51 to 67 of 67 Permanent PySpark Jobs

quality and structure of data Translate business needs into clear technical plans Experience required: Strong skills in data modelling SQL with either Python or PySpark Databricks or similar cloud data platform Experience communicating with both technical and non-technical users Leadership or mentoring experience Insurance or regulated sector experience ...

data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data ...

strategy. About you - Extensive Technical Expertise : Strong knowledge of Microsoft Fabric components including OneLake , Lakehouse/Warehouse, Delta Lake, Direct Lake, Data Factory, Spark ( PySpark/Scala ) and Power BI (DAX and semantic modelling). Advanced Programming and Data Engineering Skills : Proficient in Python, SQL and T-SQL with … experience in PySpark ; familiarity with KQL for real-time analytics and robust ELT design using medallion architectures. Proven Experience in Modern Data Platforms : Track record of building and operating Azure-based data platforms, ideally in greenfield or transformational contexts, with integration across on-premise , cloud and third-party sources. ...

development and optimisation of scalable data and pipelines in a cloud-based environment, building and managing ETL processes using tools such as Azure, Databricks, PySpark and SQL click apply for full job details ...

Sales, Customer Care and Logistics. What You'll Do Lakehouse Engineering (Azure + Databricks) Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL. Work within a Medallion architecture (Bronze ? Silver ? Gold) to deliver reliable, high-quality datasets. Ingest data from multiple sources including ChargeBee … Databricks: Lakeflow Declarative Pipelines, Lakeflow Workflows, Unity Catalog, Delta Lake Azure: ADLS Gen2, Data Factory, Event Hubs (optional), Key Vault, private endpoints Languages: PySpark, Spark SQL, Python, Git DevOps: Azure DevOps Repos & Pipelines, CI/CD Analytics: Power BI, Fabric What We're Looking For Experience Commercial and proven ...

Sales, Customer Care and Logistics. What You'll Do Lakehouse Engineering (Azure + Databricks) Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL. Work within a Medallion architecture (Bronze Silver Gold) to deliver reliable, high-quality datasets. Ingest data from multiple sources including ChargeBee … Databricks: Lakeflow Declarative Pipelines, Lakeflow Workflows, Unity Catalog, Delta Lake Azure: ADLS Gen2, Data Factory, Event Hubs (optional), Key Vault, private endpoints Languages: PySpark, Spark SQL, Python, Git DevOps: Azure DevOps Repos & Pipelines, CI/CD Analytics: Power BI, Fabric What We're Looking For Experience Commercial and proven ...

. Maintain/implement data warehousing solutions and manage large-scale data storage systems (e.g. Microsoft Fabric) Build and optimise SQL queries, stored procedures, PySpark notebooks and database objects to ensure data performance and reliability. Migrate and modernise legacy databases to cloud-based architectures. Database Administration Administer, monitor … normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc. Experience with Python, PySpark, or Scala for data processing. Familiarity with CI/CD practices. Experience with Data lake, Data warehouse and Medallion architectures. Understanding of API integrations ...

deliver scalable, high-quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within Databricks Build reliable data ingestion frameworks using PySpark and Spark SQL Design well-structured data models across medallion/lakehouse architecture Work with DevOps teams to automate deployments using CI/… Ensure compliance with best practices around data governance, security, and quality Requirements: Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables) Proficiency in PySpark and Python Hands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud services Understanding of Delta Lake, streaming pipelines, and lakehouse ...

that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance to support this critical programme. Lead Databricks Engineer: Key Responsibilities Build … maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze, Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring, logging ...

Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong ...

Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong ...

Your new company This is a pivotal opportunity to join the Data and Innovation division of a large complex organisation leading the delivery of SAM (Supervisory Analytics and Metrics)-a transformative programme enhancing supervisory decision ...

Design end-to-end data architectures using Medallion (Bronze/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/… clients to translate business requirements into technical solutions Essential Skills Strong experience with Microsoft Fabric workloads (Lakehouse, Data Factory, Pipelines, Notebooks, Semantic Models) Advanced PySpark/Spark SQL for large-scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps ...

Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. Leading client workshops and guiding technical … technologies. What We're Looking For Hands-on experience with Microsoft Fabric workloads: Lakehouse, Data Factory, Pipelines, Notebooks, Delta Lake, Eventstreams, Semantic Models. Advanced PySpark/Spark SQL skills and strong data engineering fundamentals. Integration experience with Dynamics 365, Dataverse, Business Central. CI/CD expertise with Azure DevOps ...

Pyspark Engineer- (Data Engineering, AWS GLUE) SC Cleared OR Eligible Stevenage (Hybrid) 2-3 days onsite Up to £80,000 High-impact programme - Revolutionary platform I am looking for a Security-Cleared Pyspark expert to take the reins on a range of highly ambitious Data Migration projects supporting … databases and AWS cloud environments. Strong hands-on experience with ETL processes and tools (Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi) or scripting using Python, PySpark, and SQL. Solid understanding of data warehousing and modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks such as GDPR, HIPAA ...

development and optimisation of scalable data and pipelines in a cloud-based environment, building and managing ETL processes using tools such as Azure, Databricks, PySpark and SQL. The role would suit a strong Data Engineer with 2+ years' commercial experience working with cloud-based data tech (Azure & AWS), Python … relevant languages for ETL), relational and non-relational databases. Key skills required: Proficiency in implementing ETL pipelines Azure/AWS cloud proficiency Python/PySpark Strong SQL skills for database management SSRS/SSIS Ability to develop, optimise & maintain complex SQL queries & stored procedures (T-SQL) The role ...

responsible for: Designing end-to-end data architecture aligned with modern best practices. Building and managing ingestion pipelines using Databricks and related tools. Developing PySpark/Spark SQL notebooks for complex transformations and cleansing. Applying governance, security, and CI/CD best practices across cloud environments. Leading technical discussions … producing professional documentation. To be successful in this role, you will have: Hands-on experience with Databricks including Unity Catalog. Strong PySpark/Spark SQL skills for large-scale transformations. Experience integrating with diverse data sources such as APIs, cloud storage and databases. Experience with the Azure cloud data ...