801 to 825 of 1,390 Permanent Databricks Jobs

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 ...

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 ...

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 ...

data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc. Understanding of cloud-based technologies and tools such as Databricks, S3, etc. Demonstrated product mindset Familiarity with product management principles Effective written and verbal communication skills Strong team player. Inclusive, objective, cross-functional, team member with ...

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 ...

maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents. Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals. Strong debugging instincts with imperfect, real-world data in production environments. Supply Chain Domain (Nice ...

seeking aSenior Data Engineerto join Primark’s Data Platform & Engineering team, leading the design and delivery of scalable data solutions on our Databricks-based enterprise platform. You will build andoptimisetrusted data products that power reporting, analytics, AI and data science across the business. Working closely with engineering, analytics and business … technical leadership, mentor Data Engineers and drive engineering best practices. This is a hands‐on role for an experienced engineer with deep expertise in Databricks,dbtCloud, Spark and SQL, who is passionate about delivering high‐quality data solutions. You will play a key role in Primark’s migration from Teradata ...

Reducing production support burden Clear handover into BAU Profile Role 1: CDI Data Engineer Must Have worked with: Strong SQL, Python/Spark and Databricks pipeline engineering background. Large-scale transaction, payment, loyalty, EPOS/WRE and identity-matching work history Historical/full/incremental loads, high-water marks …/CIS integration and multi-market SCI knowledge desirable. Role 2: BNA Production-Readiness, MLOps & Integration Engineer Must Have: Strong hands-on background in Databricks, PySpark, Python and SQL Production pipeline engineering and troubleshooting Workflow orchestration and dependency management Idempotency, retry/restart and failure-recovery patterns CI/ ...

months Schedule: 40 hrs/week Location: United Kingdom (Remote) This opportunity offers the chance to work on complex data engineering initiatives focused on Databricks, PySpark, SQL and large-scale transaction and loyalty data pipelines. The role will support production-ready integration, migration stabilisation, orchestration, monitoring and data quality across … operational handover into business-as-usual support Experience with integration testing, production validation and data completeness investigations Required Skills Strong SQL, Python, PySpark and Databricks pipeline engineering skills Hands-on ETL/ELT development across cloud-based data platforms Workflow orchestration and dependency management Idempotent processing, failure recovery, error handling ...

Our client is a leading global investment bank. JOB DESCRIPTION Your expertise in cloud infrastructure and data platforms can shape how an entire enterprise accesses, processes, and trusts its data. We build platforms that operate ...

Harvey Nash Group is seeking an experienced Test Automation Engineer for a contract role in Glasgow. The ideal candidate will bring a strong Python background, PyTest expertise, and data validation skills to ensure robust software ...

. Experience working in other cloud environments (AWS, GCP). Familiarity with building and supporting cloud‐native data services (e.g., Snowflake, Databricks, Azure Synapse, Azure HDinsight, Azure AI Foundry). Benefits Remote‐first working with flexibility around client needs. Private medical insurance. Projects with global brands & public sector leaders, working … real‐world impact. Exclusive access to Microsoft & Databricks certifications, training, and partner tools. A collaborative culture of technical excellence and continuous learning. A lead role in shaping delivery standards and future Cloud practices within the firm. Competitive salary and long‐term growth opportunities. #J-18808-Ljbffr ...

building, deploying, testing or reviewing technology, automation, data analytics or AI solutions. Hands‐on experience with modern enterprise data and AI platforms, such as Databricks, Palantir Foundry, Microsoft Fabric, Azure AI, Azure OpenAI, Snowflake, Dataiku or equivalent. Practical knowledge of Generative AI, Large Language Models, Retrieval Augmented Generation, Agentic … Generative AI, Large Language Models (LLMs) and Agentic AI. Strong data analytics capability, including experience with platforms such as Python, SQL, Power BI, Tableau, Databricks, Palantir Foundry. Understanding of technology risks, cybersecurity principles and control frameworks. Ability to assess and test automated controls, algorithms and AI-enabled processes. Ability ...

technical design of the data-platform architecture, from source assessment and business requirements through implementation, integration and operational handover You define and govern Azure Databricks patterns for onboarding priority data sources into the Bronze layer and transforming them into your client Enterprise Data Model/Silver layer, including use-case … years of practical experience designing and implementing enterprise data architectures and governed cloud data platforms in regulated financial services You have hands-on Azure Databricks experience, including source onboarding, Bronze/Silver data layers, enterprise data models, ETL/ELT and data-storage concepts You bring strong conceptual and logical ...

