Python Databricks Data Engineer

We are looking for a Senior Data Engineer (contract) with strong experience in Python and Databricks to join our Client team in London. Key Skills: Strong experience in PythonHands-on experience with DatabricksStrong data engineering background ( NO VISA SPONSORSHIP ) Prefer candidates currently residing in London Job Details: Position: Senior Data Engineer - Python, Databricks Location: London 6 Months Contract (InsideIR35) 5 days onsite work per week Job Summary: As a Senior Data Engineer in Enterprise Platforms, you will join an agile team focused on enterprise communication data and building scalable data pipelines on the Palmos platform for regulatory controls. You will design, develop, and maintain secure, reliable, and scalable data solutions that support business controls, analytics, reporting, and AI/ML use cases across the firm. You will collaborate with domain teams, platform engineering, and operations partners to deliver high-quality curated datasets aligned to our data mesh architecture and Palmos platform standards. You will play a key role in advancing our data capabilities and driving innovation. Required Qualifications, Capabilities, and Skills: Hands-on experience with Databricks, Spark/PySpark, Python, and SQLExperience developing and maintaining data pipelines and data processing systemsUnderstanding of the data lifecycle, including ingestion, transformation, storage, and consumptionKnowledge of cloud platforms (AWS) and distributed data processingExperience with SDLC practices including CI/CD, testing, and deploymentStrong problem-solving skills and ability to troubleshoot data and pipeline issuesAbility to collaborate effectively within agile teams and across stakeholdersHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred Qualifications, Capabilities, and Skills: Experience with Databricks lakehouse, Databricks Genie, Delta Lake, and medallion architectureFamiliarity with enterprise data platforms and data mesh principlesExposure to data quality, observability, and metadata management toolsExperience supporting analytics, reporting, or AI/ML workloadsExperience working on regulatory controls For the complete job details, interested candidates may share their updated CV or queries at anita.gokul@alphayotta.com.