1 to 25 of 85 Remote/Hybrid Permanent PySpark Jobs

standards and best practices. About you Extensive experience designing and delivering enterprise-scale data engineering solutions Strong hands-on experience with Azure Databricks, including PySpark, Delta Live Tables and Databricks Workflows and orchestration Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services ...

understanding on Master Data Services, DQ profiling, cleansing, update, DQ reports, Purview. Strong experience with at least one of the programming languages (Python, Scala, PySpark). Knowledge and experience using the Microsoft technology stack and associated development tools. Experience working with SharePoint, PowerPivot, PowerBI and deep knowledge ...

using Azure Databricks. Build robust ETL/ELT solutions using Azure Data Factory and Microsoft Fabric. Develop high-performance data processing solutions using Python, PySpark, and SQL. Implement Delta Lake and Lakehouse architectures following industry best practices. Work with Azure Data Lake Storage (ADLS Gen2) to manage large-scale ...

with Microsoft Fabric technologies including OneLake, Lakehouse, Warehouse, Data Factory, Spark and Power BI. Strong Engineering Skills - You're proficient in SQL, Python and PySpark, with experience developing scalable and maintainable data solutions. Modern Data Platform Experience - You've successfully built, enhanced or operated cloud-based data platforms, ideally ...

skills (Conceptual, Logical, Physical and Dimensional)Extensive Azure Databricks experience within large-scale enterprise environmentsDatabricks Lakehouse Architecture and Medallion Design PatternsDatabricks Data Engineering using PySpark and Spark SQLDelta Live Tables (DLT)Unity Catalog implementation and governanceDatabricks WorkflowsDatabricks Asset Bundles (DABs)Databricks Solution AcceleratorsMetadata-Driven Ingestion and Orchestration FrameworksMLflow, Feature ...

data quality best practice.Strong problem-solving skills and attention to detail.The ability to communicate effectively with both technical and business stakeholders.Desirable ExperiencePython or PySpark development within Microsoft Fabric.CI/CD practices for data engineering and data product delivery.Experience within legal services or another professional services environment.Exposure to systems such ...

contribute to long-term platform innovation Required Experience Strong experience designing enterprise data platforms within Microsoft Azure environments Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture Strong hands-on experience with Snowflake architecture and optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse ...

APIs, Prometheus, or Azure Monitor.• Maintain best practices for data engineering performance, testing, and documentation.Technical Skills Required• Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake.• Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies.• Experience tuning job configurations (e.g., memory management, parallelism ...

OneLake, pipelines and notebooks, and how these can be used to build scalable enterprise data solutions. Strong experience with SQL, Python and/or PySpark and modern data engineering approaches. Strong understanding of data architecture and data modelling, including designing reusable and scalable data structures. Experience implementing modern software ...

Skills Significant experience leading the design, development, and operation of enterprise-scale data engineering platforms and teams. Strong technical expertise in SQL and Python, PySpark, or equivalent technologies for data ingestion, transformation, and validation. Experience with Microsoft Fabric or similar modern cloud-based analytics and data platforms. Strong experience ...

Skills Significant experience leading the design, development, and operation of enterprise‐scale data engineering platforms and teams. Strong technical expertise in SQL and Python, PySpark, or equivalent technologies for data ingestion, transformation, and validation. Experience with Microsoft Fabric or similar modern cloud‐based analytics and data platforms. Strong experience ...

Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure ...

analytics strategy AI & Automation Agentic AI patterns and intelligent automation solutions Document intelligence and AI-driven business use cases SQL Python and/or PySpark Data pipelines and transformation frameworks CI/CD concepts and deployment automation Azure DevOps and/or GitHub Infrastructure as Code awareness Environment promotion ...

Strong hands-on experience with Quantexa implementation and development. Proven experience building and supporting big data platforms . Advanced knowledge of Apache Spark/PySpark . Strong programming skills in Scala and/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across ...

Looking ForProven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions.Strong technical skills in Python, PySpark, and SQL, with experience working with distributed data processing frameworks.Expertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse ...

working across Architecture, Engineering, Product, and Business teams. Data Engineering & Platforms Strong hands-on experience with: Databricks Delta Lake Unity Catalog dbt Spark/PySpark Data pipeline development and optimisation Lakehouse architectures ETL/ELT frameworks Enterprise data platform implementation Cloud Technologies (AWS) Experience with: Amazon S3 AWS Glue ...

Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure ...

relevant data solutions development qualifications (e.g. Microsoft certification; Databricks Certification; data apprenticeship qualifications)Additional InformationTech StackSQL Server, SSIS, T-SQLADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lakeSummaryType: Full-timeFunction: Analyst ...

good understanding of Azure PaaS management and resource monitoring CI/CD experience and DevOps Working knowledge of SQL and experience in Python/PySpark Microsoft Power Platform Ability to collect, organize, and analyze data from multiple sources to solve business challenges. Knowledge in testing and validating Analytical solutions ...

Looking ForProven expertise with the Databricks platform, including Unity Catalog, Delta Lake, orchestration, and enterprise-scale Azure deployments.Strong technical skills in Python, PySpark, and distributed data processing frameworks, with experience building production-grade data platforms.Extensive experience implementing CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or equivalent ...

data architecture, data warehousing and cloud data platforms Hands-on experience with Azure technologies Experience developing ETL/ELT solutions Experience with Python, PySpark, Microsoft Fabric, streaming technologies or large-scale enterprise environments would be advantageous. In return they are offering A salary of up to £50,000 Hybrid ...

about its values Values | PA ConsultingWe use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI.QualificationsEssential requirements Even if you don’t meet every requirement below, feel free to still apply ...

about its values Values | PA ConsultingWe use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI.QualificationsEssential requirements Even if you don’t meet every requirement below, feel free to still apply ...

required as well as a solid understanding of working in a cloud-based environment (AWS is preferred).Proficient using transformation tools such as PySpark/Pandas.Knowledge and practice of graph databases is preferred but not required.Key responsibilities/Skills and experienceFamiliarity using data quality frameworks, ie. Great Expectations.Experience building ...

with Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architecture Hands-on experience with Databricks, Unity Catalog and Delta Lake Strong SQL and PySpark skills Experience implementing Medallion Architecture principles Knowledge of data modelling methodologies including Star Schema and Data Vault Strong understanding of data governance, security ...