801 to 825 of 1,183 Databricks Jobs

Veson IMOS), Post Delivery Event (Claims, Quality, Demurrage, etc), Vetting/Assurance (GMAS and MIS Marine) capabilities and supporting technology (Azure), data (Azure ADLS, Databricks) and integration (ADF, Kafka) platforms.Business domain knowledge of freight trading, voyage operations, post-delivery events and vetting/assurancePractical experience in both TOGAF ...

deliver against partner-sourced revenue targets for the regionBuild and deepen executive relationships with strategic systems integrators, GSIs, and technology alliance partners (hyperscalers, Databricks, Anthropic, Google), as well as Big 4 consulting firms with active practice areas relevant to SmartsheetDevelop co-sell and co-market motions that generate genuine ...

client stakeholders, delivery teams and architects to design and deliver scalable modern data platforms. We are specifically looking for someone with deep expertise in Databricks, either operating at Architect level or leading high-performing engineering teams within enterprise environments. The successful candidate will bring strong consulting capability, commercial awareness … engineering teams. Translate complex technical concepts into clear business value and delivery outcomes. Support clients through technical decision-making, platform strategy and roadmap planning. Databricks Leadership & Solution Architecture Lead the design and implementation of enterprise-scale Databricks solutions and modern data platforms. Provide architectural leadership across cloud-native data engineering ...

days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using … frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks. Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing. Designing evaluation frameworks to benchmark, test ...

days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using … frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks. Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing. Designing evaluation frameworks to benchmark, test ...

days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using … frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks. Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing. Designing evaluation frameworks to benchmark, test ...

days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using … frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial teams within Trading & Supply. Building scalable AI workflows on Databricks using Mosaic AI, MLflow, Genie and AgentBricks. Applying DevOps best practices through CI/CD pipelines, GitHub workflows and automated testing. Designing evaluation frameworks to benchmark, test ...

doingDesigning, building, and maintaining scalable data pipelines using Python and Scala, leveraging Spark and PySpark within an Azure ecosystem (including Azure Data Factory and Databricks).Developing and maintaining reusable data engineering templates, frameworks, and tooling to support data teams across ASOS.Driving standardisation and best practices across data ingestion, transformation … kind of culture where people can grow, create, and succeed.QualificationsStrong experience as a Data Engineer building scalable data platformsDeep expertise in Azure (ADF, ADLS, Databricks)Proficiency in Python and/or Scala(PySpark/Spark) for large-scale data processingHands-on experience with Databricks and Delta LakeSolid understanding ...

teams.QualificationsA bachelor's or master's degree in computer science, data management, information systems industry approved; relevant data solutions development qualifications (e.g. Microsoft certification; Databricks Certification; data apprenticeship qualifications)Additional InformationTech StackSQL Server, SSIS, T-SQLADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lakeSummaryType: Full-timeFunction: Analyst ...

scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge … Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation ...

data science adoption Key Skills and Experience Own end-to-end EMEAPAC data platform across design, delivery and steady-state operation Strong understanding of Databricks and Fabric architecture, including Lakehouse patterns Ability to oversee ingestion, transformation and reporting layers across enterprise data flows Working knowledge of Databricks (Delta Lake, pipelines ...

from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong communication skills for both technical and non‐technical audiences Experience applying … support highly scalable data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams ...

deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands … trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands ...

provide early life support Überzeugendes Profil Proven experience as a Data Engineer in cloud-based analytics environments Strong hands-on experience with Azure Databricks and Lakehouse architectures Experience with data modeling, ETL design and data integration Experience with SAP source systems (S/4HANA and BW/4HANA) Knowledge analysing … focus on hands-on data engineering tasks such as data modeling, data integration, and the development of scalable and reliable ETL pipelines using Azure Databricks, Azure Data Factory and Azure DevOps. Within your domain, you will translate business requirements and user stories into high-quality technical implementations that directly support ...

role.You will:Architect and maintain scalable ETL/ELT pipelines that transform scientific datasets into analysis-ready formats aligned with FAIR data principles.Lead Databricks integration within Product Safety, driving best practices across Delta Lake, Unity Catalog, and data governance.Deliver strategic data product prototypes and partner with the Safety and Regulatory … combines strong data engineering skills with the ability to work fluently across scientific and technical domains.Essential skills and experience:Proven data engineering experience with Databricks (Delta Lake, Unity Catalog, Apache Spark) in cloud-based data platforms and environments (AWS).Strong programming skills in Python and SQL, with experience in software ...

