1 to 25 of 49 Remote Databricks Jobs in Berkshire

modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform More ❯

and SQL Hands-on experiences with Data Architecture, including: Cloud platforms and orchestration tools (e.g. Dagster, Airflow) AI/MLOps: Model deployment, monitoring, lifecycle management. Big Data Processing: Spark, Databricks, or similar. Bonus: Knowledge Graph engineering, graph databases, ontologies. Located in London And ideally you... Are a zero-to-one builder who thrives on autonomy and ambiguity. Are a strong More ❯

experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD pipelines, including More ❯

Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership and stakeholder management skills Bonus: Python, Azure Data Factory/Databricks, data analysis, and COTS platforms Package: £100,000 15% non-contributory pension Hybrid working (3 days per week) Performance-based bonus scheme Comprehensive benefits package including pension, healthcare, and wellbeing More ❯

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 ❯

skills You’re comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What’s in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution More ❯

to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

management tools, and information security practices. Excellent communication and stakeholder management skills across business and technology teams. Desirable Qualifications Certifications in cloud or data architecture (e.g., AWS, Azure, GCP, Databricks). Experience designing and delivering data lakes or large-scale data migration projects. Familiarity with graph databases, semantic modelling, or advanced analytics platforms. Previous consulting experience within financial services or 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 ❯

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 ❯

with diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling More ❯

products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs. Skilled in stakeholder management and influencing at C-suite More ❯

diverse functions. You'll be collaborative, proactive, and passionate about solving problems and driving innovation. Essential Skills & Experience: * 4+ years in data architecture, warehousing, and cloud platforms (Snowflake, Azure, Databricks) * Hands-on experience with Microsoft Power Platform, Power Automate, and Copilot Studio * Strong Power BI and SQL skills * Proven experience implementing automation at scale * Agile delivery experience * Desirable certifications: o More ❯

diverse functions. You'll be collaborative, proactive, and passionate about solving problems and driving innovation. Essential Skills & Experience: * 4+ years in data architecture, warehousing, and cloud platforms (Snowflake, Azure, Databricks) * Hands-on experience with Microsoft Power Platform, Power Automate, and Copilot Studio * Strong Power BI and SQL skills * Proven experience implementing automation at scale * Agile delivery experience * Desirable certifications: o More ❯

diverse functions. You'll be collaborative, proactive, and passionate about solving problems and driving innovation. Essential Skills & Experience: * 4+ years in data architecture, warehousing, and cloud platforms (Snowflake, Azure, Databricks)* Hands-on experience with Microsoft Power Platform, Power Automate, and Copilot Studio* Strong Power BI and SQL skills* Proven experience implementing automation at scale* Agile delivery experience* Desirable certifications:o More ❯

and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data Analyst role, please More ❯

in a similar role within the Public Sector is essential, with housing sector experience highly desirable. Strong technical expertise with MS Azure Data Warehousing (Data Lake, Data Factory, Synapse, Databricks), SQL, Power BI, and other visualisation tools. Experience delivering large, cross-functional data projects in a corporate setting. Excellent communicator, able to translate technical detail into clear business insight. Strong More ❯

in a similar role within the Public Sector is essential, with housing sector experience highly desirable. Strong technical expertise with MS Azure Data Warehousing (Data Lake, Data Factory, Synapse, Databricks), SQL, Power BI, and other visualisation tools. Experience delivering large, cross-functional data projects in a corporate setting. Excellent communicator, able to translate technical detail into clear business insight. Strong More ❯

leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

best practices. To be successful in this role, you will have: Extensive data architecture experience within a cloud environment Strong data modelling experience Knowledge of Azure Cloud Services including DataBricks, Azure Data Factory and Azure SQL. Experience designing and maintaining data warehouses, lakes and lakehouses. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders. Some More ❯

or similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

ability to design and implement scalable, secure, and governed data solutions. Excellent communication and stakeholder engagement skills. Desirable Skills Professional certifications in cloud or data architecture (AWS, Azure, GCP, Databricks). Experience designing data lakes, data meshes, or large-scale migration programmes . Familiarity with graph data models , semantic modelling , or metadata tools . Background in consulting or experience leading More ❯

and planning, through deployment to ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical Insurance Employee Assistance Program Income More ❯

end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks. Good understanding of More ❯