51 to 75 of 337 Remote Databricks Jobs

tools, architecture repositories, and visual communication. Experience in assessing emerging technologies and their impact on enterprise architecture. Desirable Skills Experience with Microsoft Azure technologies (e.g., Data Factory, Synapse, ADLS, Databricks, Power BI). Understanding of enterprise data architecture and analytics platforms. More ❯

payer, provider, or clinical data environments). Exposure to object-oriented programming in a language such as Python or Go. Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift, or Databricks). Strong understanding of data modeling principles, testing, and documentation best practices Skills: Data Engineering dbt (Data Build Tool) SQL Data warehouses Data modeling Education: BS degree or equivalent practical More ❯

to build scalable ETL/ELT pipelines and implement strong data governance and security controls. Experience with batch and real-time integrations , ODBC connectors, and REST APIs. Exposure to Databricks or Microsoft Fabric (desirable). A track record of working in complex ERP environments and supporting digital or data transformation programmes. Our client is investing heavily in technology and committed More ❯

Key Experience Strong experience in a pre-sales or solution architecture role focused on data and analytics. Expertise in Microsoft Azure data services , including Fabric, Synapse Analytics, Power BI, Databricks, and Azure AI Skilled in data architecture patterns , data lakes, and lakehouse design. Demonstrable experience creating value-driven proposals and technical demos for enterprise customers. Excellent communication and storytelling skills More ❯

experience in data architecture and modelling (3NF, Kimball, Data Vault). Deep understanding of database design, metadata-driven pipelines, and data integration. Proven experience with Azure Data Services-including Databricks, Data Factory, Azure SQL, and CosmosDB. Expertise in data warehousing, data lakes, and lakehouse architectures. Strong knowledge of MDM, data cataloguing, and data lineage management. Experience across the full technology More ❯

of experience in a Data Architect or similar senior data role. Strong knowledge of data modeling, data warehousing, ETL/ELT design, and database technologies (e.g., Snowflake, Azure, SQL, Databricks). Proven experience working in complex data environments, ideally in the energy or industrial sector. Familiarity with data governance frameworks, metadata management, and master data management. Excellent communication and stakeholder More ❯

.NET) include: Work directly with Front Office teams, partnering with traders and analysts to deliver a prioritised development backlog Solve diverse technical challenges using Excel, Python, C#, SQL Server, Databricks, Angular, Azure, PowerShell/Bash, Docker, Kubernetes, Git, DevOps, Bicep, and AI tools Understand the business context of requests to deliver high-value, practical solutions Write clean, maintainable, and testable More ❯

permanently 4 years’ experience in data analytics or data science working with complex data Excellent demonstratable SQL skills including complex queries and stored procedures Solid Python and Spark/Databricks skills and an understanding of delta tables Strong numerical, data handling and analytical skills in relation to complicated data models A degree in relevant numerate or analytical subject Ability to More ❯

permanently 4 years’ experience in data analytics or data science working with complex data Excellent demonstratable SQL skills including complex queries and stored procedures Solid Python and Spark/Databricks skills and an understanding of delta tables Strong numerical, data handling and analytical skills in relation to complicated data models A degree in relevant numerate or analytical subject Ability to More ❯

GitLab), including branching, merging, and collaborative code management. Proficiency in programming languages such as Python, R, and experience with relevant libraries and frameworks, and data pipeline tools like Fabric, Databricks or Snowflake. Familiarity with biological and clinical data types and their challenges Excellent leadership, communication, and interpersonal skills. Our people are at the heart of our business We are focused More ❯

Databricks Engineer - SC Cleared Fully Remote 6-month initial contract Start Date: 17th November 2025 £550 per day Inside IR35 We are seeking two SC Cleared Databricks Analysts to support a high-profile data engineering and analytics programme with one of our GovTech Consultancy clients. The successful candidates will play a key role in designing, developing, and optimising data pipelines … and analytics solutions using Databricks within a secure environment. You will work with large and complex datasets from UK and potentially international sources, enabling advanced analytics and data-driven insights to inform strategic decisions. This role is highly technical and data-focused, requiring strong experience in Databricks , Spark , and related data engineering tools. While stakeholder engagement is minimal, you will … need to align technical solutions with business objectives and ensure data integrity and compliance throughout. Key Requirements Active SC Clearance (used within the last 12 months) Proven experience with Databricks (including notebooks, clusters, and job orchestration) Strong knowledge of Apache Spark , PySpark , and distributed data processing Experience building and optimising ETL pipelines and data workflows Familiarity with Delta Lake , SQL More ❯

Lead Databricks Engineer - Single Customer View Location: Bournemouth (Hybrid) Contract: 12-month FTC Salary: £85,000 + Benefits Lead Databricks Engineer: About the Role Join our Single Customer View (SCV) Programme , a strategic initiative within Financial Services aimed at delivering a unified, trusted view of customer data. We're seeking a highly skilled Lead Databricks Engineer to design and implement … scalable data pipelines that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance to support this critical programme. Lead Databricks Engineer: Key Responsibilities Build and maintain Databricks pipelines (batch and incremental) using PySpark … business teams, and engineers to deliver consistent, well-documented datasets. Support deployments and automation via Azure DevOps CI/CD . Gather and refine requirements from business stakeholders. Lead Databricks Engineer: About You Strong PySpark development skills for large-scale data engineering. Proven experience with Databricks pipelines and workflow management. Expertise in Azure Data Factory orchestration. Solid knowledge of Delta More ❯

Databricks Data Architectx2 UK Wide Hybrid Working £80,000-£90,000 As a Solution Architect with an Azure and Databrick focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI …/ML models that fuel our data-driven operations. Duties Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure … reliable and accurate data. Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work More ❯

Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and More ❯

to enhance reporting, analytics, and business intelligence solutions. What You Bring: 5+ years of experience in SQL production environments and data engineering. Strong expertise in SQL, T-SQL, Azure, DataBricks, and SSIS. Experience with data integration, modeling, and performance optimization. Problem-solving mindset and a collaborative approach. Desirable: Experience handling data from APIs and secure protocols. Familiarity with visualization tools More ❯

critical projects across the public sector, defence, and government organisations , delivering real-world innovation powered by data and technology . 🔧 Tech Stack & Skills We're Looking For: Palantir Azure Databricks Microsoft Azure Python Docker & Kubernetes Linux Apache Tools Data Pipelines IoT (Internet of Things) Scrum/Agile Methodologies ✅ Ideal Candidate: Already DV Cleared or at least SC Strong communication skills More ❯

critical projects across the public sector, defence, and government organisations , delivering real-world innovation powered by data and technology . 🔧 Tech Stack & Skills We're Looking For: Palantir Azure Databricks Microsoft Azure Python Docker & Kubernetes Linux Apache Tools Data Pipelines IoT (Internet of Things) Scrum/Agile Methodologies ✅ Ideal Candidate: Already DV Cleared or at least SC Strong communication skills More ❯

Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL, Databricks, cloud platforms) Deep understanding of the full ML lifecycle and productionisation of models Passion for applying AI to solve real-world problems Why Join: Work with a modern AI/ More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented mindset More ❯

Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented mindset More ❯

project requirements with stakeholders. Qualifications At least 5 years of experience in a technical data role (data engineer, ML engineer, or data scientist). Hands on expertise with Azure, Databricks, and Snowflake. Strong command of Python and SQL. Experience managing multi disciplinary data teams. Solid understanding of data management concepts, including schema evolution and storage formats. Proficiency in software engineering More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details... Experience required: Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