PL/SQL Developer – Data Quality & Data Management

Information about the project: Location: fully remote Industry: banking We are looking for a strong PL/SQL Developer to join a data management team within the banking sector. This role requires hands-on, advanced database expertise. We are not looking for someone with only exposure to SQL through reporting tools. We need a professional who actively writes complex queries, develops functions and stored procedures, and works directly with databases in production environments. The team focuses on customer data and data quality within a data lake architecture. Responsibilities • Analyzing and improving data quality within the data lake • Identifying and resolving data inconsistencies and gaps • Reviewing, analyzing, and optimizing existing PL/SQL code • Developing and maintaining functions and stored procedures • Writing advanced SQL queries to analyze large volumes of data • Working with GitHub (code reviews, commits, bug tracking, version history) • Collaborating closely with developers and business stakeholders • Supporting alignment between core banking and account systems • Identifying missing or inconsistent data across systems Must Have • Strong hands-on experience with PL/SQL (functions, stored procedures, performance tuning) • Advanced SQL skills – ability to independently write complex, multi-join, analytical queries • Solid experience working directly with Oracle databases • Practical experience with Python / PySpark • Strong data analysis capabilities • Experience with Jira and Confluence • Ability to respond clearly and logically to technical questions • Good communication skills in English Nice to Have • Experience with data governance processes • Familiarity with the Hadoop ecosystem • Understanding of data lake architecture • Experience working in banking or regulated environments • Experience with tools/environments such as Jupyter, Starburst or similar Ideal Candidate We are looking for someone who: • Writes complex SQL queries independently (not only through BI tools) • Can compare data across databases and spot inconsistencies • Investigates data issues on their own • Has current, hands-on database experience • Understands how data, systems, and business processes connect