76 to 100 of 499 Lakehouse Jobs in the UK

with CI/CD for data engineering using GitHub or Azure DevOpsExperience designing infrastructure-as-code solutions for Azure environmentsUnderstanding of data mesh or lakehouse principles for large-scale architecturesBackground in financial trading or capital markets data domainsWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance ...

Experience building and designing products that use both real-time and batch data at scale, and an understanding of the underlying data architecture (e.g. lakehouse, star schema). Ability to write and validate SQL queries, and to trace data flows end-to-end to ensure data quality. Awareness ...

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 ...

Automate and governance of ERP-adjacent low-code solutions. Familiarity with Azure data tooling and modern analytics platforms including Data Factory, Fabric, Databricks and lakehouse concepts. ITIL/Agile delivery experience, service transition and formal change/CAB participation. Relevant Microsoft Dynamics 365, Azure or Power Platform certifications. #J ...

LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible ...

performance tuning, advanced analytical queries, and reconciliation). Strong Azure Cloud Stack Experience: Azure Data Factory (ADF) Azure SQL DB Azure Data Lake/Lakehouse architectures Python for data manipulation & automation Proven experience across all migration phases: Strategy, Discovery, Cleansing, Mapping, Execution, and Post-migration Validation. Hands-on proficiency ...

deliver data solutions that support business-wide analytics and future AI initiatives.Key responsibilities include: Leading the design and implementation of a cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business ...

data engineering experience, with a track record of setting technical standards. Strong command of the modern data stack (pipelines/ETL, warehouse or lakehouse, SQL, Python, orchestration). Deep hands-on experience with Microsoft Fabric and Microsoft SQL Server. Proven experience designing and operating pipelines and ETL within ...

standards. Develop Cloud-Based Workflows Orchestrate data workflows using AWS services such as Glue, EMR Serverless, Lambda, and S3. Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg. Apply Software Engineering Best Practices Use version control, CI/CD pipelines, automated testing, and modular code principles. Participate ...

system data integrations. Strong technical documentation and communication skills. Experience remediating and improving existing/inherited infrastructure. Desirable Experience with modern data warehouse or lakehouse platforms . Experience with notebook-based development and distributed data processing frameworks. CRM integration experience. CI/CD pipeline configuration. Experience supporting mobile application ...

Strong commercial data engineering background, building and running production pipelines end to end Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with cloud data platforms (AWS, Azure or GCP) and containerised ...

strategies. Technology & platforms • Continuously evolve the data infrastructure - challenging how data is harvested and distributed across the business. • Lead on Power BI, Data Lakes, Lakehouse and Machine Learning capabilities. • Stay ahead of emerging tools and technologies - and have the experience to deliver your recommendations. People & culture • Lead, develop ...

governance, data quality, security, privacy, and access control considerations in enterprise data environments.Working knowledge of Microsoft Fabric and its architectural building blocks, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Notebooks, semantic models, Power BI, data pipelines, governance, security, and workspace administration.Who we areAs the third largest data center provider ...

data quality, security, privacy, and access control considerations in enterprise data environments. Working knowledge of Microsoft Fabric and its architectural building blocks, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Notebooks, semantic models, Power BI, data pipelines, governance, security, and workspace administration. Who we are As the third largest data ...

reviews, pairing, and knowledge sharing. Problem‐Solving: Pragmatic approach to balancing technical excellence with delivery needs. Nice to Have Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real‐time streaming technologies (e. g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. ...

take ownership of getting good quickly. People who wait to be trained will find this uncomfortable. Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. The Zego ...

reviews, pairing, and knowledge sharing. Problem-Solving: Pragmatic approach to balancing technical excellence with delivery needs. Nice to Have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. The Zego ...

containerization (Docker) and basic container orchestration concepts Knowledge in platform security practices including IAM, encryption, and network security basics Knowledge of data warehouse and lakehouse technologies (Snowflake, Databricks) Awareness of FinOps principles and cloud cost optimization Experience supporting multiple teams or use cases with shared platform capabilities Experience building ...

issues with batch or micro‐batch jobs on AWS ETL or Azure ETL services Experience querying data stored on AWS S3, or through a Lakehouse capability Experience in managing API-level and Database connectivity Experience using source control and DevOps tooling such as Gitlab Experience in use of terraform ...

support data pipelines that ingest, transform and curate data from a range of internal and external systems. Support the ongoing development of a modern Lakehouse-style architecture, including Bronze, Silver and Gold data layers. Maintain and enhance trusted, reusable datasets that support reporting, analytics and operational insight. Monitor …/Pilot Activity Support the design, delivery and evaluation of Microsoft Fabric proof-of-concept and pilot activity. Test Fabric capabilities including Data Factory, Lakehouse, Dataflows, pipelines, semantic models and integration with Power BI. Assess if the platform meets criteria such as functionality, scalability, security, governance, performance and business ...

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 … standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted, accurate outputs. Support the migration and re-platforming ...

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, dedicated to driving transformational change for our clients. We leverage proven technology, specialist teams, and extensive domain expertise to ...

A bit about us: Established in 1994, The Fragrance Shop is the UK’s leading independent fragrance retailer. Our aim is to make mainstream and luxury fragrances affordable and accessible to all. We showcase more ...

cloud services. Support API-based integrations, with Workday integration experience considered good to have. Contribute to data snapshotting, Parquet-based storage and Fabric/lakehouse development where required. Apply good engineering practices, including source control, testing, peer review, monitoring and controlled deployments. Identify, investigate and resolve data quality, pipeline ...

Marketplace and Cloud Adoption.Specialist Sales Lead - Google CloudFocus areas include BigQuery, Vertex AI, Gemini, Data Platforms and AI Industrialisation.Specialist Sales Lead - DatabricksFocus areas include Lakehouse Modernisation, Data Engineering, Analytics and AI Platforms.Specialist Sales Lead - SnowflakeFocus areas include Data Cloud, Analytics, AI, Governance and Platform Optimisation.Additional Info #J-18808-Ljbffr ...