626 to 650 of 1,177 Databricks Jobs

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI‐led transformation EXL Differentiation - Position EXL as a Data ...

Technology Platforms across AI solutions (OpenAI, AWS, Palantir, Google, Microsoft), Cloud (Azure, AWS, Google), Supply Chain (O9, BlueYonder, Kinaxis), CRM (Dynamics, Salesforce), Data (Databricks, Snowflake), ERP (SAP S4) or others.Set yourself apart (we’re very interested in hearing from you if you have some or all of the below):Deep ...

Registries connecting microservices and AI agents.Background in secure containers, sandboxing, or confidential computing for regulated workloads.Experience with data-intensive systems such as Spark, Databricks, or Data Mesh.Programming experience in Go, Python, or TypeScript.Contributions to open-source or CNCF community projects.Job Benefits> How we work:Hybrid working and the option ...

storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed ...

integration.Hands-on experience with vector databases and semantic search pipeline design.Experience with Model Context Protocol (MCP).Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context.Demonstrated ability to design enterprise-grade AI systems with strong non-functional ...

with agentic frameworks* Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)* Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development* Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus ...

Databricks Data Engineer - Data Ingestion 6 months - £550 a day (outside IR35) Location: UK - Hybrid/Remote We are looking for an experienced Databricks Data Engineer/Data Ingestion Engineer to join a large, global organisation. The role is focused on data ingestion and engineering, connecting data from multiple sources … building robust pipelines within a modern Azure/Databricks environment. Key Responsibilities Build and maintain data ingestion pipelines using Databricks. Connect to multiple data sources including SQL databases, APIs and Azure services. Develop pipelines using Azure Data Factory and Databricks Lakeflow. Implement appropriate ingestion strategies including incremental and batch loads. ...

Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions. … Responsibilities Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, and python. Design and develop efficient and reliable etl processes for large datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. ...

integrating AI/ML tools. What You'll Do: Build and optimize data pipelines using Azure Data Factory (ADF) and SSIS . Leverage Databricks and Azure Data Lake to innovate and streamline workflows. Create high-impact reporting solutions in Power BI . Collaborate with multi-functional product teams and mentor … junior developers. What We're Looking For: Languages: Strong proficiency in SQL and Python . Data Platforms: Hands-on experience with Databricks and Azure Data Lake . ETL: Proven ability to build efficient pipelines (ADF, SSIS, APIs). Desirable: PySpark, Dimensional Modelling, DAX/SSAS, or an interest ...

cross-domain impact. You'll lead NFS's transition from a SQL Server-centric environment to a modern, scalable platform built on Azure Databricks and Python, while keeping Power BI delivery sharp and stakeholder-ready. Your domain knowledge is the differentiator. You ask better questions, catch errors faster, and build … them into governed, trusted BI products from model to report layer. Architect the platform — Lead the shift to a cloud-native lakehouse on Azure Databricks with Delta Lake and Unity Catalog. Establish Python-first standards and reusable framework patterns for the team. Rationalise KPIs — Drive "one version of the truth ...

across AWS, Azure and GCP to support analytics, AI and operational workloads.Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies.Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they … architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP.Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms.Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments.Experience ...

migration from a legacy data warehouse into a modern Azure Data Lake, develop Power BI dashboards and reporting solutions, support data engineering activities using Databricks and Azure Data Factory, and work closely with stakeholders to translate business requirements into scalable technical solutions. Alongside your technical responsibilities, you'll mentor … Ensuring Your Success To succeed in this role, you'll bring strong experience in data modelling, reporting, and analytics, with expert knowledge of SQL, Databricks, Azure Data Factory and Power BI, including DAX and semantic modelling. You'll have a solid understanding of Azure Data Lake architecture, ETL processes, dimensional ...

Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they … architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern ...

beyond traditional reporting towards evidence-led, AI-enabled decision making. You will work alongside data engineers, data architects, platform specialists and consultants across Snowflake, Databricks and Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning … Platform Enablement · Work with Data Engineering and Architecture teams to access, prepare and validate data for machine learning workloads. · Use platforms such as Snowflake, Databricks and Microsoft Fabric where appropriate for data preparation, experimentation and deployment support. · Follow good engineering practices for version control, testing, documentation and reproducibility. · Contribute ...

Principal or Senior Architect designing large-scale, high-throughput, and mission-critical enterprise distributed systems. Deep Technical Breadth & Depth: Advanced data architecture experience using Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse patterns). Strong background in data integration and relational platforms Proven experience designing highly … will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing: Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data Factory ...

Senior Data ArchitectLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: PermanentDesign the blueprint. Architect the future. Empower data transformation.The RoleCapco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across ...

Job title: SeniorEngineering Manager (Data Platform & Analytics Engineering) Location: London, Bristol or Edinburgh (Including Hybrid) Reporting to: Head of Data Science & Products This role is based in London, Bristol or Edinburgh and requires existing right ...

We are seeking an experienced Enterprise Data Architect to join a major transformation programme within a complex enterprise environment. You will be responsible for defining and delivering the organisation’s data architecture strategy, enabling improved ...

Data Architect Salary: Up to £72,000, based on skills and experience Contract Type: Permanent– 35 hours a week Location: Hybrid working (office based in Birmingham) – typically 2 days in the office per week Closing ...

Data Software Engineer - Azure Databricks Location: London, UK Rate: £500 per day, inside IR35 Working Mode: 3 days a week on site Description We're looking for a Data Software Engineer - Azure Databricks to join our client (Financial Services) team in London, UK in an hybrid working mode. In this … role, you will design and build data engineering solutions leveraging Azure Databricks and related Azure services, enabling efficient processing and transformation of large-scale datasets. You will collaborate with cross-functional teams to ensure the delivery of optimized, reliable, and scalable data pipelines aligned with business requirements. Responsibilities Develop robust ...

Azure | Databricks | SQL | Outside IR35 | Hybrid THE COMPANY We're partnering with a global mining organisation that is investing heavily in the evolution of its enterprise data platform. Following significant growth and a wider transformation programme, they're looking to bring in an experienced Senior Data Engineer to strengthen … confidently engage with stakeholders, understand technical and commercial requirements and translate them into scalable Azure data solutions. The platform is built around Azure and Databricks, with SQL sitting at the centre of the engineering approach. The team strongly believes in solving transformation challenges through Spark SQL wherever possible, favouring modular ...

Responsibilities Driving co‐selling with Databricks Act as the primary day‐to‐day interface between Advancing Analytics and Databricks account teams Build strong relationships with Databricks Account Executives, Sales Leaders, Partner Managers and wider field teams Maintain a regular on‐site presence at Databricks’ London HQ (2–3 days … week) Run joint account mapping and convert this into active pursuits and opportunities Identify, mature and progress new joint opportunities with Databricks Act as an extension of the Databricks community planning and field teams Owning partner‐led pipeline and revenue Identify, shape and progress co‐sell opportunities alongside Databricks ...

# CSQ327R269As a Forward Deployed Engineer Architect you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross … evaluation and adoption of Databricks.Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet ...

team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross … evaluation and adoption of Databricks.Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet ...

collaborate with data scientists, engineers and platform teams to establish standards for CI/CD, experiment tracking, model lineage and governance. Using Databricks, MLflow and Azure ML, you’ll build reproducible pipelines, promote safe productionisation, and strengthen governance while reducing operational risk. #J-18808-Ljbffr ...