76 to 100 of 144 Databricks Jobs in Scotland

quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, DataBricks, cloud platforms) Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloguing Demonstrated experience using enterprise-authorized AI capabilities within ...

code, support data engineering and ML teams, and drive automation and operational excellence. The role requires strong Python/Java development, experience with AWS Databricks, SRE concepts, and secure coding practices. #J-18808-Ljbffr ...

office between 1 to 2 times per week. You will help build and evolve a financial data platform developed on top of Databricks and used by major enterprise clients. The platform supports the ingestion, transformation, modeling, and delivery of complex financial data. This is primarily a backend and data-platform … services, APIs, data pipelines, and data models while collaborating closely with an established engineering team in Edinburgh. The ideal candidate has substantial hands-on Databricks experience and can become productive in a complex data environment. You should be comfortable taking ownership of well-defined areas of work while gradually building ...

Implement Data Solutions**:o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs ...

multi-million ARR goal first set for this product line Addepar is also building new tools to fulfill investors’ needs. From Big Data in Databricks to new web apps and everything in between, you’ll help us build an AI-first platform to empower investors. Moving forward, Navigator and these ...

other enterprise data catalogue platformsExperience with master and reference data management tools (e.g. Ataccama, Profisee – desirable)Working knowledge of the Microsoft Azure ecosystem, including Databricks and Power BIExcellent communication, stakeholder management and influencing skillsExperience delivering solution‐level data architecture across complex projects and programmesExperience producing data impact assessments, guidance ...

using Java/Scala on large-scale datasetsDesign and build AI-enabled applications, including AI Agents and agentic workflowsWork across hybrid data ecosystems (AWS, Databricks, Kubernetes)Ensure code quality through unit testing, integration testing, and continuous validation practicesCollaborate with cross-functional teams to deliver end-to-end solutions aligned with ...

Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder ...

make delivery smarter, with a willingness to learn and experimentPreferred Skills: Exposure to AI tools and/or data platforms such as Databricks or Power BI, and comfortable adopting new software quickly — curiosity and willingness to learn matters more than specific tool experienceBachelor's Degree in Engineering, Business, Mathematics ...

multi-million ARR goal first set for this product line.Addepar is also building new tools to fulfill investors’ needs. From Big Data in Databricks to new web apps and everything in between, you’ll help us build an AI-first platform to empower investors. Moving forward, Navigator and these other ...

machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks or Azure.You can build repeatable, scalable and reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs ...

machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks or Azure.You can build repeatable, scalable and reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs ...

changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Anthropic, Microsoft, AWS, Oracle, Red Hat, OutSystems, and Databricks, ensuring that our customers are provided with the highest quality solutions and services.We’re an award-winning employer reflecting how our employees ...

looking for a Databricks Engineer who can design, develop and maintain scalable data solutions on the Databricks Lakehouse Platform to support analytics reporting and AIML initiatives Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business … your home; noting that you will be unable to work at home 100% of the time. Your Role: Build and optimize ETLELT pipelines using Databricks PySpark and Spark SQL Develop and manage data workflows Delta Lake tables and data transformations Integrate data from multiple sources and cloud platforms AzureAWSGCP Monitor ...

Data Analytics & Business Intelligence (BI) Experience 5-10 years Location United Kingdom - Glasgow, London Skills Apache Airflow, AWS, Data Lake/Lakehouse, Databricks Certified (Data Engineer, ML), DBT, Python, SQL We are seeking a highly skilled Сonsultant Data Engineer to be the driving force behind this massive architectural shift. … warehousing in Databricks. Requirements Required Skills & Technologies Cloud Platforms: Hands-on engineering experience within the AWS ecosystem (S3, IAM, Glue) and deep expertise in Databricks (SparkSQL, PySpark, governed cataloging). Modern Data Stack: Strong proficiency in dbt (Core or Cloud) for data transformation and understanding of modern table formats, specifically ...

deals while establishing sound architectural blueprints. You will serve as the strategic bridge between C-suite client decision-makers, hyperscaler partners (AWS, Azure, GCP, Databricks, Snowflake), and internal delivery teams. You will architect end-to-end solutions spanning modern data platforms, medallion architectures, Enterprise AI, and Agentic workflows, ensuring technical … large-scale enterprise data & AI deals with executive business stakeholders. Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake). Outstanding communication skills, with a demonstrated ability to translate complex technical concepts for both developer teams and C-suite audiences. A global mindset ...

scalable technology solutions, working in an agile environment across multiple platforms and business functions. You will apply enterprise DevOps, AI-assisted development practices, and Databricks data pipelines while collaborating with teams to ensure high availability and performance of critical systems. #J-18808-Ljbffr ...

onsite per week. You will collaborate with security teams to ensure trusted data, build scalable pipelines, and contribute to dashboards in Power BI and Databricks, delivering timely insights for cyber #J-18808-Ljbffr ...

orchestration Preferred Qualifications Background in financial services, derivatives pricing, market data or valuation concepts Experience with distributed compute or job scheduling systems Familiarity with Databricks, Delta Lake or similar analytics platforms Knowledge of reactive or event-driven programming ABOUT US J.P. Morgan is a global leader in financial services, providing ...

developer agents and workflow orchestrationPreferred QualificationsBackground in financial services, derivatives pricing, market data, or valuation conceptsExperience with distributed compute or job scheduling systemsFamiliarity with Databricks, Delta Lake, or similar analytics platformsKnowledge of reactive or event-driven programmingJ.P. Morgan is a global leader in financial services, providing strategic advice and products ...

experience[Preferred] Specific experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy-sensitive domains such ...

hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing … Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution ...

operational excellence. Together, we'll create solutions that make a difference.Job ResponsibilitiesDesign and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs.Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions.Drive root cause analysis … capabilities, and skillsFormal training or certification on data engineering concepts and advanced applied experience.Hands-on experience developing and maintaining data pipelines using Python.Proficiency with Databricks for large-scale data processing and analytics.Experience working with both relational and NoSQL databases.Proficiency across the full data lifecycle, including ingestion, transformation, storage, and access.Experience ...

excellence. Together, we'll create solutions that make a difference. Job Responsibilities Design and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive … Formal training or certification on data engineering concepts and advanced applied experience. Hands-on experience developing and maintaining data pipelines using Python. Proficiency with Databricks for large-scale data processing and analytics. Experience working with both relational and NoSQL databases. Proficiency across the full data lifecycle, including ingestion, transformation, storage ...

help shape our team culture — one built on excellence, collaboration, and continuous improvement.Job responsibilitiesDevelop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutionsSupport the review of controls to ensure sufficient protection of enterprise data across the data lifecycleImplement data security using ...