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Data Science & Analytics 3h ago

Financial Data Systems Specialist

PolandPoland
Full-time
Not Disclosed
Mid-level

Job Description

Key Skills Required

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Data AnalystBestseller 🔥
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Data ScientistData Warehouse

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About Softeta: Softeta is an elite, high-stakes software engineering and digital transformation partner specializing in building and modernizing backend-heavy, integration-critical systems for the finance, banking, industrial, and energy sectors. Backed by a powerful network of over 90+ artificial intelligence and custom systems experts across engineering hubs in Lithuania and Poland, Softeta embeds itself directly into client operations to deliver custom automation and high-availability database engines where reliability is absolute.

Position Overview

We are seeking a technically deep Financial Data Systems Specialist to support a high-signal enterprise client operating within the premium banking sector. In this database-heavy technical track, you will be responsible for designing, building, optimizing, and maintaining the underlying data architecture and financial reporting data warehouses. Moving beyond simple analytics, you will ensure the flawless execution of daily and monthly batch process launches, engineer scalable data archiving strategies, and drive advanced SQL query performance tuning to protect long-term financial data integrity.

Key Responsibilities

  • Data Warehouse Batch Operations: Own and govern the successful scheduling, monitoring, and execution of high-volume daily and monthly process launches within core financial reporting repositories.
  • Performance Engineering & Tuning: Perform comprehensive optimization on complex SQL queries, managing execution plans, data engine indexes, and physical schema modifications under stress.
  • Scalable Archiving Infrastructure: Design, test, and implement robust database archiving strategies to reduce production storage strain while guaranteeing backward data integrity and compliance tracking.
  • Software Release Coordination: Plan, align, and coordinate financial reporting system software releases across development, staging, and live banking environments.
  • Complex System Troubleshooting: Root-cause complex transactional processing bottlenecks, pipeline synchronization failures, and integration issues across cross-functional infrastructure units.

Required Skills & Qualifications

  • Proven professional history operating as a Data Systems Specialist, Database Administrator, or Data Engineer inside high-stakes enterprise or banking ecosystems.
  • Advanced, production-grade technical mastery of relational SQL databases, with an explicit emphasis on schema design, query tuning, and index optimization.
  • Deep structural understanding of asynchronous enterprise data processing workflows, ETL/ELT pipelines, and operational ledger tracking.
  • Demonstrated capacity to coordinate technical software release patterns calmly within structured Agile frameworks.
  • Outstanding analytical problem-solving mechanics paired with a meticulous attention to minor data discrepancies.
  • Language Fluency: Complete business-level written and spoken English proficiency.
  • Location Context: Flexible hybrid or remote-first workspace infrastructure model open exclusively to qualified technical leads permanently based inside Poland.

Preferred Strategic Indicators (Nice to Have)

  • Prior technical exposure to custom reporting infrastructures, core banking systems, or financial audit tools.
  • Basic familiarity with Infrastructure as Code primitives or cloud data lake topologies.

What We Offer

  • The exceptional opportunity to step into a technically challenging data engineering position backing a prominent enterprise financial platform.
  • Highly competitive compensation package calibrated transparently against database optimization experience depth.
  • Flexible working hour models built around an efficient Agile/SCRUM development runtime.
  • Full remote-first or hybrid autonomy, supplemented by premium corporate technical equipment arrays of your own choice.

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