276 to 300 of 352 Remote Databricks Jobs

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. … You'll be primarily working with advanced SQL with Databricks in A... More ❯

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. … You'll be primarily working with advanced SQL with Databricks in A More ❯

on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high-volume model serving (10M+ customers, 1.2M+ product variants) to real-time performance. MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD … core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version control and building CI/… for optimisation) Familiarity with low-latency data stores (e.g., CosmosDB ). If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack, please email: with your CV and contract details. Desired Skills and Experience MLOPS GIT MLFlow Spark Python SQL GCP DevOps CICD More ❯

on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high-volume model serving (10M+ customers, 1.2M+ product variants) to real-time performance. MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD … core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version control and building CI/… for optimisation) Familiarity with low-latency data stores (e.g., CosmosDB ). If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack, please email: with your CV and contract details. More ❯

Databricks Data Engineer | London | £50,000 - £70,000 🧱 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Data … in Databricks. We are looking for: Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering … certifications Databricks certifications What's in it for you: 📍Location: London (Hybrid) 💻Remote working: Occasional office visits each month 💰Salary: £50,000-£70,000 DOE 🤝Collaborative culture and great team support 📈Vast L&D opportunities both internally and externally More ❯

Databricks Data Engineer | London | £50,000 - £70,000 🧱 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Data … in Databricks. We are looking for: Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering … certifications Databricks certifications What's in it for you: 📍Location: London (Hybrid) 💻Remote working: Occasional office visits each month 💰Salary: £50,000-£70,000 DOE 🤝Collaborative culture and great team support 📈Vast L&D opportunities both internally and externally More ❯

heavily in their digital transformation journey. As part of this growth, they are looking to bring on a Data Engineering Lead to shape and optimise their hybrid Azure/Databricks data platform. This is a strategic and hands-on role where you will lead the development of scalable data solutions and mentor a team of BI Developers and Engineers. You … you will be responsible for: Leading a technical team to deliver dashboards and data products aligned with business needs. Designing and developing robust data pipelines using Azure Data Factory, Databricks, and SQL. Architecting a scalable, high-performance data infrastructure using medallion architecture principles. Optimising hybrid cloud environments for performance, scalability and cost-efficiency. Implementing data governance, quality standards, and security … protocols. Translating technical concepts into actionable insights for stakeholders across the business. To be successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some More ❯

heavily in their digital transformation journey. As part of this growth, they are looking to bring on a Data Engineering Lead to shape and optimise their hybrid Azure/Databricks data platform. This is a strategic and hands-on role where you will lead the development of scalable data solutions and mentor a team of BI Developers and Engineers. You … you will be responsible for: Leading a technical team to deliver dashboards and data products aligned with business needs. Designing and developing robust data pipelines using Azure Data Factory, Databricks, and SQL. Architecting a scalable, high-performance data infrastructure using medallion architecture principles. Optimising hybrid cloud environments for performance, scalability and cost-efficiency. Implementing data governance, quality standards, and security … protocols. Translating technical concepts into actionable insights for stakeholders across the business. To be successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some More ❯

heavily in their digital transformation journey. As part of this growth, they are looking to bring on a Data Engineering Lead to shape and optimise their hybrid Azure/Databricks data platform. This is a strategic and hands-on role where you will lead the development of scalable data solutions and mentor a team of BI Developers and Engineers. You … you will be responsible for: Leading a technical team to deliver dashboards and data products aligned with business needs. Designing and developing robust data pipelines using Azure Data Factory, Databricks, and SQL. Architecting a scalable, high-performance data infrastructure using medallion architecture principles. Optimising hybrid cloud environments for performance, scalability and cost-efficiency. Implementing data governance, quality standards, and security … protocols. Translating technical concepts into actionable insights for stakeholders across the business. To be successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some More ❯

lead stakeholder communications, and shape processes that keep the platform running smoothly and efficiently. Key Responsibilities Maintain day-to-day stability and performance of the Azure data platform (Synapse, Databricks, ADF, Power BI). Act as the primary contact for incidents and outages — driving resolution, root cause analysis, and clear communication. Define and enforce SLAs for critical pipelines, datasets, and … strategy with business goals. Skills & Experience Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI . Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Calm under pressure with strong problem More ❯

