Data Engineer

Job description:Data Engineer (Databricks andamp; PySpark)Role Type: 6-Month Contract (Subcon)Location: Bracknell, Hybrid (2 days/week in-office)Role Overview: We are seeking a mid-to-senior Data Engineer to build, optimize, and maintain scalable data pipelines within a cloud-distributed computing environment. You will act as an expert data wrangler, ensuring optimal data delivery architecture for software developers, data analysts, and data scientists.Core Responsibilities:Develop and operationalize reliable ETL/ELT pipelines for large, complex datasets.Assemble and transform unstructured data (JSON) into actionable insights.Perform logical data modelling, physical database optimization, and security implementation.Improve data integrity by implementing automated Data Quality checks.Provide On-Call support to unblock users and resolve high-severity pipeline issues.Collaborate with Data Science teams to streamline data delivery for advanced analytics.Technical Qualifications:Experience: 5+ years in Data Engineering and Pipeline Operationalization.Databricks/Spark: 3+ years of hands-on experience with Databricks and PySpark.Cloud: 3+ years of experience within AWS ecosystems.Unstructured Data: 3+ years of experience processing JSON and complex semi-structured data.SQL: Expert-level Advanced SQL skills (performance tuning, window functions, etc.).DevOps: Strong experience with GIT and CI/CD workflows.Visualization: Familiarity with Power BI or similar BI tools.Mandatory Skill ..... full job details .....