26 to 50 of 76 Remote/Hybrid Delta Lake Jobs

batch data ingestion solutions using Azure Event Hubs, Kafka, Databricks Structured Streaming and Azure Stream Analytics Developing and maintaining modern data platforms, including Delta Lake/Lakehouse architectures on ADLS Gen2, curated datasets, dimensional models and Azure Synapse Dedicated SQL Pools Analysing current business practices, processes and procedures … essential with a regulated environment is essential Significant experience with data solution design experience in an MI/BI/Analytics environment (Kimball, lake house, data lake) is essential Significant experience using: Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure Data Lake, Datra bricks, Purview ...

Must Have: At least 7 years as an Engineer in a Data Field Strong Azure data skills, including: Azure Data Factory V2 Azure Data Lake Storage V2 Azure Databricks Azure Function Apps& Logic Apps Azure Stream Analytics Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell … Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write unit and integration tests in Python with unittest, pytest, etc. Strong understanding of software development practices, such as SOLID principals, structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball ...

secure networks Specialist tracks (we'd love depth in one of these; you don't need all of them) Azure/Databricks Azure Data Lake Storage, Databricks, Apache Spark, Delta Lake, Azure Data Factory, MLflow; and, for the AI edge, Databricks Mosaic AI, Vector Search and Unity ...

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 ...

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 ...

delivery of complex Data & AI programmes, including planning, mobilisation, resourcing, financial management, delivery governance, risk and dependency management.Deep expertise across Databricks including Delta Lake, Unity Catalog, Spark, Lakehouse architecture, Databricks SQL, Workflows, Delta Live Tables, MLflow, Mosaic AI, Agent Bricks, Vector Search, and broader Data & AI Intelligence ...

patterns, batch and streaming ingestion, event driven design Databricks and/or Microsoft Fabric at architecture level Azure Data Factory, Synapse, Azure SQL, Data Lake Storage Gen2 Advanced SQL, Python or PySpark, Spark optimisation, Delta Lake, Unity Catalog Azure DevOps or GitHub Actions, Terraform or Bicep Entra ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

continuous improvement initiatives. Key Skills & Experience Proven experience as a Data Engineer within production environments. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python and SQL. Experience building and supporting scalable ETL/ELT pipelines. Strong understanding of distributed data processing and data modelling. Cloud platform ...

Service) Mandatory Skills Azure Databricks Platform Engineering Hands-on implementation and troubleshooting of Azure Databricks Databricks Serverless configuration and workload optimisation Databricks SQL and Delta Lake development Cluster management, compute policies, autoscaling, and workload monitoring Data Engineering Strong Python, PySpark, and SQL development skills Design and build ingestion ...

Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. Job Requirements Strong proficiency in PySpark, Databricks SQL, T-SQL, and handling Delta Lake formats Hands‐on experience building production pipelines inside Databricks workspaces and Fabric capacities Practical knowledge of structural data formats including Parquet, JSON … pipelines and implementing automated data quality checks Job Responsibilities Construct scalable data ingestion pipelines using Fabric Data Factory, Dataflow Gen2, and Databricks Workflows. Implement Delta Live Tables (DLT) to automate batch and real-time streaming data processing. Build and maintain the Medallion Architecture silver & gold layer across shared storage. ...

legacy operational platforms. Experience with regulatory, client or operational reporting. Experience supporting data migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing ...