626 to 650 of 779 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 ❯

and maintaining scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance. Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code reviews, and testing. Research … with efficient, reliable data pipelines that improve time-to-insight. Knowledge of secure, auditable, and compliant data workflows. Know how on optimising performance and reducing costs through Spark and Databricks tuning. Be able to create reusable, well-documented tools enabling collaboration across teams. A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a More ❯

who are a fast-growing and technically advanced multi-award-winning company going through an extended period of growth. Key responsibilities: Design, develop, and maintain data architectures using Azure Databricks and Synapse. Collaborate with cross-functional teams to understand data requirements and translate them into robust architectural solutions. Optimize data workflows and ensure seamless integration with various data sources. Implement … leadership and guidance to the development team. Conduct performance tuning and optimization of data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data … solving skills and attention to detail. Strong communication and stakeholder management skills. Worthing based hybrid opportunity, easily commutable from Portsmouth Hampshire, Guildford Surrey or Brighton, East Sussex. Azure, Synapse, Databricks Brighton, Hybrid (3 days in the office More ❯

data engineering standards across divisions. Collaborate with colleagues in the UK and Europe to unify data models and drive common practices. Troubleshoot and optimise pipelines and processes across Fabric, Databricks, and Azure Data Factory. Partner with engineers, analysts, and business leaders to ensure that data is consistent, reliable, and ready for advanced analytics. Help shape communities of practice and encourage … collaboration across international teams. Bring strategic thinking to how data supports business decisions, not just technical delivery. Key Skills: Deep experience with Azure, including Python, Spark, Azure Data Factory, Databricks, and related tools. Experience with MS Fabric A strategic mindset that can translate business needs into scalable technical solutions. Strong collaboration skills to work with teams in different countries and … Why apply? This is a great opportunity to help define how data is used and governed across an entire business line, with exposure to modern technologies including Microsoft Fabric, Databricks, and cutting-edge data architecture practices. More ❯

data engineering standards across divisions. Collaborate with colleagues in the UK and Europe to unify data models and drive common practices. Troubleshoot and optimise pipelines and processes across Fabric, Databricks, and Azure Data Factory. Partner with engineers, analysts, and business leaders to ensure that data is consistent, reliable, and ready for advanced analytics. Help shape communities of practice and encourage … collaboration across international teams. Bring strategic thinking to how data supports business decisions, not just technical delivery. Key Skills: Deep experience with Azure, including Python, Spark, Azure Data Factory, Databricks, and related tools. Experience with MS Fabric A strategic mindset that can translate business needs into scalable technical solutions. Strong collaboration skills to work with teams in different countries and … Why apply? This is a great opportunity to help define how data is used and governed across an entire business line, with exposure to modern technologies including Microsoft Fabric, Databricks, and cutting-edge data architecture practices. More ❯

MI & Data Integration Analyst (Azure/Databricks) 📍 Hybrid – Central London | 💰 £43,000 pro rata | ⏳ up to 6-month FTC (potential to extend) We’re looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed-term contract . This is a great opportunity for … the Unity Catalog environment. 💼 Key Responsibilities Produce and enhance accurate, timely, and insightful MI reports to support business decision-making. Develop and maintain data tables and integrations within Azure Databricks and the Unity Catalog to enable self-serve data access. Define and deliver process maps for transferring data ingestion from internal teams to offshore partners. Provide hands-on SQL expertise … continuous improvement. Ensure all activity aligns with data governance and confidentiality standards. 🧠 Skills & Experience Strong working knowledge of Azure and related integration tools. SQL proficiency , ideally with experience in Databricks . Proven experience in management information (MI) and reporting — ideally using Power BI and Excel. Comfortable building, testing, and optimising data pipelines or integrations. Excellent communication and stakeholder skills, able More ❯

MI & Data Integration Analyst (Azure/Databricks) 📍 Hybrid – Central London | 💰 £43,000 pro rata | ⏳ up to 6-month FTC (potential to extend) We’re looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed-term contract . This is a great opportunity for … the Unity Catalog environment. 💼 Key Responsibilities Produce and enhance accurate, timely, and insightful MI reports to support business decision-making. Develop and maintain data tables and integrations within Azure Databricks and the Unity Catalog to enable self-serve data access. Define and deliver process maps for transferring data ingestion from internal teams to offshore partners. Provide hands-on SQL expertise … continuous improvement. Ensure all activity aligns with data governance and confidentiality standards. 🧠 Skills & Experience Strong working knowledge of Azure and related integration tools. SQL proficiency , ideally with experience in Databricks . Proven experience in management information (MI) and reporting — ideally using Power BI and Excel. Comfortable building, testing, and optimising data pipelines or integrations. Excellent communication and stakeholder skills, able 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 ❯