Advanced Analytics solutions, leveraging the latest cloud technologies. Lead the design, implementation, and optimisation of enterprise data engineering solutions on Microsoft Fabric and Azure Databricks, delivering robust, secure, and scalable data products that support analytics, reporting, and AI use cases. Build and oversee the development of dynamic, interactive reports … Python and SQL. Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks Expertise in data visualisation and analytics using Power BI, QlikView or Tableau. Strong experience in data modelling and transformation, including the design of ETL/ ...

data platforms and pipelines that support one of the UK's largest and most ambitious infrastructure programmes. Working alongside industry-leading partners including **Microsoft**, **Databricks**, and **Autodesk**, as well as world-renowned academic institutions such as **Cambridge University** and **Cranfield University**, you'll help unlock the value of data … that powers reporting, analytics, and innovation across the alliance. Your responsibilities will include: * Designing, building, and maintaining scalable data pipelines within Microsoft Azure and Databricks environments.* Developing robust data ingestion, transformation, and integration processes from multiple data sources.* Managing and optimising enterprise data architecture using Bronze, Silver, and Gold medallion ...

capability Lead enterprise Microsoft Data & AI strategy, architecture and transformation initiatives. Define and drive adoption of modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. Provide strategic direction across data architecture, engineering, analytics, governance and AI. Own delivery across large … Data, Technology or Digital Transformation. Extensive experience leading enterprise Microsoft Data platforms and transformation programmes. Strong expertise across Microsoft Fabric, Azure Data services, Databricks/Synapse and Power BI. Strong understanding of data strategy, architecture, governance, security and AI. Proven experience managing large-scale delivery, budgets, risks and senior stakeholders. ...

classification, quality profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured … data readiness and AI What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI) Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master data ...

classification, quality profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured … data readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

classification, quality profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured … data readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

classification, quality profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured … data readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

Partnered with a UK-wide Software and AI Solutions client who are delivering true value to numerous organisations across the Financial Services, Fintech, Public Sector and Utilities industries. They\'ve got a huge demand across ...

Analytics Engineer - Databricks & Data Modelling Databricks | SQL | Delta Lake | Unity Catalog | dbt/Lakeflow | Semantic Layer Salary: £65,000 - £90,000 Location: UK Remote - 1 day per month onsite in the North West We're recruiting an Analytics Engineer for an established UK digital business investing in a modern, trusted … give analysts, reporting tools and AI one reliable, well-documented source of truth. The role Transform bronze and silver data in Databricks into clean, tested and documented gold-layer models. Design core quote, policy and claims models, with consistent metrics for finance, pricing, marketing and operations. Define, document and test ...

Title: Sr. Data Analyst/Data Engineer Databricks LeanIX SQL Python Power BI Location: Multiple US Locations Hybrid (2 Days Onsite/Week) Duration: 6+ Months (Possible Extension) Rate: Market Rate on W2 Eligibility: US Citizens (USC) & Green Card Holders (GC) Only - No C2C/No Third Parties Key Skills … Databricks, LeanIX Data Lake, Unity Catalog, Iceberg REST Catalogs, Databricks Asset Bundles, Spark Declarative Pipelines, PySpark, SQL, Python, API Ingestion, Data Governance, Data Quality, Power BI, Data Mesh. Role Summary: Seeking an experienced Sr. Data Analyst/Data Engineer to support the LeanIX Run team within Architecture Enablement & Governance, focusing ...

Recruitment seeks a Senior Data Engineer (Python/Spark/Databricks) for a hybrid London-based contract. The role focuses on building scalable data pipelines, Databricks lakehouse architectures, and robust data platforms in a modern cloud environment. Strong expertise in Python, Databricks, Spark/PySpark and SQL is required, with ...