26 to 50 of 78 Remote/Hybrid Lakehouse Jobs

grade data platforms. Extensive experience implementing CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or equivalent DevOps tooling. Deep understanding of Data Lakehouse architecture, data modelling, security, and GDPR-compliant solution design. Experience using AI-enabled tools responsibly to improve engineering efficiency while maintaining appropriate human oversight ...

NoSQL, Databricks etc.)You have familiarity working with modern software engineering tools (Git, CI/CD pipelines), cloud technologies (e.g. AWS, Azure) and Data Lakehouse ArchitecturesYou have experience of designing and implementing technical data governance strategies with a focus on data quality and discoverable metadata, with practical knowledge ...

Data Modelling Advanced SQL Strong expertise in Power BI, DAX and Power Query Expert dimensional & semantic modelling Strong knowledge of Microsoft Fabric - Warehouse, Lakehouse, OneLake & Direct Lake Experience owning enterprise/cross-business-unit data models Strong stakeholder management and leadership skills This is a great opportunity ...

extend or become a permanent member of the team Compensation: OTE £90,000 Location: Hybrid/client-site as required Technology environment: AWS, Databricks, Lakehouse architecture, complex relational databases, ETL/CDC pipelines About Transform Together Transform Together is a digital transformation consultancy helping organisations deliver business and technology ...

Experience with technologies such as Iceberg, Starburst, Teradata, HVR, or similar enterprise data platforms would be beneficial. Experience working with data lakes, data warehouses, Lakehouse technologies, or enterprise data platforms. A solid understanding of modern data engineering concepts such as data ingestion, change data capture (CDC), data modelling ...

democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive ...

similar Data visualisation Infrastructure as Code awareness, Terraform or similar Stakeholder management Nice to have: Real-time and event-driven data platform experience Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking ...

data platforms, including technologies such as GCP, BigQuery, Dataflow, Dataproc, Azure, AWS, or equivalent solutions. Strong understanding of modern data architectures, including data lakes, lakehouse architectures, streaming platforms, real-time processing, and event-driven ecosystems. Experience establishing data as a strategic product, enabling business growth, customer value, operational performance ...

responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that ...

track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within ...

future AI-enabled business services• Provide technical direction and design authority for data engineering solutions, including data pipelines, ETL/ELT processes, data integration, lakehouse architecture, real-time data streaming, and AI-ready data architectures• Oversee the development and operation of data platform capabilities that support AI workloads, including … Significant experience in data engineering and data platform technologies, with deep knowledge in Azure data services (e.g., Databricks, Data Factory, Data Lake, Synapse) and lakehouse architectures • Proven track record of leading and managing technical data teams, including coaching, development, and performance management of data engineers and architects • Solid knowledge ...

Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure as Code and modern testing practices Agile delivery experience (Scrum/Kanban) Experience ...

integral part of our team dedicated to building scalable, secure, and well-governed data platforms. You will leverage your expertise in ADF, Fabric (Lakehouse, Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics … orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Azure services.* Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure ...

assurance expectations. Experience with cross-domain transfer solutions, guards or controlled data movement between security domains. Experience with data catalogues, data mesh, data fabric, lakehouse or data product operating models. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website. ...

practices, and escalating, managing and reporting control issues with transparency.**Skills & Experience****Essential**Proven in-depth commercial experience in the following key areas:* Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning.* Apache Spark & Scala – High-performance distributed data processing and optimisation.* Cloud Data Engineering (AWS) – Cloud-native ...

movement of data across on-premises and cloud sources into Amazon S3 and downstream analytics services.* Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift … data and analytics platforms.* Proven expertise in data integration and analytics platforms on AWS, with strong understanding of data warehousing, dimensional modelling, and lakehouse/data lake concepts.* Experience with AWS cloud platform, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, and related ...

Senior Data Engineer Location: Newcastle upon Tyne (Hybrid) Salary: £60,000 per annum Contract: Fixed Term - 2 Years About the Role We are looking for an experienced Senior Data Engineer to lead the design, development ...

architecture and analytics ecosystems. Strong stakeholder management and architecture governance experience. Desirable Experience Experience supporting Microsoft Dynamics 365 (D365) transformation programmes. Experience with Databricks, Lakehouse architectures and modern cloud data platforms. #DataArchitect #MDM #MasterDataManagement #Databricks #D365 #DataGovernance #EnterpriseArchitecture #OutsideIR35 #ContractJobs #DigitalTransformation Reasonable Adjustments: Respect and equality are core values ...

experience establishing or significantly maturing a data governance capability, with examples you can walk through. Solid grasp of data contracts, data lakes and modern lakehouse governance. Enough technical understanding to hold your own with data engineers, including working SQL familiarity. Confidence operating as the enforcement and escalation point ...

implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across … Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise ...

lead the delivery of a modern enterprise data platform for a leading financial services organisation. The role will take technical ownership of Databricks lakehouse solutions, covering ingestion through to curated serving layers. Responsibilities will include implementing Medallion Architecture, Unity Catalog, Declarative Pipelines and scalable Databricks-native ingestion patterns while ...

Databricks experience delivering production solutions • Active/current Databricks certification - Data Engineer, Machine Learning or Generative AI • Strong experience designing and implementing Databricks Lakehouse architectures • Hands-on implementation of Medallion Architecture - Bronze, Silver and Gold layers • Experience with Unity Catalog, including governance, access control, lineage and secure data sharing ...

modelling and curation for large-scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs ...