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Salary
$76k – $80k per year
Location
Remote (Poland)
Employment
Full-Time
Overview
Company
Impact
Profile match
Emagine is a pan-European business and technology consultancy specializing in high-end IT consulting and business transformation. Headquartered in Denmark, the company provides expert advice, managed teams, and managed services to enterprise clients in industries such as banking, finance, and telecommunications.

We are looking for a strong PL/SQL Developer to join a data management team within thebanking 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

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