7 of 7 PySpark Jobs in the Midlands

someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security ...

assure enterprise-aligned data integration architectures Optimise cloud platforms (Azure, AWS, Databricks) for performance and cost Build and own ETL/ELT pipelines using PySpark, SQL and orchestration frameworks Automate and modernise legacy data processes with reusable patterns Design robust data models (Delta Lake, schema evolution, metadata, lineage) Ensure … reviews Collaborate with stakeholders to translate complex technical decisions clearly Support strategic roadmap, tooling and continuous improvement initiatives Core Skills & Expertise Data Engineering Advanced PySpark and SQL, performance tuning and best practice coding Data modelling (conceptual, logical, physical) and integration design Data quality, testing frameworks and automated validation Strong ...

scalable, high-quality data platform from the ground up. The 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 … Microsoft Fabric (Lakehouse, Warehouse, pipelines). Azure Data Factory experience will also be considered if no working experience with fabric Advanced SQL and strong PySpark experience Proficiency in Python for data processing and API integration Experience building Power BI models and dashboards for business reporting Strong understanding ...

ecosystem. This role will focus on building enterprise-grade data pipelines, migration frameworks and transformation processes using Azure Synapse Analytics, Azure Data Factory (ADF), PySpark, Python and SQL. You will work closely with technical and business stakeholders to ensure successful delivery of data migration and integration initiatives. Key Responsibilities … Data Factory (ADF). Develop Change Data Capture (CDC) solutions to support incremental and delta data loads. Create data transformation and cleansing processes using PySpark and Spark DataFrames. Develop Python-based utilities and automation scripts to support migration and validation activities. Design and optimise data models, SQL queries, stored ...

contribute to building scalable data pipelines and improving engineering standards across the platform. Responsibilities include: Building and maintaining robust data pipelines using Python and PySpark Supporting CI/CD processes and applying DevOps best practices Contributing to code deployment, testing, and release processes Collaborating with engineers, QA specialists … exposure to data modelling and machine learning workflows over time Your Skills & Experience Hands-on experience with Python and data engineering concepts Exposure to PySpark and large-scale data processing Familiarity with Databricks or similar modern data platforms Understanding of software engineering principles and version control Interest ...

lead for complex data initiatives, providing guidance on solution design, engineering standards and implementation approaches Design, build and optimise distributed data processing pipelines using PySpark, Python, Airflow and AWS services Drive engineering excellence through code reviews, technical coaching, design reviews and adoption of software engineering best practices Partner closely … Lead Data Engineer, Principal Data Engineer or Technical Lead within a large-scale, data-driven organisation Strong hands-on software engineering expertise with Python, PySpark and Apache Airflow Deep experience designing and building distributed data processing systems and large-scale data platforms on AWS Strong knowledge of modern ...

Architectural Leaders hipDefine and evolve the enterprise data architecture strategy, with a primary focus on Cloud-scale Distributed Data Processing using Apache Spark and PySpark at the core of the platf ormEstablish and maintain architectural artefacts, reference architectures, Architecture Decision Records (ADRs), technical standards, and architecture roadmaps … large, complex, data-led organisation, operating at an influence and strategy level rather than hands-on de liveryExpert-level understanding of Apache Spark and PySpark as the foundation of distributed data processing architectures, including tuning, optimisation, and enterprise-scale deployment pa tternsDeep expertise in designing and evolving Data LakeHouse ...