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Tier‑1 brand, metro location, broad generalist data/ETL skillset increases candidate competition.
Core data engineering skills are transferable across industries though financial domain knowledge is advantageous.
Many mandatory technical skills (ETL, SQL, Java, cloud, containers, LLMs) imply high screening strictness.
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Develop, optimize, and maintain enterprise-scale ETL and data integration solutions within the Sonata Product Development team.
Design scalable, high-performance data pipelines while ensuring data quality, governance, and database performance across business applications.
Provide technical leadership, mentor teams, collaborate across application, analytics, cloud, and DevOps groups, and handle critical production issue resolution.
Strong experience in ETL/ELT development, SQL query writing and optimization, and relational databases such as Oracle, PostgreSQL, or MySQL.
Hands-on experience with Java (Core Java, Spring/Spring Boot, RESTful services) and cloud platforms (AWS, Azure, or GCP).
Exposure to containerization and orchestration tools (Docker, Kubernetes), DevOps practices including CI/CD pipelines, and source code management tools like Git.
Work Experience Required: Not explicitly mentioned in the JD. Availability for occasional UK business hours and extended hours/weekends as needed.
Experienced in technical leadership within product development environments focusing on data engineering and integration at enterprise scale.
Capable of working under pressure and managing priorities in a fast-paced, dynamic, cross-functional team environment interacting with business stakeholders.
Familiar with advanced data concepts such as generative AI integration, prompt engineering, vector databases, microservices architecture, and strong analytical and communication skills.