14 of 14 PySpark Jobs in Manchester

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 ...

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 ...

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 ...

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 ...

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 ...

Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure as Code (Terraform). Experience with GitHub-based ...

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 ...

spoke, lake/lakehouse) Lead implementation of batch and real-time pipelines (Kafka, APIs, SFTP) Architect solutions using: AWS (S3, EMR, Glue) PySpark/Python Support cloud migrations and platform modernisation Ensure best practices in CI/CD, Terraform, observability, and governance Handle schema evolution, data quality, and performance … experience with AWS data platforms (S3, EMR, Glue) Expertise in data lake/lakehouse architectures Experience with Kafka/event-driven architectures Strong Python & PySpark skills Experience with Terraform and CI/CD pipelines Proven track record designing large-scale data solutions Desirable Experience with Microsoft Fabric (highly preferred ...

data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business … Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership ...

technical leadership and taking ownership. Key responsibilities include: Designing and building curated datasets using dimensional and semantic modelling techniques Developing and maintaining SQL and PySpark transformation pipelines Partnering closely with Data Engineers Translating business requirements into clear, well-documented data models YOUR SKILLS AND EXPERIENCE: Advanced SQL, including complex … transformations and modelling Databricks PySpark and working within a Lakehouse or modern data platform Dimensional modelling and analytics engineering best practices Communicating effectively with both technical and non-technical stakeholders THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

business. Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets. Develop and maintain robust SQL and PySpark transformations within Databricks. Work closely with data engineers, BI teams and stakeholders to translate complex requirements into trusted reporting. SKILLS AND EXPERIENCE The successful Analytics … following skills and experience: Strong commercial experience as an analytics focused engineer, rather than an analyst. Advanced data modelling capability, including dimensional modelling. Strong PySpark and SQL skills in production environments. Hands on experience with Databricks, including pipelines and governed data environments. A solid grounding in engineering best practices ...