Data Engineer with SQL

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