1 to 25 of 48 Remote/Hybrid Lakehouse Jobs in London

Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline ...

solutions using Azure Data Factory and Microsoft Fabric. Develop high-performance data processing solutions using Python, PySpark, and SQL. Implement Delta Lake and Lakehouse architectures following industry best practices. Work with Azure Data Lake Storage (ADLS Gen2) to manage large-scale datasets. Optimise Spark workloads for performance, scalability ...

enterprise and solution architects to align data engineering solutions with wider technology strategy and architecture standards. Drive adoption of modern data architecture approaches, including lakehouse and warehouse patterns, data product thinking, and reusable engineering services. Mentor and support data engineers through technical coaching, knowledge sharing, and career development activities. ...

data platform, ensuring reliability, performance and scalability * Design enterprise scale data architectures on Databricks and cloud platforms such as Azure, AWS or GCP * Define lakehouse standards, data modelling approaches and governance frameworks * Lead design of batch and streaming platforms using Delta Lake, Spark and related technologies * Establish security, access ...

maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows for reliability and performance * Contribute to lakehouse architecture and medallion pattern implementation * Implement data quality checks, monitoring and observability across pipelines * Apply platform security, access control and governance standards * Support code ...

with stakeholders. Requirements: 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains ...

national security or another highly regulated environment. Knowledge of AWS, Azure, Microsoft Fabric or comparable cloud data platforms. Experience with data lakes, data warehouses, lakehouse architectures and real-time or event-driven data solutions. Understanding of APIs, microservices and modern systems-integration approaches. Familiarity with data cataloguing, master data ...

tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure to customer data platforms (CDPs ...

tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure to customer data platforms (CDPs ...

comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling, lakehouse patterns, and the governance and operational setup of tools like dbt, and applies data security and GDPR principles in platform-level architectural decisions Experience building ...

Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure, AWS, or GCP) Understanding of lakehouse architectures and hybrid data platforms Desirable Experience with medallion architecture (bronze/silver/gold layers) Knowledge of data governance tools (e.g., Purview, Collibra ...

Lead Solution Architect - Data Analytics include: Experience working with architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return ...

building production-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, governance ...

with experience working with distributed data processing frameworks.Expertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse architectures.Experience with schema design, GDPR-compliant data solutions, DevOps tooling, and CI/CD processes.A collaborative approach to engineering with experience using AI-enabled tools ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...