that ingest, transform, and model people data from multiple HR and workforce systems — including Workday — into a governed, enterprise-grade data model built on Databricks and Delta Lake. Data Modelling & Standards: Own and evolve canonical people data structures across the global people data platform. Define and enforce schemas, ingestion patterns … delivery of complex pipelines and data models in a cloud environment Strong proficiency in SQL; solid Python and/or PySpark capabilityDemonstrable experience with Databricks, Apache Spark, and Delta Lake architectureProven ability to design and own enterprise-grade canonical data models across multiple upstream source systemsExperience integrating data from APIs ...

handle data engineering tasks and CI/CD, designing semantic models for downstream consumption, and implementing an AI Gateway for governance.Stewarding our AI amplified Databricks based framework, maintaining it and improving it incrementally as we learn.Designing data models that bring sources from anywhere in the world into a single coherent … optimization, and MERGE/UPSERT operations.Python and PySpark. You write reusable, parameterized functions and work comfortably with JSON, CSV, and Parquet.Platform knowledgeDeep experience with Databricks (Declarative Pipelines, DABS, Delta Lake, Spark optimization, job orchestration).Familiarity with the Azure ecosystem.Working understanding of Unity Catalog.About youAround 6 or more years of relevant ...

traditional ecosystems-with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience in Snowflake, Databricks or Fabric, managing delivery with an Agile mindset. Data Product mentality: You understand how to build Data Products ensuring that every pipeline and dataset … making through advanced analytics. AI: You have a deep expertise or experience of AI, specifically how to build AI solutions in modern data platforms (Databricks/Snowflake). In addition to Microsoft Azure, leveraging core technologies in the AI Foundry ecosystem, understanding different business challenges require varied solutions from ...

traditional ecosystems—with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience in Snowflake, Databricks or Fabric, managing delivery with an Agile mindset. Data Product mentality: You understand how to build Data Products ensuring that every pipeline and dataset … decision making through advanced analytics.AI: You have a deep expertise or experience of AI, specifically how to build AI solutions in modern data platforms (Databricks/Snowflake). In addition to Microsoft Azure, leveraging core technologies in the AI Foundry ecosystem, understanding different business challenges require varied solutions from ...

Opportunity A specialist data and AI consultancy is growing its Databricks capability and is looking for a Senior Databricks Consultant to join its delivery team. This is an opportunity to work on modern cloud data platforms and Databricks Lakehouse programmes, helping enterprise clients design, build and optimise scalable data engineering … solutions. You’ll work closely with experienced data architects, engineers and client stakeholders, with Databricks at the centre of the role. The position would suit someone who enjoys hands-on engineering while also contributing to technical solution design and client delivery. What You'll Be Doing Design, develop and maintain ...

Ataccama is the agentic data trust company. Organizations worldwide rely on Ataccama ONE, the agentic data trust platform, to ensure data is accurate, accessible, and trusted for every decision and system. Powered by the ONE ...

About usInformation Services Division (ISD) is the primary provider of IT services to UCL. We support and enhance learning, teaching, research and administrative processes by providing information- and technology-related services to over 50,000 ...

engineers. They are also a key driver in translating Vision and Data Strategy into IT solutions and delivering on them.Strong hands-on expertise in Databricks, PySpark, Python and SQL is central to this role.Key Skills:Azure StackELT ExperienceData ModelingData Integration & IngestionData Manipulation and ProcessingGitHub, GitHub Actions, Azure DevOpsData Factory, Databricks ...

maintain cloud infrastructure on AWS using Terraform, including networking, security, compute, storage, and managed services, following infrastructure-as-code best practicesDevelop and manage Databricks platform capabilities — including workspaces, clusters, policies, jobs, libraries, and integrations — to support production-grade data workloadsBuild automation around platform provisioning and operations using Python or Java … services relevant to cloud data platforms, such as VPC, IAM, S3, EC2/ECS/EKS, RDS, KMS, CloudWatch, and load balancingWorking experience with Databricks, including platform administration and/or building and supporting production workloadsProficiency in Python (preferred) or Java, with demonstrated ability to build automation, tooling, and platform ...

575.00 per day ContractDatabricks Data Engineer – Data Ingestion6 months – 550 a day (outside IR35) Location: UK – Hybrid/RemoteWe 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 ResponsibilitiesBuild 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.Develop ETL/ELT processes using ...