1 to 25 of 33 PySpark Jobs in the North of England

data engineering team while partnering closely with product, BI, data science, and business stakeholders Experience required: Strong experience with Microsoft Fabric, Delta Lake, PySpark, Python, SQL, and modern ETL/ELT frameworks, alongside CI/CD practices using Azure DevOps or GitHub Hands-on expertise integrating Azure AI/ ...

Warehouses, and real-time analytics solutions in Fabric Strong SQL/T-SQL capability, including optimisation and development of reusable objects. Proficiency in Python (PySpark, Spark SQL beneficial). Experience working with structured/unstructured data, delta lake patterns, partitioning, and scalable pipeline design. Strong understanding of data modelling ...

tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake E xperience building and optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure ...

technical architecture and detailed design. •Expertise in building scalable ingestion frameworks (batch/streaming) using ADF, Databricks or Fabric pipelines. •Strong programming skills in PySpark, SQL, Python. •Experience implementing medallion architecture, delta lakes, and metadata‐driven pipelines. •Hands-on experience with DQ frameworks, validation rules and reconciliation logic. •Ability ...

pipelines and working with lakehouse architectures Knowledge of tools such as Azure Data Factory and/or Fabric Data Pipelines Experience with Python or PySpark for data transformation Understanding of data modelling (dimensional modelling, medallion architecture) Strong communication skills and ability to work with non-technical stakeholders Desirable: Experience ...

backgrounds. The technology stack is flexible, but experience in some of the following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake ...

modern data platform development. Deep hands-on experience with Microsoft Fabric, including Lakehouse, Data Warehouse, OneLake, Pipelines and Data Factory. Strong SQL, Spark/PySpark and data modelling capability across analytical and operational datasets. Proven experience delivering complex end-to-end data platforms in Azure or Fabric environments. Strong ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

business needs Ensure data quality, governance and best practice Key Requirements Strong leadership experience (5+ engineers) Solid Data Engineering/DataOps background Python/PySpark for data pipelines AWS experience (design & deployment) Strong data modelling & warehousing knowledge Agile (Jira/Azure DevOps) experience Get in touch for more details ...

Customer Experience, Finance and Operations can trust. Responsibilities Build, optimise and operate ELT/ETL pipelines into our data platform using SQL and Python (PySpark), with a focus on reliability, performance and maintainability. Develop and maintain core data models (curated layers, dimensional models, shared definitions) that enable consistent ...

data projects Key Requirements Proven leadership of multiple engineering teams Strong Data Engineering/DataOps background Experience in large, dataheavy environments Python/PySpark for endto-end pipelines Strong AWS experience (design & deployment) Deep knowledge of data modelling, warehousing & lakehouse concepts Strong stakeholder management and communication skills Agile delivery ...

production. Key skills and experience: Strong experience as a Data Engineer Advanced Python and SQL skills Experience with cloud platforms (AWS preferred) Proficiency in PySpark and/or Pandas Familiarity with data quality tools (e.g., Great Expectations) Experience with infrastructure as code (Terraform or CloudFormation) Understanding of modern development ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data ...

notebooks) Experience building or working within modern data warehouse architectures Ability to get up and running quickly without heavy onboarding Nice to have: Python, PySpark or Spark experience Exposure to APIs and external data integration Experience working in evolving or transforming data environments Most importantly, youll be someone ...

notebooks) Experience building or working within modern data warehouse architectures Ability to get up and running quickly without heavy onboarding Nice to have: Python, PySpark or Spark experience Exposure to APIs and external data integration Experience working in evolving or transforming data environments Most importantly, youll be someone ...

teams. What we're looking for: Strong people leadership experience (5+ team size) Solid Data Engineering/DataOps background Experience with AWS, Python/PySpark, ETL/ELT pipelines Strong understanding of data platforms (Data Lake/Lakehouse/EDW) Hybrid working (3 days in office) + strong bonus ...

other MLOps and ML Lifecycle stacks Experience with Docker and Kubernetes Experience in creating production grade coding Experience in programming languages (eg Python, PySpark, R, SAS, SQL) Experience in GitHub Strong communication skills both verbally and written ...

architecture assessment, discovery, or technical review work Hands-on expertise with Azure data platforms (Databricks, Synapse, Fabric) Strong programming skills in SQL, Python, and PySpark Knowledge of streaming technologies (Kafka, Azure Event Hubs) ETL experience using Azure Data Factory Strong stakeholder management skills, including experience working with senior leadership ...

dashboards, DAX, M queries and semantic modelling. Build robust, optimised SQL Server data models and queries. Work within a Databricks environment (SQL/PySpark exposure is beneficial; training provided if needed). Engage directly with business stakeholders to gather requirements, understand challenges and translate them into technical solutions. Support ...

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 ...

GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by technical excellence Driven to deliver iterative ...

deploying the Lakehouse platform in Azure. Owning Databricks engineering, administration and platform optimisation. Designing end-to-end data platform solutions Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. Creating and maintaining CI/CD pipelines and automated testing frameworks. Developing APIs to support integration Implementing monitoring … logging and alerting for platform reliability. YOUR SKILLS AND EXPERIENCE: Deep expertise in Databricks, PySpark, Python and SQL. Proven experience designing and delivering Lakehouse solutions. Strong DevOps capabilities, including CI/CD and automated testing. Experience with Infrastructure as Code and cloud automation. Familiarity with monitoring, logging and alerting ...

deploying the Lakehouse platform in Azure. Owning Databricks engineering, administration and platform optimisation. Designing end-to-end data platform solutions Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. Creating and maintaining CI/CD pipelines and automated testing frameworks. Developing APIs to support integration Implementing monitoring … logging and alerting for platform reliability. YOUR SKILLS AND EXPERIENCE: Deep expertise in Databricks, PySpark, Python and SQL. Proven experience designing and delivering Lakehouse solutions. Strong DevOps capabilities, including CI/CD and automated testing. Experience with Infrastructure as Code and cloud automation. Familiarity with monitoring, logging and alerting ...