Years min Job Description: You will be responsible for: • Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks • Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs. • Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing … including data flow diagrams, technical specifications, and processes. You Have: • Proficiency in Python programming, including experience in writing efficient and maintainable code. • Hands-on experience with cloud services, especially DataBricks, for building and managing scalable data pipelines • Proficiency in working with Snowflake or similar cloud-based data warehousing solutions • Solid understanding of ETL principles, data modelling, data warehousing concepts, and More ❯

APIs, data engineering and enterprise connectivity; with hands-on experience in troubleshooting, DevOps, and cross-platform integration. Key responsibilities: System Integration & Architecture - Design and implementation of solution integrations across Databricks, ServiceNow, SAP, Snowflake, and Mulesoft. - Architect containerized applications with secure connectivity to backend services. - API development and integration testing across cloud (and on-premises) environments. Application Development & Deployment - Oversee the … pipelines using Azure DevOps. Access & Security Management - Implement authorization code flows and manage access tokens for user profile extraction. - Coordinate with cloud engineering teams to provision secure access to Databricks Mosaic AI and other services. Collaboration & Leadership - Work closely with stakeholders, architects, developers & DevOps teams. - Mentor junior engineers and contribute to cross-functional upskilling programs. - Participate in strategic planning for … and deployment blockers. -Troubleshoot integration failures and lead resolution efforts with internal and external stakeholders. Your Profile Essential skills/knowledge/experience: Strong proficiency in Azure Data Services, Databricks, Snowflake, ServiceNow APIs, SAP connectors, Mulesoft, RESTful APIs, OAuth2, SQL, Python, .NET, NodeJS Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines). Proven track record in system More ❯

system landscapes (MDM, CRM, ERP, Cloud DWH) through pragmatic and scalable architectural blueprints. Cloud Data Platform Leadership Design and implement high-performance cloud data platforms (AWS, Azure, Google Cloud, Databricks, Snowflake), overseeing data modelling, integration, transformation, and DevOps pipelines. Integrated Solution Architecture Design seamless integrations between cloud data platforms, AI/GenAI platforms, and business-critical systems (e.g., MDM, CRM … 4+ years as a Data Architect , leading design and implementation of complex cloud-based data ecosystems. Solid engineering background with hands-on data platform implementation experience (AWS, Azure, GCP, Databricks, or Snowflake). Proven ability to evaluate data architecture decisions, influence business and IT stakeholders, and define strategic data direction. Strong understanding of coding best practices , code quality tools (e.g. More ❯

data and analytics can help drive ongoing strategy, improve our propositions, and deliver more efficient marketing. The Analytics Manager is expected to be comfortable both being hands-on in DataBricks and Power BI, executing analytics and helping build reporting, as well as communicating with the wider business to scope the right approaches to answering business questions, as well as cascading … Essential) Proven advanced Excel (Essential) Experience of Alteryx or similar data analytics tool (Strongly Preferred) Experience of managing & mentoring a team (Strongly Preferred) Customer data architecture knowledge and ideally Databricks experience (Strongly Preferred) Campaign planning and data selection execution experience (Preferred) Other desirable experience: Digital/Product/Category Analytics; Online/Offline Attribution; Marketing Segmentation; Propensity Modelling. Personal Qualities More ❯

COMPANY When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that More ❯

at a time of significant technical modernisation. The team is about to embark on a greenfield project to build a futureproof data warehousing platform using Azure Data Factory and Databricks, with a clear focus on scalability, quality, and best practice.Working within a specialist Data Platform & Engineering team, you’ll join as the expert within Azure Databricks. You'll help to … upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will be pivitol in shaping the architecture. This is an ideal role for a Senior Data Engineer ready to step into … or an established architect keen to take ownership of a highly visible and strategic data platform project.What you’ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and More ❯

at a time of significant technical modernisation. The team is about to embark on a greenfield project to build a futureproof data warehousing platform using Azure Data Factory and Databricks, with a clear focus on scalability, quality, and best practice. Working within a specialist Data Platform & Engineering team, you ll join as the expert within Azure Databricks. You'll help … to upskill our teams knowledge of Databricks, get involved in data modelling and ETL pipeline development, integrations, and performance tuning. This is an ever evolving project as the business becomes more and more data driven and your knowledge of Databricks will be pivitol in shaping the architecture. This is an ideal role for a Senior Data Engineer ready to step … an established architect keen to take ownership of a highly visible and strategic data platform project. What you ll be doing: Leading the design and implementation of a new Databricks-based data warehousing solution Designing and developing data models, ETL pipelines, and data integration processes Large scale data processing using PySpark Monitoring, tuning, and optimising data platforms for reliability and More ❯

