176 to 200 of 499 Lakehouse Jobs in the UK

improve data engineering, reporting and analytics, and provide senior technical leadership for data engineering delivery. Core responsibilities Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer … ingestion, data profiling, master-data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads/SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs ...

trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and oversee solutions using Microsoft Fabric, including: OneLake Lakehouse and Warehouse architectures Data Pipelines Spark/Notebooks Semantic models Ensuring platform scalability, performance optimisation, cost efficiency, and security Guiding the transition from legacy platforms where … experience as a Data Architect or Senior Data Engineer with architectural responsibility Strong hands‐on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise-scale analytics platforms ...

adviser who can challenge assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access … Experience in pre-sales, solution estimation, technical proposal development and client-facing presentations. Deep expertise in modern data architectures, including data warehouses, data lakes, lakehouse platforms and analytics ecosystems. Extensive experience in enterprise and dimensional data modelling, semantic layers, master data strategies and data governance frameworks. Strong understanding ...

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 County Durham - Flexible working arrangements £60,000 plus great benefits 2 Year Fixed Term We are looking for a Senior Data Engineer on a 2 year fixed term appointment to play a ...

Data Engineer- Associate Manager Location: London Salary: Competitive salary package depending on experience Career Level: Associate Manager (CL8) Accenture is a leading global professional services company, providing a broad range of services in strategy and ...

ROLE As an Analytics Engineer at Onmo, you will be the day-to-day owner of the business-ready layer of our Databricks lakehouse: the dimensional models, governed metric definitions and self-serve tools that Finance, Credit Risk, Collections and Operations rely on. You will sit between data engineering ...

stakeholder skills and confidence leading requirements sessions, challenging assumptions and explaining findings to non-technical audiences. Knowledge of Microsoft Fabric and medallion warehouse and lakehouse architecture, including Bronze, Silver and Gold layers. Ability to design Gold layer schemas and write clear, testable requirements for Data Engineering. Experience Extensive hands ...

Preferred qualifications Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time ...

Extensive cloud architecture experience, ideally Azure, spanning networking, identity, security, infrastructure, deployment, and cost optimisation. Deep data and integration architecture expertise, including data modelling, lakehouse/warehouse architectures, data quality, governance, and complex system integrations. Proven knowledge of security, compliance, and non‐functional architecture within regulated or data‐sensitive ...

database and data modelling skills Experience with agentic AI coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development Big data/Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka) Interest in investment banking or financial instruments At Goldman Sachs, we commit our people, capital ...

MSCI), parsing financial documents at scale, and/or optimising LLM performance, cost, and latency. Exposure to enterprise data architectures (Kafka/Event Hubs, lakehouse, Snowflake, Oracle) and experience distributed international teams. Location & Work Model: Location: London,UK Working model: Remote for the first 6 months, transitioning ...

backups. Own the observability platform (ClickHouse, OpenTelemetry): logs, metrics, traces, synthetics, SLOs and actionable alerting. Own the data platform: Glue pipelines, Apache Iceberg lakehouse, Redshift and CDC; serve BI users with traceable datasets and handle data requests with strong privacy practice. Operate platform security controls (identity, secrets, hardening, vulnerabilities ...

application architectures. Knowledge of cloud platforms including Microsoft Azure, AWS, and Google Cloud. Experience with modern data platforms including Databricks, Snowflake, vector databases, and lakehouse architectures. Understanding of data governance, responsible AI, AI security, GDPR, and AI regulatory requirements. Hands-on ability to create prototypes and proof-of-value ...

scale it. Databricks is a more technical sell and a more technical build than most enterprise platforms. Depth matters. You'll go deep on Lakehouse architecture, own design decisions clients live with for years, and stay close enough to the keyboard to prove they work. You'll also ...

Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract … higher preferred Databricks Generative AI Engineer Associate certification preferred Responsibilities Design, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python ...

large-scale data platforms, with at least 5+ years of hands-on Snowflake architecture experience.Proven track record architecting and delivering enterprise data warehousing and lakehouse solutions on Snowflake, including migrations from legacy EDW (Teradata, Oracle, SQL Server, etc.) and modern platforms (BigQuery, Redshift, Synapse, etc.).Deep data modeling expertise … experience with major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking (Private Link), and cloud storage integration (S3, ADLS, GCS); familiarity with lakehouse stacks (Databricks, Delta Lake, Apache Iceberg) is a plus.Mastery of Snowflake security and governance: RBAC, tag-based governance, dynamic data masking, row access policies ...

NEC Software Solutions is seeking a Senior Data Engineer for a 3-6 month contract to design, build, and support cloud-based data solutions across AWS and Azure. The role focuses on ETL/ELT ...

Stott and May is seeking a Lead Data Engineer to provide technical leadership and hands-on delivery for a Databricks-centric data platform in the insurance/fintech space. You will own architecture, strategy and ...

Sonata Software is seeking a Data Architect for a permanent hybrid role in the UK. The candidate will lead data architecture with extensive Azure Databricks experience, including Delta Lake medallion patterns and Unity Catalog governance. ...

Sonata Software is seeking a Data Architect for a permanent hybrid role in the UK. The candidate will lead data architecture with extensive Azure Databricks experience, including Delta Lake medallion patterns and Unity Catalog governance. ...

will develop high-throughput Spark pipelines, ETL/ELT workflows for diverse datasets, and Java or Scala components with advanced SQL, contributing to lakehouse architectures and secure data governance. #J-18808-Ljbffr ...

Data Engineer to build, maintain, and optimise robust data pipelines. You will develop ETL/ELT workflows using Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. The role involves constructing scalable ingestion pipelines, automating batch and streaming processing with Delta ...

help organisations transform how they manage, use and learn from data. You will build batch and near real-time pipelines, and design modern lakehouse and warehouse platforms using Microsoft Fabric, Azure data services and Power BI models. The role spans architecture, integration, and governance, with opportunities to mentor ...

experience Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please ...