external partners to optimise existing systems, with a particular focus on enhancing fan engagement through digital platforms. Key Responsibilities Design and develop ETL/ELT pipelines in Azure and Databricks, ensuring reliability and performance. Construct Kimball-style dimensional models to support analytics and reporting. Implement automated testing for data quality assurance and validation. Ensure compliance with data governance, legal, and … regulatory standards . Collaborate with the wider Data team to optimise pipelines and enhance platform capabilities. Essential Skills & Experience Hands-on expertise with Databricks, PySpark, and Delta Lake . Proven ability to build production-grade ETL/ELT pipelines , including integration with SFTP and REST APIs. Strong knowledge of Kimball methodology within Lakehouse frameworks. Advanced proficiency in Azure data services More ❯

external partners to optimise existing systems, with a particular focus on enhancing fan engagement through digital platforms. Key Responsibilities Design and develop ETL/ELT pipelines in Azure and Databricks, ensuring reliability and performance. Construct Kimball-style dimensional models to support analytics and reporting. Implement automated testing for data quality assurance and validation. Ensure compliance with data governance, legal, and … regulatory standards . Collaborate with the wider Data team to optimise pipelines and enhance platform capabilities. Essential Skills & Experience Hands-on expertise with Databricks, PySpark, and Delta Lake . Proven ability to build production-grade ETL/ELT pipelines , including integration with SFTP and REST APIs. Strong knowledge of Kimball methodology within Lakehouse frameworks. Advanced proficiency in Azure data services More ❯

Duration: 6 months (with possible extension) What you'll do Lead the migration of existing AWS-based pipelines (Airflow, S3, GitLab) into Azure Data Factory. Refactor Python code into Databricks notebooks (PySpark). Develop secure and efficient data integrations using REST APIs and SQL Server. Ensure data quality, traceability, and reproducibility throughout the migration. Collaborate closely with Risk Modelling, Data … to testing, documentation, and knowledge transfer. What we're looking for Proven experience in data engineering and cloud platform migrations . Strong hands-on skills with Azure Data Factory, Databricks (PySpark), SQL Server, REST APIs, GitHub/GitHub Actions . Solid knowledge of Python . Familiarity with AWS components (Airflow, S3, GitLab). Prior experience in banking, finance, or risk More ❯

models and supervised learning approaches within scalable cloud environments. Work with engineering and product teams to embed ML capabilities into production systems. Optimise performance using tools such as AWS, Databricks, and containerisation frameworks. Define best practices for MLOps, monitoring, and version control. Provide technical guidance and education to teams adopting AI tooling. What Youll Bring 5+ years in software/… with production deployment experience. Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark. Proven experience setting up ML pipelines, integrating with AWS/Databricks, and applying CI/CD principles. Solid understanding of time-series forecasting and supervised ML models. Knowledge of cloud infrastructure, IaC (Terraform/CloudFormation), and containerisation. Excellent collaboration and communication More ❯

models and supervised learning approaches within scalable cloud environments. • Work with engineering and product teams to embed ML capabilities into production systems. • Optimise performance using tools such as AWS, Databricks, and containerisation frameworks. • Define best practices for MLOps, monitoring, and version control. • Provide technical guidance and education to teams adopting AI tooling. What You’ll Bring • 5+ years in software … with production deployment experience. • Strong Python background, comfortable across data frameworks like Pandas, NumPy, SciPy, Dask, Polars, or PySpark. • Proven experience setting up ML pipelines, integrating with AWS/Databricks, and applying CI/CD principles. • Solid understanding of time-series forecasting and supervised ML models. • Knowledge of cloud infrastructure, IaC (Terraform/CloudFormation), and containerisation. • Excellent collaboration and communication 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 ❯

data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish a modern data platform using Fabric, Databricks or similar technologies to power predictive analytics and automation. Deliver the business's first AI-powered products and tools , such as intelligent search, document OCR and insight-driven reporting. Partner … setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and AI disciplines. Background in cloud-based data platforms - Microsoft Fabric, Databricks, Snowflake, AWS or Azure . A hands-on mindset with the ability to balance technical leadership and strategic direction. Strong communication and stakeholder management skills, with the ability to operate 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 ❯