Database Engineer- NoSQL & Oracle

Pracyva ltd; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Pracyva ltd in London seeks a Database Engineer specializing in SQL and Oracle for a BFSI client. The role requires 5+ years of experience and hands-on work with Oracle SQL, PL/SQL, and NoSQL databases.

You will design, implement, and tune database solutions, develop scalable ETL pipelines, and collaborate with engineering teams to ensure secure, reliable data services across large-scale environments.

Qualifications

• 5+ years of experience as SQL & Oracle Database Engineer.
• Experience with Oracle SQL, PL/SQL, stored procedures, functions, and packages.
• Experience designing NoSQL databases and data models.

Responsibilities

• Design, develop, and optimize Oracle database solutions using SQL, PL/SQL, stored procedures, functions, and packages.
• Build and maintain scalable data models, integrations, and ETL processes.
• Perform database performance tuning, query optimization, and troubleshooting.
• Collaborate with application teams to deliver secure, high-quality and scalable database solutions.
• Design, develop, and maintain scalable NoSQL database solutions (MongoDB, Cassandra, Couchbase).
• Optimize indexing, data replication, and availability for large-scale environments.

Skills

SQL

Oracle

NoSQL

Tools

MongoDB

Cassandra

Couchbase

Job description

We are seeking Database Engineer- SQL & Oracle, in London for BFSI client.

5+ years of experience as SQL & Oracle Database Engineer

Oracle:

• Design, develop, and optimize Oracle database solutions using SQL, PL/SQL, stored procedures, functions, and packages.
• Build and maintain scalable data models, integrations, and ETL processes supporting enterprise applications.
• Perform database performance tuning, query optimization, and troubleshooting to ensure reliability and scalability.
• Collaborate with application teams to deliver secure, high-quality, and efficient database solutions.

NoSQL

• Design, develop, and maintain scalable NoSQL database solutions using MongoDB, Cassandra, Couchbase, or similar technologies.
• Build high-performance data models and APIs to support distributed and real-time applications.
• Optimize indexing, query performance, replication, and data availability across large-scale environments.
• Collaborate with engineering teams to implement secure, reliable, and scalable data management solutions.