1 to 25 of 78 Remote/Hybrid Lakehouse Jobs

delivering customer-facing consultancy or professional services engagements. Strong understanding of enterprise data architecture principles. Experience designing and implementing data lakes, data warehouses and lakehouse architectures. Good understanding of data governance, data quality and data management frameworks. Strong SQL skills and experience using Python or PySpark. Experience with Databricks ...

platforms. Deep knowledge of the Microsoft data ecosystem, ideally including significant hands-on experience with Microsoft Fabric. Strong understanding of Fabric capabilities such as Lakehouse, Data Warehouse, OneLake, pipelines and notebooks, and how these can be used to build scalable enterprise data solutions. Strong experience with SQL, Python ...

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 ...

solutions and present insights to stakeholders Promote best practices in data engineering, documentation, and version control Requirements Strong hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, pipelines). Azure Data Factory experience will also be considered if no working experience with fabric Advanced SQL and strong PySpark experience Proficiency ...

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 ...

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 ...

expertise across every area listed below. We're primarily looking for strong Data & AI architecture experience across the Microsoft ecosystem. Data & Analytics Microsoft Fabric Lakehouse architecture patterns Power BI and self-service analytics Semantic modelling and reporting solutions Data platform modernisation and analytics strategy AI & Automation Agentic AI patterns ...

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 ...

largest organisations. This is a strategic architecture role focused on building modern, scalable data ecosystems from cloud data platforms and lakehouse architectures through to data engineering frameworks, governance models and advanced analytics capabilities. You'll work with senior stakeholders to define data strategy, establish target architectures and provide technical … production environments. Key Responsibilities Define enterprise data platform architectures across complex, multi-system environments Lead the design of modern cloud-native data ecosystems, including lakehouse, data warehouse and hybrid architectures Provide technical leadership across data engineering, analytics and AI transformation programmes Design scalable data pipelines, ETL/ELT frameworks ...

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 ...

developing data models to deliver management information outcomes. Experience developing ETL procedures from multiple data sources to one data source. Experienced in developing Data Lakehouse's in Microsoft Fabric. Adept at building collaborative technical and business working relationships to deliver outputs and outcomes. Experienced in authoring technical documentation, able ...

will build scalable and resilient data solutions for games and related platforms. You may work on telemetry pipelines, analytics platforms, data warehouse and lakehouse design, reporting foundations, or backend integrations. You will be expected to speak directly with stakeholders and customers, clarify vague requirements, break down complex work, estimate ...

data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent. Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms. Strong understanding of analytical data modelling, dimensional modelling, semantic modelling and data product design. Experience designing data structures and models that support reporting ...

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 ...

hear from you if you offer a strong mix of any of the following: Data engineering on Microsoft Fabric and/or Azure - pipelines, lakehouse and warehouse, ETL/ELT, SQL and Python. Analytics and BI - Power BI, semantic modelling, governance and performance. Applied and Generative AI on Azure ...

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 ...

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 ...