Python Developer

Explore Group; Województwo mazowieckie; Hybrid; PLN 180.000 - 260.000; Vollzeit

Zusammenfassung

Explore Group in Warsaw, Poland, is expanding its data engineering team in a hybrid setup with weekly office visits. The role focuses on building and maintaining data pipelines and high-scale processing for assets worth trillions of euros.

Junior level requires 1–2 years of experience with Python and SQL, while Senior level demands 3–5 years and deep SQL/performance expertise. A BSc/Inżynier in CS is required. English skills at B1/B2 for junior and fluent for senior.

Qualifikationen

• 1–2 years of commercial software or data engineering experience for junior level; strong Python and SQL skills.
• 3–5 years of commercial experience with expert-level SQL and enterprise-scale performance tuning for senior level.
• Bachelor of Science in Computer Science, Software Engineering, or related technical discipline.

Aufgaben

• Build and maintain robust data pipelines and automated processing services using Python and relational databases.
• Senior level: lead SQL optimization, indexing, execution plan tuning, and performance profiling across large tables.
• Integrate data frameworks to streamline ingestion, transformations, and transaction fee logic.
• Collaborate with distributed engineering and infrastructure teams across Europe in a hybrid structure.

Kenntnisse

Python

SQL

PostgreSQL

Data pipelines

Polars

English

Ausbildung

BSc / Inżynier in CS

Tools

Polars

Jobbeschreibung

Location: Warsaw, Poland (Hybrid, weekly office visits)

Contract Type: B2B Contract

Start Date: ASAP

About the Project

We are expanding our data engineering team to build and maintain high-scale transaction fee calculation and portfolio management engines supporting platforms managing over one trillion euros in assets. You will design, develop, and optimize data processing workflows handling large-scale datasets, ensuring peak operational performance, database resilience, and processing speed.

Key Responsibilities

• Build and maintain robust data pipelines and automated processing services using Python and relational database engines
• For Senior engineers: lead advanced SQL query optimization, indexing strategies, execution plan tuning, and performance profiling across tables containing millions of rows
• Integrate data frameworks to streamline ingestion, transformations, and transaction fee logic
• Collaborate closely with distributed engineering and infrastructure teams across Europe in a hybrid structure

Requirements

• Junior Level: 1 to 2 years of commercial software or data engineering experience with strong Python and SQL skills
• Senior Level: 3 to 5 years of commercial experience with expert-level SQL and deep knowledge of performance tuning at enterprise scale
• Bachelor of Science (BSc / Inżynier) degree in Computer Science, Software Engineering, or a related technical discipline
• Hands‑on experience with relational databases, with PostgreSQL strongly preferred
• Familiarity with high‑throughput Python data libraries; experience with Polars is a distinct advantage
• Strong communication skills in English (B1/B2 minimum for Junior, fluent for Senior)