JustJoin.IT Hybrydowo Senior New

Data Engineer (AI project)

Jit Team

⚲ Gdańsk

22 000 - 26 000 PLN netto (B2B)

Wymagania

  • Python
  • PySpark
  • AWS

Opis stanowiska

Salary: 1100-1300 PLN/day on B2B Work model: elastic hybrid from Gdynia / Gdańsk / Warszawa / Łódź (at least 2 days per week from the office)   Why choose this offer? • You can expect a flexible work organization • The international work environment will give you the opportunity to interact with the English language on a daily basis • Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit) • The Jit community will bring you a nice time during regular integration meetings     Responsibilities you'll have • Design, build, and maintain scalable data pipelines ingesting data from internal banking systems, and external data providers • Develop and optimize data models for corporate lending domains, potentially involving loan origination, credit exposure, deal flow, and repayment history • Implement data quality checks, validation rules, and data lineage to ensure reliable and transparent data • Manage and evolve the data warehouse and data lake to support analytics, reporting, and machine learning use cases • Ensure data processing and storage comply with regulatory, security, and data governance requirements • Work closely with product managers, engineers, and lending domain experts in an agile team • Translate data insights and model outputs into clear, actionable recommendations for SMEs and business stakeholders • Document data pipelines, models, and key design decisions to support auditability and knowledge sharing   Expected competences and knowledge • Experience with building and maintaining predictive models that support lending and risk decisions, such as credit risk, probability of default, and early warning indicators • Experience with machine learning models  performance analysis, data drift, and model degradation • Proficiency in Python, PySpark and SQL • ETL/ELT pipeline development • Cloud data warehouse/lake experience • Experience with AWS and services (as Sagemaker AI, and Event Bridge) • Data modeling, quality, and lineage • Experience with ML model development and deployment   Nice to have competences • Corporate lending or financial services background • Credit decision process knowledge • LLM/GenAI integration experience • Agentic AI implementations • Model explainability   Technologies you'll work with • Python • PySpark • SQL • ETL/ELT pipeline's • AWS   Client – why choose this particular client from the Jit portfolio? Jit Team has had an over-decade-long relationship with the leading financial group in the Nordic countries, and we are privileged to be our client's premier partner in Poland. At present, over 200 Jit personnel are engaged in the completion of more than 60 projects for this Norwegian major provider of financial services with a global presence and a strong focus on modern technology. Our customer's work atmosphere is epitomized by the Scandinavian culture, which is conducive to people who place emphasis on work-life balance and feedback culture. Furthermore, all projects are executed in international teams, giving constant exposure to the English language.    About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts. We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity. By supporting indigenous initiatives, we ensure the circulation of good energy.