251 to 275 of 1,494 Databricks Jobs

quality & pace of your output Technologies we love Languages: Python, Spark, SQL Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker, Terraform, Datadog Datastores: Databricks, OpenSearch, Postgres Equal Opportunity Statement At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

Overview Strategic Account Executive - Consumer Goods Industry, London, United Kingdom. Databricks is seeking a Strategic Account Executive to grow one of our most strategic CPG customers in the UK, leveraging experience in selling to the sector and managing large, multi-national accounts. Reporting to the Director, Sales, you will bring … usage and booking goals. Lead your team, customers and partners to identify impactful big data and AI use cases and demonstrate value on the Databricks Data Intelligence Platform. Implement the customer’s big data and AI transformation goals through strategic partnerships, scoped professional services, training and targeted Executive Engagement. Develop ...

governance frameworks, data lineage concepts, or master data management practices. Experience with data visualization tools (e.g., Tableau, Power BI) or cloud-based data platforms (Databricks). About S&P Global Dow Jones Indices At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise ...

Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience … familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing). Experience of DevOps and infrastructure deployments (Azure and Databricks). Ideally, you’ll also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya). Relational Databases and Data Warehousing concepts. Enterprise ...

NTT DATA is seeking a highly experienced Data Solutions Architect (Modern Big Data) to lead design and delivery of scalable data platforms in the Data & AI practice. You will steer cloud-native architectures, guide streaming ...

JPMorgan Chase & Co. in London seeks a Data Engineer to design and deliver scalable data pipelines and architectures. You will work in an agile team to collect, store, and analyze data securely, enabling business functions ...

Python and SQL and the ability to write complex SQL queries. Use of GitHub and CI/CD practices. Support development of the Azure Databricks Lakehouse platform, shaping frameworks and solutions that other engineering teams will adopt in future data projects. Build, optimise, and maintain data processing frameworks using Python … solutions. Stakeholder management, take ownership of requirements, communicate effectively across teams, and deliver high quality solutions. Experience of DevOps and infrastructure deployments (Azure and Databricks). A proactive awareness of industry standards, regulations, and developments. Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering ...

fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … leveraging AI-assisted workflows to optimise task efficiency. Strong communication and interpersonal skills. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Excellent understanding of data architecture involving data mesh, data lake, data warehouse ...

regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence … Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch ...

regulatory requirements Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence … Deep expertise in the Microsoft Azure Data Platform, including services such as Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Extensive experience designing and implementing enterprise-scale data architectures, including data modelling, ETL/ELT frameworks, Lakehouse solutions, batch ...

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Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Credit data ...

solving, and communication skills. Proven experience leading data modernisation initiatives across multiple sectors. Technical Expertise Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog. Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise with data lake/lakehouse … modern big data solution architecture. Education: University degree required. Preferred: BSc/MSc in Computer Science, Data Engineering, or related field. Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable. Measures of Success Delivery of modern big data solutions aligned to client business objectives. High client satisfaction and repeat ...

looking for a Strategic Account Executive to join our team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Consumer Goods industry. Your mission will be to grow one of our most strategic CPG customers. Experience selling to this sector is essential … booking goals. Lead your team, customer and partners to identify impactful big data and AI use cases while proving their value on the Databricks Data Intelligence Platform. Implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well‐scoped professional services, training ...

Databricks is seeking an Infrastructure & Platform Specialist Solutions Engineer in the UK to guide enterprise customers through Databricks deployments on AWS, Azure or GCP. You will architect secure, scalable cloud deployments with strong identity and networking controls and work with cross-functional teams to address complex requirements. You will demonstrate ...

world's toughest problems with big data and AI? This is what we do everyday at Databricks. As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will own a focused territory of 3 to 4 large Digital Native spending … time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Ensure 100% satisfaction among all customers What we look for: Good understanding of the data platform and cloud ecosystems Some exposure ...

modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.## **The Role You Are Considering**As a Data Engineer, you will be an integral part of our team dedicated to building … Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other ...

Role: Databricks Lead Engineer Location: London (Hybrid/On-site requirement: 3 days per week in London ) Rate: Up to £575/day (Inside IR35) Contract Length: 6 months with potential extension Start Date: ASAP Role Summary We are seeking an experienced Databricks Lead Engineer to drive the design, development … optimization of enterprise-scale data platforms. The ideal candidate will have strong technical leadership capabilities, deep expertise in the Databricks Lakehouse platform, and a proven track record of delivering robust data pipelines and architecture in complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures ...

Information Databricks Platform Location: UK Role Type: Permanent - Full Time Job Location: Hybrid Working - minimum of 2 days a week in our London office ABOUT SAGACITY Sagacity are the data intelligencepeople. Our proposition isbusinesses increase customerengagement and make moreinto the data businesses alreadyhave, and combine it with our data,insight … theneverything else will follow. Clever with data... combining data,insight, and action to drive value Responsibilities Principal responsibilities will involve: Provision, configure and operate Databricks workspaces, clusters, SQL warehouses and pools across our cloud environment Implement and maintain Unity Catalog: catalogs, schemas, external locations, row/column-level security, lineage ...

Consultancy Services in the United Kingdom is seeking a Data Engineer to design, develop and maintain Azure-based data pipelines, leveraging Azure Data Factory, Databricks, Synapse and Data Lake to support data integration, migration and analytics. You will collaborate with stakeholders to translate business needs into reliable, scalable data solutions ...

/Corporate Banking Risk & Compliance AML/KYC reporting Regulatory reporting Understanding of financial data governance and audit requirements. Preferred Qualifications Experience with Snowflake, Databricks, or Redshift. Knowledge of data governance tools. Exposure to real-time streaming platforms. Banking domain experience Education Bachelor’s or Master’s degree in Computer ...

engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda and Glue Familiarity with Git and infrastructure ...

combine priority internal and external data sources, understanding quality, permissions and fitness for use. Design, build and operate reliable pipelines in Microsoft Fabric and Databricks to ingest, clean, standardise, enrich, version and publish structured, semi-structured and unstructured data as reusable data assets. Create scalable lakehouse data models, schemas, data … clients, organisations, people, matters, sectors, jurisdictions, opportunities and legal topics. Implement data-quality checks, lineage, provenance, observability, monitoring and change management within Fabric and Databricks workflows so data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies and data-quality issues, and identify opportunities ...

native hosting, APIs and containerised workloads Partnering with Data teams on cloud ingestion, storage, analytics and BI infrastructure, including Azure Fabric and/or Databricks Building automation with PowerShell/Python to cut manual operational overhead Implementing monitoring, logging, backup, DR and resilience practices Embedding security-by-design and working ...