16 of 16 Remote/Hybrid Lakehouse Jobs in the South East

Python, PySpark, Microsoft Fabric, Databricks, Synapse, Delta/Parquet, Power BI, Agentic AI, Infrastructure as code, IaC, CI/CD, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client is a fast-growing, mission-driven global giant in the energy sector and they ...

Essential Significant hands-on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models that accurately represent ...

maintain test strategies, test plans, test cases, and test data sets aligned to each platforms delivery cadence and risk profile. Test data warehouse, lakehouse, and reporting outputs built on Azure Synapse, Microsoft Fabric, Tableau, and Power BI verifying data accuracy, performance, and visualisation correctness. Test integrations and middleware flows ...

closely related discipline, with enough hands‐on credibility to review a design and challenge an approach. Practical experience with a public cloud lakehouse or modern data platform; Databricks and Spark experience is an advantage. Solid grounding in relational databases at scale, ideally including Oracle and/or PostgreSQL. Real ...

operating in some of the UK's most complex and challenging environments. Using Databricks, Apache Spark and cloud-native technologies, you’ll develop scalable Lakehouse architectures and production-grade data pipelines that enable organisations to trust, share and exploit their data more effectively. You’ll have the opportunity … power of their data. Responsibilities Design, build and optimise scalable data pipelines using Databricks, Apache Spark, PySpark and Delta Lake. Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable data products. Build robust ETL and ELT processes that ingest, transform ...

Ceox is seeking a Data Architect to design and deliver a new data service within a large-scale environment. You will shape data architecture, support data engineering, and ensure governance and scalable data structures across ...

building stable, consumable data solutions within constraints of time, budget, and resources. You possess a broad technical background with deep expertise in data modelling, lakehouse architectures, metadata management, and data governance. Strong communication and collaborative skills enable you to work effectively with both technical and non-technical stakeholders across ...

Portsmouth is seeking a Data Engineer to support the development, maintenance and enhancement of the BI Data Platform, including the enterprise Data Warehouse, Lakehouse and reporting environments. You will design, develop and support data integration processes, pipelines, data models and reporting solutions to enable effective operational and strategic decision ...

achievement. The Role: The Data Engineer will support the development, maintenance and enhancement of the Business Intelligence Data Platform, including the enterprise Data Warehouse, Lakehouse and reporting environments. The post holder will design, develop and support data integration processes, pipelines, data models and reporting solutions that enable effective operational ...

Global is seeking an MLOps AI Lead & Databricks Platform Specialist to own the Databricks Lakehouse Platform and drive robust MLOps capabilities across the enterprise. The role involves platform service management, security governance, and collaborating with Data Engineering and Data Science teams to operationalize ML models through CI/ ...

delivery partners, including service performance and support processes. Heavy on Databricks Key Responsibilities: Own and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction. Lead platform service management activities, including incident, problem, change, and request processes ...

energy markets and infrastructure Desirable attributes: Hands-on experience with large distributed systems Previous experience building data platform - including scheduling, streaming, storage, compute Python, Lakehouse architectures, Terraform, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee ...

solutions. Support the migration of data from legacy platforms (such as Oracle and Teradata) into the new cloud-based Unified Data Platform using modern Lakehouse and Data Vault approaches. Implement data governance standards, including metadata management, lineage and data quality rules, to ensure "Gold Standard" datasets. Provide architectural consultancy … modelling concepts. Exposure to Data Vault 2.0 and an interest in learning Data Vault methodologies would be advantageous. Good understanding of modern data platforms, Lakehouse architecture, cloud technologies and data warehousing concepts. Expertise working with enterprise data platforms and integrating data from multiple source systems. Experience supporting data platform ...

Python. Develop and maintain robust ELT processes to ingest, transform and integrate data from multiple sources. Contribute to the design and evolution of Lakehouse architecture and modern data platforms. Develop and maintain data models that support analytics, reporting and downstream applications. Build data quality, validation and monitoring processes … hands-on experience with Databricks . Proven experience designing, implementing and optimising data pipelines. Strong knowledge of Apache Spark and Python . Understanding of Lakehouse architecture and modern data engineering principles. At least five years experience across ELT, data engineering and data modelling. Experience working with Microsoft Azure ...

risk are contested Architecture ownership Set and own the target data architecture: ingestion, storage, transformation, serving, governance Make and document the significant decisions (lakehouse vs warehouse, batch vs streaming, build vs buy) with the trade-offs written down Define non-functional requirements, cost models and FinOps guardrails alongside … other client-facing setting comfortable being accountable to a paying client, not only an internal stakeholder Data modelling depth across dimensional, Data Vault and lakehouse/medallion approaches, with a view on when each is most appropriate Data governance in practice: catalogue, lineage, access control, quality, and Regulatory obligations ...

design and deliver cutting-edge data solutions for customers in the UK. Using Databricks, Apache Spark and cloud-native technologies, you’ll build scalable Lakehouse architectures and production-grade pipelines that enable organisations to trust and share data. You’ll take technical ownership of data engineering projects, mentor teammates ...