Data Engineer (Databricks) Location: London (Hybrid - 2 days onsite and 3 days from home ) Type: Permanent Note: No sponsorship available Represented by: Robert Half Limited Our client is a fast-growing tech business building a modern data platform click apply for full job details More ❯

the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. You will be responsible for strategic & technical Leadership and will help shape and evolve the BI and data platform strategy to meet business, compliance, and care objectives. … experience in BI architecture/management and team leadership Deep expertise in Azure BI architecture and cloud services Extensive hands-on experience with Azure Fabric, SQL warehousing, Data Lakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities The role will be hybrid working based in Birmingham More ❯

candidates. The Opportunity You'll play a key role in shaping and delivering the technical strategy behind a modern, cloud-native, real-time data platform. From Kafka pipelines to Databricks orchestration, this is a chance to work on high-scale systems powering real-time insights across the business. What We’re Looking For The ideal contractor will bring a strong … hands-on engineering. Specifically, you’ll have: Proven experience as a Senior Data Engineer, focused on real-time, distributed systems Deep expertise with modern streaming tools: Kafka, Flink, Spark, Databricks Strong cloud-native data architecture experience (AWS, GCP, or Azure) Solid understanding of streaming vs. batch processing paradigms Experience defining technical strategy and creating actionable roadmaps Familiarity with broader data More ❯

RANGE : 60 - 68/hour JOB NUMBER: 223124 REQUIRED EXPERIENCE: Minimum Qualifications: 5+ years a development manager/technical project manager years as a 5+ developer Excellent knowledge of: Databricks, Python, CI-CD Pipelines Good knowledge of Jira, Git, SonarQube, Excel Excellent communication and organizational skills Self-motivated and driven Nice to have: o Harness, and Azure Devops o Be … multiple DevOps Platforms. o Operations: Coordinate with multiple teams on getting statuses and input files o Analysis and Reporting: Analyze and provide reports for management. • Development: o Work on databricks, sql, python, sonarqube to implement application features o Release: Understand and utilize or devops CICD platform to manage releases in State Street. o Dev Manager: Manage stories and code to More ❯

the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. This role would suit a hands on BI Architect who is looking to progress into a "Head of" role in the next 6 - 12 months, so this … career growth! Skills & experience required: Excellent experience in BI architecture Deep expertise in Azure BI architecture and Cloud services Extensive hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Desirable - Experience managing cross-functional teams and sprint activities Benefits: Generous and achievable bonus scheme 4% Pension More ❯

optimise customer retention, product quality and speedy and efficient delivery to the customer. Initially you'll be responsible for migrating the current on-premise data platform to Azure using Databricks; you'll collaborate with the Head of Digital and AI to modernise the current Data infrastructure and monetise the data available, working with senior business stakeholders to deliver tangible business … You are an experienced, senior Data Engineer/Architect with data architecture skills and experience within an eCommerce environment You have a strong knowledge of Azure, ideally also with Databricks experience You have a good knowledge of SQL databases, data pipelines, Data Warehouses You're collaborative and pragmatic with great communication and stakeholder management skills You have an interest in More ❯

designing metadata-driven ingestion and transformation pipelines. Hands-on experience with Master Data Management (MDM), data cataloguing, and data lineage tracking. Advanced proficiency with Microsoft Azure data services, including Databricks, Azure Data Factory, Azure SQL, CosmosDB, and related technologies. Extensive experience with Microsoft SQL Server, including the design, construction, and maintenance of data warehouses, data lakes, and lakehouses (Databricks strongly More ❯

designing metadata-driven ingestion and transformation pipelines. Hands-on experience with Master Data Management (MDM), data cataloguing, and data lineage tracking. Advanced proficiency with Microsoft Azure data services, including Databricks, Azure Data Factory, Azure SQL, CosmosDB, and related technologies. Extensive experience with Microsoft SQL Server, including the design, construction, and maintenance of data warehouses, data lakes, and lakehouses (Databricks strongly More ❯