76 to 100 of 187 Delta Lake Jobs in England

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 ...

disciplines within enterprise environments4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse PlatformStrong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practicesExperience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial … Databricks Lakehouse Platform.Design and implement scalable data and analytics solutions leveraging Databricks technologiesBuild, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta LakeDevelop governed datasets and data products that support reporting, analytics, and artificial intelligence initiativesPartner with business stakeholders and technical teams to translate requirements into ...

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 ...

work with cutting-edge cloud technologies while supporting a business that is investing heavily in data-driven decision making. Desired Skills & Advantages Python, Spark, Delta Lake, DevOps tools, agile methodologies or cloud data governance would be advantageous. Salary and Benefits In return, we are offering a salary ...

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 with ...

ContractLondon, WaterlooPosted 1 week 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 … implementing 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 ...

improving security, supportability and delivery speed. 4. Data Engineering and Integration Design and build reliable ingestion and transformation pipelines using Python, PySpark, SQL and Delta Lake. Implement full and incremental ingestion, CDC where appropriate, schema evolution, reconciliation, error handling and data quality controls. Design reusable integration patterns for REST … Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking, security, secrets, monitoring and private connectivity Databricks SQL, Delta Lake and performance optimisation Python, PySpark and SQL Jobs/workflows, incremental processing, CDC and data quality REST/API and external data integration ...

/column-level security, lineage and audit Build reusable Terraform modules for Databricks and automate platform changes through CI/CD pipelines Tune Spark, Delta and Photon workloads to improve performance and reduce DBU and cloud spend Manage identity, SSO/SCIM, service principals, secret scopes and network isolation … meet security and compliance needs Operate Databricks Workflows, Delta Live Tables and orchestration integrations used by Data Scientists and Data Support MLflow, model serving and feature store usage for predictive modelling and GenAI work Monitor jobs, clusters and warehouses; lead incident response and post-incident reviews QA own work ...

accelerate 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 Event ...

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 ...

skills – you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux‐based, concurrent, high‐throughput, low‐latency software systems Experience with pipeline … orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW’s processing activities ...

interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environmentExperience in the financial markets, especially in delta one, store of value, and/or FICC options tradingExperience with Linux-based, concurrent, high-throughput, low-latency software systemsExperience with pipeline orchestration frameworks … e.g. Airflow, Dagster)Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databasesHave a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experienceFor more information about DRW's processing activities ...

maintaining scalable data pipelines using Databricks and PySpark. Developing high-performance batch and streaming data solutions. Designing and implementing modern Lakehouse architectures using Delta Lake and medallion design principles. Optimising Databricks workloads for performance, reliability and scalability. Implementing data quality, monitoring, and observability frameworks. Supporting governance, security … engineers with strong hands-on Databricks experience. Essential Skills Commercial experience building solutions within Databricks. Strong hands-on expertise with PySpark, Spark SQL, and Delta Lake. Experience designing and supporting production-grade ETL/ELT pipelines. Strong Python and SQL development skills. Experience working with large-scale distributed data ...

maintaining scalable data pipelines using Databricks and PySpark. Developing high-performance batch and streaming data solutions. Designing and implementing modern Lakehouse architectures using Delta Lake and medallion design principles. Optimising Databricks workloads for performance, reliability and scalability. Implementing data quality, monitoring, and observability frameworks. Supporting governance, security … engineers with strong hands-on Databricks experience. Essential Skills Commercial experience building solutions within Databricks. Strong hands-on expertise with PySpark, Spark SQL, and Delta Lake. Experience designing and supporting production-grade ETL/ELT pipelines. Strong Python and SQL development skills. Experience working with large-scale distributed data ...

Role Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles Integrate data from ecommerce, ticketing, and marketing platforms into a central data layer Connect sources such as GA4, Google ...

PySpark. You write reusable, parameterized functions and work comfortably with JSON, CSV, and Parquet. Platform knowledge Deep experience with Databricks (Declarative Pipelines, DABS, Delta Lake, Spark optimization, job orchestration). Familiarity with the Azure ecosystem. Working understanding of Unity Catalog. About you Around 6 or more years ...

data concepts, including storage, processing, and modelling. Core requirements include:Databricks - hands-on experience building and managing workloads on the Databricks platform, including Delta Lake, Unity Catalog, and Declarative Automation BundlesPySpark - proficiency in writing and optimising PySpark code for data transformation and processingAzure - solid experience working within … Azure ecosystem, including services such as Azure Data Factory, Azure Data Lake Storage, and Azure DevOpsAzure SQL Server - experience with Azure SQL Server is important, as it forms the foundation of our existing data warehouse. You will be working across both our SQL Server environment and our Databricks platform ...

reviews and CI/CD.The ability to understand customer requirements and translate them into practical technical solutions.Excellent analytical, problem-solving and communication skills.Desirable experienceData-lake or lakehouse technologies such as Delta Lake, Apache Iceberg, Apache Hudi, Databricks, Snowflake or AWS Lake Formation.Image or video visualisation, enhancement ...

implementation of scalable data architectures on the Databricks Lakehouse platform. Oversee the development of efficient ETL/ELT pipelines using PySpark, SQL, and Delta Lake. Mentor and guide junior data engineers, promoting best practices in code quality, CI/CD, and performance tuning. Collaborate with data architects, analysts … London office for 3 days per week for collaborative working and stakeholder engagement. Essential Requirements & Skills Databricks Expertise: Extensive hands-on experience with Databricks, Delta Lake, Unity Catalog, and Spark optimization. Programming Languages: Advanced proficiency in Python/PySpark and SQL. Cloud & Infrastructure: Strong background in cloud data ...

Senior Data Engineer – Databricks & DLT (Delta Live Tables) Certain Advantage are recruiting on behalf of our trading client for a Senior Data Engineerwith strong analytical capabilities and hands‐on experience in building scalable data solutions using a programming language like Python or Scala as well as experience in Databricks … Delta Live Tables - This experience is essential. Suitable candidates will have expertise inDatabricks,streaming architectures, data ingestion frameworks, anddashboarding, along with experience working withSAP data sources. You will be responsible for designing and implementing scalable data pipelines and enabling real‐time and batch analytics across the organization. Your Responsibilities ...

transform, and model people data from multiple HR and workforce systems — including Workday — into a governed, enterprise-grade data model built on Databricks and Delta Lake. Data Modelling & Standards: Own and evolve canonical people data structures across the global people data platform. Define and enforce schemas, ingestion patterns … data models in a cloud environment Strong proficiency in SQL; solid Python and/or PySpark capabilityDemonstrable experience with Databricks, Apache Spark, and Delta Lake architectureProven ability to design and own enterprise-grade canonical data models across multiple upstream source systemsExperience integrating data from APIs and diverse upstream ...

data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS). SQL Database ...

workflows and automated testing. Designing evaluation frameworks to benchmark, test and improve GenAI system performance and reliability. The Individual Strong expertise with Databricks, including Delta Lake, Unity Catalog, DLT and MLflow. Deep knowledge of Large Language Models including GPT, Llama, Claude and Mistral. Experience building and deploying GenAI ...

data governance frameworks, metadata management, and regulatory compliancIt would be a bonus if you have:Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming architectures, or data observability toolingExperience leading architecture workshops with both technical and non-technical stakeholdersA background providing technical mentorship ...

have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark and SQL ·Develop scalable Lakehouse architecture using Delta Lake and Unity Catalog ·Build data and BI products from scratch and own them through to implementation ·Connect marketing, sales and operational data to create ...