroutines, async tasks and Unix. Building scalable applications, with intensive risk‐based processing. Package software for distribution (e.g. Docker, Poetry, python‐wheels, PyInstaller, Databricks bundles). Databricks, Data persistence with relational or non‐relational databases. Familiarity with Cloud Data Technologies, especially AWS (ECS, Lambda, S3, EventBridge). Logging patterns ...

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 ...

within a complex technical environment.The role will sit at the intersection of data engineering, software development and data visualisation, with a particular focus on Databricks, SQL, Python and Power BI.You will be responsible for developing and maintaining data models, transforming data from multiple sources and translating business requirements into high … quality data products and reporting solutions. A key part of the role will be developing Power BI dashboards using a conformed data model within Databricks, ensuring that business logic, underlying data and reporting outputs remain fully aligned.You will work closely with wider IT, IIM and IDA stakeholders, helping to drive ...

Senior Data Platform Engineer You’ll help build the backbone of DraftKings’ machine learning capabilities. You’ll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering – working shoulder to shoulder with Data … systems that enable data‐driven decision‐making at scale. What you’ll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost‐efficiency. Build and manage cloud infrastructure using AWS and infrastructure‐as‐code tools like Terraform. Architect and document scalable ...

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 ...

typePermSenior 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)NOIRUKTECHRECNOIRUKREC ...

context. Principal Accountabilities Data model development for change control branch Experience in software development, data engineering, data visualisation Development of PowerBI dashboards drawing on databricks conformed data model Align business requirements, logic implemented in data model and reporting outputs Interface with wider IT, IIM, IDA stakeholders Support upskilling of team … adoption of more data-centric ways of working Databricks development in SQL and Python Knowledge, Skills, Qualifications & Experience Knowledge & Skills Degree in a relevant science or engineering subject or strong technical background preferred Experience within the Nuclear Industry useful but not mandatory Experience in software development, data engineering, data visualisation ...

role is accountable for establishing greenfield data flows, standards, and operating models, enabling faster, better decision‐making through accurate data, integrated views (GA4, Salesforce, Databricks, COGNOS), and scalable insight products (dashboards, attribution, MMM). Act as the primary point of contact for all digital tracking and marketing data issues, ensuring … marketing KPI dictionary and data model; steward the single source of truth. Define data pipelines between martech platforms and enterprise solutions (Salesforce, COGNOS, Databricks). Set QA/alerting SLAs, prioritise analytics backlog. Advise on experimentation, attribution and MMM, recommend budget reallocations based on evidence.Key Responsibilities:Design and build ...

greater reliability before evolving towards a more federated, domain-led operating model. You’ll also own the roadmap for the wider data ecosystem, with Databricks at the heart of the target architecture, alongside Power BI and Looker, while driving the rationalisation of legacy platforms and reporting. Key areas of focusL … large, complex organisation. You’ll ideally bring: Experience owning enterprise data platforms and engineering at scale Strong knowledge of modern cloud data environment. Databricks experience would be particularly relevant A track record of improving data governance, quality, lineage and stewardship Experience building data product and self-service analytics capabilities Leadership ...

diverse team! Aufgaben Collaborate with data scientists, analysts, and product owners to build reliable, maintainable pipelines and products Design, build, and operate Databricks pipelines using Python, Lakeflow Declarative Pipelines, and Jobs/Workflows Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases Ensure pipeline … documentation for group-wide use Profil Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience Hands-on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, and Jobs/Workflows Experience with Azure Data Factory, data modeling, performance tuning, and production data systems DataOps mindset: versioning ...

data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance.AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that … experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative ...

data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance.AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that … experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative ...

data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance.AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases that … experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative ...

through Product Owners, architects, engineers and business SMEs; comfortable shaping acceptance criteria, priorities, value measures and handover into production.Practical exposure to Azure data services, Databricks, SQL, Python/Spark, event-based integration and DevOps practices; hands-on engineering experience is beneficial.Degree in a relevant discipline or equivalent experience; Azure Data … Engineer, Databricks or data governance certifications are a plus.What we offerYou bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow ...

Contribute to solution design, including API contracts, service boundaries, integration patterns, and deployment considerations - Collaborate with data engineers to expose data products from the Databricks + AWS platform as secure external services - Work with product owner, architect, and engineers to translate business needs into scalable technical solutions - Support integrations with … Python, TypeScript/Node.js - Strong hands-on experience with AWS and cloud-native service development - Experience with Infrastructure as Code is preferred - Experience with Databricks, data platforms, or data product environments is a plus - Experience with Azure, Alicloud and cross-cloud integration is a plus - Experience in automotive, mobility ...

Product Owners, architects, engineers and business SMEs; comfortable shaping acceptance criteria, priorities, value measures and handover into production.* Practical exposure to Azure data services, Databricks, SQL, Python/Spark, event-based integration and DevOps practices; hands-on engineering experience is beneficial.* Degree in a relevant discipline or equivalent experience; Azure … Data Engineer, Databricks or data governance certifications are a plus.**What we offer**You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills ...

pricing and commercial performance data. Enable measurement of realised price uplift, pricing adoption, discount effectiveness, and commercial outcomes. Design scalable pricing analytics within the Databricks and BI environment. Develop governance and reporting frameworks supporting and executive decision-making. What we’re looking for: Must have skills and experience : 5+ years … Commercial Analytics Data Architecture Data Analysis Business Intelligence Experience designing enterprise-scale data models. Advanced expertise with SQL or similar technologies. Strong experience with: Databricks Salesforce CPQ platforms B2B SaaS or adjacent-industry pricing experience. Experience building leadership dashboards and KPI frameworks. Ability to translate complex data into business recommendations. ...