Data and Financial Engineering Analyst

Mindbox Sp. z o.o.; Kraków; Hybrid; PLN 140,000 - 200,000; Full time

Benefits offered by this job

Flexible cooperation

Hybrid work

Growth opportunities

Health care

Multisport card

Equipment provided

Job summary

Mindbox Sp. z o.o. w Krakowie poszukuje specjalisty ds. kontroli danych i inżynierii finansowej.

Dołączysz do zespołu Data Control i Financial Engineering, tworząc solidne, zautomatyzowane rozwiązania w Pythonie i SQL oraz migrując logikę z legacy SQL Server do skalowalnego stacku Pythonowego. Li-Hybrid: 2 dni w biurze, 3 dni zdalnie. Oferujemy elastyczny model współpracy, wsparcie rozwoju zawodowego, benefitów i sprzęt wysokiej jakości.

Qualifications

• Silne praktyczne doświadczenie w Pythonie i SQL, utrzymanie kodu produkcyjnego.
• Doświadczenie w ETL/ELT i bazach relacyjnych (preferowany SQL Server).
• Dobra znajomość zasad modelowania danych i praktyk SDLC, w tym code review i testowanie.

Responsibilities

• Projektowanie i utrzymanie zautomatyzowanych rozwiązań do kontroli i analityki (Python/SQL).
• Tworzenie i utrzymanie potoków ETL/ELT: pobieranie, transformacja, walidacja i publikacja danych.
• Zapewnienie jakości danych, klarowna dokumentacja i zgodność z procedurami.

Skills

Python

SQL

ETL/ELT

SQL Server

Jira

Git

Test-driven development

Data modeling

English communication

Education

Inżynieria / Finanse / Ekonomia

Tools

Jira

Git

Job description

O projekcie:

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

Ready to code the future of finance? Join us and turn complex data into powerful insights!

You will join the Product Control Data and Financial Engineering Team, collaborating closely with stakeholders to modernize controls and analytics. The main focus is on building robust, automated solutions using Python and SQL, migrating logic from legacy SQL Server into a scalable Python-based stack, and ensuring outputs are production-ready and policy-compliant through close cooperation with Technology teams.

Sounds like your kind of challenge?

Li-Hybrid

Kraków: 2 days office + 3 days remote/ week

What you get in return

• Flexible cooperation model - choose the form that suits you best (B2B, employment contract, etc.)
• Hybrid work setup - remote days available depending on the client's arrangements
• Collaborative team culture - work alongside experienced professionals eager to share knowledge
• Continuous development - access to training platforms and growth opportunities
• Comprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment - laptop and essential software provided

Wymagania:

• Strong hands-on experience in Python and SQL, writing maintainable, production-quality code.
• Proven knowledge of ETL/ELT development and relational databases (preferably SQL Server).
• Understanding of data modeling principles.Familiarity with Jira, Git, and test-driven development practices.
• Knowledge of SDLC best practices: versioning, code reviews, testing, documentation, and release management.
• Experience working with Financial data; familiarity with Product Control is an advantage.
• Degree in Engineering, Finance, Economics, or a related field.
• Excellent analytical, problem-solving skills and strong communication in English.

Joining this project you'll become part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We'll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

Codzienne zadania:

• Design, build, and maintain automated solutions to enhance controls and analytical processes (Python/SQL).
• Develop and maintain ETL/ELT pipelines: ingest, transform, validate, and publish datasets for downstream applications.
• Ensure comprehensive understanding of data sourcing and lineage, including data quality checks and reconciliations.
• Partner with stakeholders to ensure solutions align with business requirements and standard governance.
• Work with Technology teams to guarantee seamless integration, deployment, and support (access control, scheduling, release processes).
• Promote programming and data literacy within the team through documentation, best practices, and peer support.
• Contribute to consistent and standardized data delivery across teams.