51 to 75 of 189 Delta Lake Jobs in the UK

native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns Transformation and quality: dbt, Great ...

Unifeye. What You'll Do Design and build scalable batch and streaming data pipelines using Spark and Databricks. Develop modern Lakehouse architectures using Delta Lake and Medallion (Bronze, Silver and Gold) design principles. Build robust ingestion frameworks from APIs, files and streaming data sources. Ensure data quality, testing … data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. Good understanding of Lakehouse architecture and Delta Lake. Experience working with AWS, Azure or GCP. Experience implementing CI/CD, version control and deployment automation. Strong communication skills and experience working ...

concept through production delivery Core Skills and Experience Experience in designing and implementing enterprise-scale data platforms. Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, Spark, Structured Streaming, and Lakehouse architecture Strong hands-on experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing ...

decisions from concept through production deliveryCore Skills and ExperienceExperience in designing and implementing enterprise-scale data platforms. Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, Spark, Structured Streaming, and Lakehouse architectureStrong hands-on experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing ...

Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation and quality:dbt, Great Expectations and equivalent ...

communicate complex concepts in a clear, concise manner Languages: Terraform, Python, SQL, PowerShell. CI/CD: Azure DevOps pipelines for data platform deployments. Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow. Azure: ADLS Gen2, Azure Data Factory, Event Hubs/Kafka, Key Vault, Functions, Synapse. AI Foundry … Service Plan Deployment and Configuration, Integration with Azure bot Services MS Fabric: Tenant Management, Workspace Private Links, Deployment, Capacity Management, Workspace Management, One Lake, Data Mirroring, Power BI AI Foundry : Model management, Hosted Agents Deployment and Management , Project Configuration (Connections and Governance ) and lifecycle management.#LI-PM1Inclusion & DiversityWe value diversity ...

ongoing enhancement and modernisation of enterprise data platforms Databricks & Data Platform Engineering Develop and support Databricks-based data solutions and Lakehouse architectures Utilise Delta Lake and Spark technologies to deliver scalable data processing capabilities Optimise distributed data processing workloads for performance and reliability Implement data quality controls ...

data engineering, data platform delivery, software engineering, or related enterprise technology roles. Strong hands‐on experience with Databricks, Spark/PySpark, Python, SQL, Delta Lake, Azure, ADLS, and cloud‐based data engineering patterns. Experience designing scalable data pipelines, data products, and lakehouse solutions using modern cloud data platform ...

diagnosing and resolving issues Highly Desirable Skills Experience with streaming frameworks such as Flink, Kafka Streams and Kafka Connect Knowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data Catalog Exposure to DataOps practices and collaboration with Data Engineering teams Familiarity with GPU‐accelerated ...

systematic approach to diagnosing and resolving issuesHighly desirable skillsExperience with streaming frameworks such as Flink, Kafka Streams and Kafka ConnectKnowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data CatalogExposure to DataOps practices and collaboration with Data Engineering teamsFamiliarity with GPU-accelerated analytics using ...

Tech Environment My client is actively modernising their platform, moving away from legacy IaaS solutions and building a Databricks‐first Lakehouse . Spark, Delta Lake, CI/CD, and modern DevOps practices are central to how they design and scale data products. What You’ll Need Strong hands ...

reliability. Collaborate with analysts and AI engineers to deliver robust and reusable data products. Manage data lakes and warehouses using formats such as Delta Lake and Parquet. Implement best practices for data governance, performance, and security. Continuously evaluate and adopt new technologies to evolve Movar's data platform. ...

Alongside this, you'll be collaborative and customer-focused, with passion for continuous improvement and delivering high-quality data solutions. Experience with Python, Spark, Delta Lake, DevOps tools, agile methodologies or cloud data governance would be advantageous. In return, we are offering a salary of c.£60k. discretionary ...

extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape enterprise data architecture, balancing … growing data function. What you need to bring “Senior” level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc) Advanced SQL and Python coding skills. A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions. ...

customer in Central London. Key Responsibilities Data Lakehouse Architecture: Design and optimize a high-performance lakehouse pattern utilizing Microsoft Fabric OneLake and Azure Data Lake Storage Gen2 (ADLS Gen2). Data Zone Management: Maintain architectural segregation between raw storage (immutability, landing) and curated data zones (cleansed, conformed business layers … OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls ...

Data Architect, Lead Data Architect, Principal Data Engineer or comparable senior technical leader. Advanced, hands-on Databricks experience in production environments, including lakehouse architecture, Delta Lake and relevant governance, workflow, SQL and optimisation capabilities. Proven ownership of modern data platforms or data products from architecture through production delivery ...

ContractLondon, WaterlooPosted 2 weeks agoCompetitive USD/Year This is an exciting role for a Senior Data Engineer with strong Databricks and Delta to join a world-leading Energy Trading company. Role Description: We are looking for a highly skilled Senior Data Engineer with strong analytical capabilities and hands … scalable data pipelines and enabling real-time and batch analytics across the organization. Key Responsibilities: Design and implement scalable data pipelines using Databricks and Delta Live Tables (DLT)Develop and manage streaming data solutions for real-time analytics and decision-makingIngest data from various sourcesincluding SAP systems using Qlik ...

enhance our Databricks platform, ensuring it remains secure, scalable and reliable. Develop and maintain batch and real-time data pipelines using Databricks, Spark and Delta Lake. Contribute to platform architecture, engineering standards and best practices across the data estate. Collaborate with Product, Analytics and Data Science teams to deliver … across the engineering team. Our ideal candidate Proven experience building and supporting scalable, production-grade data platforms. Strong hands-on expertise with Databricks, Spark, Delta Lake, Python and SQL. Good understanding of cloud-based data engineering, ideally within Azure environments. Experience working with Infrastructure as Code tools such ...

large-scale data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality … . Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. #J-18808-Ljbffr ...

large-scale data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality … . Databricks or AWS certifications. Demonstrated proficiency in cloud-native development (e.g., cloud, artificial intelligence, machine learning). Experience with Parquet, JSON, CSV, Avro, Delta Lake file formats. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent ...

data-protection focus throughout What you'll need: 5+ years' progressive data engineering experience Strong Databricks and Spark expertise - platform internals, performance, DAB, Delta Lake, declarative pipelines Advanced Python, with solid software/DevOps practice (version control, unit testing, pipelines-as-code, CI/CD) Excellent data modelling ...

initiatives by creating trusted, reusable data foundations. Essential Experience developing data engineering solutions on cloud platforms Strong SQL and Python skills. Experience with Databricks, Delta Lake and Spark (PySpark or Scala). Knowledge of modern data warehousing or lakehouse architectures. Hands-on experience developing production-grade data pipelines. ...

processes Experience supporting Generative AI solutions, including RAG architectures, vector search, LLM integration, AI orchestration, or agentic workflows Databricks experience, including Unity Catalog, MLflow, Delta Lake, Lakehouse architecture, and AI tooling Experience working within secure, regulated, or government environments Exposure to large-scale enterprise data and AI platforms ...

delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll DoDesign and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure-native services. Build real-time, event-driven solutions using technologies such as Kafka and Azure ...

OAuth 2.0, Azure Key Vault, and role-based access control (RBAC). Awareness of modern lakehouse concepts and integration with layered data platforms, including Delta Lake and raw/curated data layers. Exposure to Spark/Databricks and PySpark or Spark SQL for collaborating with data engineering teams ...