Junior Data Engineer
⚲ Kraków
28 350 - 30 450 PLN (B2B)
Wymagania
- Python
- Linux
- AI/ML
Opis stanowiska
O projekcie:
• Prestigious position at one of the world’s largest banks.
• Stable, long-term projects.
• Competitive salary with a B2B contract.
• Hybrid work (6 days per month from the office in Cracow).
• Private healthcare and multisport card.
• Personal growth and development opportunities with the possibility to rotate between projects.
Wymagania:
o
An analytical mind and are excited
about problem-solving complex data engineering problems
o
Strong computer science fundamentals
or have worked with functional programming languages (e.g. Clojure, Haskell, Scala) or enjoy vectorization in Python, R,
Matlab/Octave, Wolfram Mathematica
o
A demonstrable passion for technology
and automation, optimizing and improving solutions
o
Demonstrable interest in
understanding Data and how to combine and present it in various ways, dealing
with large datasets and some basic statistical concepts
o
Knowledge of or interest in learning
about Linux, Server-Client technology, Cloud infrastructure, AI/ML
o
Aptitude for understanding
requirements and solving problems through proactive and collaborative
engagement with teammates and owning a change from inception, to testing and
releasing it to the users
Codzienne zadania:
- Develop and optimise kdb+ processes and queries to meet low-latency and high-throughput requirements for AI Markets use cases
- Build analytic and aggregation layers that can be consumed by downstream systems, APIs, and AI/ML models
- Expose kdb+ data and analytics via APIs/services to front-ends, AI engines, and reporting tools
- Work with AI/data engineering teams to provide well-structured datasets for training and running models in AI Markets
- Implement monitoring, alerting, and capacity management for kdb+ environments
- Ensure resilience, failover, and disaster recovery strategies are in place for critical market-facing services
- Partner with traders, sales, quants, and product owners to translate business requirements into technical solutions in kdb+
- Adhere to internal policies on operational risk, model risk, and data governance, including auditability and access control
• Prestigious position at one of the world’s largest banks.
• Stable, long-term projects.
• Competitive salary with a B2B contract.
• Hybrid work (6 days per month from the office in Cracow).
• Private healthcare and multisport card.
• Personal growth and development opportunities with the possibility to rotate between projects.
Wymagania:
o
An analytical mind and are excited
about problem-solving complex data engineering problems
o
Strong computer science fundamentals
or have worked with functional programming languages (e.g. Clojure, Haskell, Scala) or enjoy vectorization in Python, R,
Matlab/Octave, Wolfram Mathematica
o
A demonstrable passion for technology
and automation, optimizing and improving solutions
o
Demonstrable interest in
understanding Data and how to combine and present it in various ways, dealing
with large datasets and some basic statistical concepts
o
Knowledge of or interest in learning
about Linux, Server-Client technology, Cloud infrastructure, AI/ML
o
Aptitude for understanding
requirements and solving problems through proactive and collaborative
engagement with teammates and owning a change from inception, to testing and
releasing it to the users
Codzienne zadania:
- Develop and optimise kdb+ processes and queries to meet low-latency and high-throughput requirements for AI Markets use cases
- Build analytic and aggregation layers that can be consumed by downstream systems, APIs, and AI/ML models
- Expose kdb+ data and analytics via APIs/services to front-ends, AI engines, and reporting tools
- Work with AI/data engineering teams to provide well-structured datasets for training and running models in AI Markets
- Implement monitoring, alerting, and capacity management for kdb+ environments
- Ensure resilience, failover, and disaster recovery strategies are in place for critical market-facing services
- Partner with traders, sales, quants, and product owners to translate business requirements into technical solutions in kdb+
- Adhere to internal policies on operational risk, model risk, and data governance, including auditability and access control
🔍 Dekoder Ogłoszenia
🟡
Prestigious position at one of the world's largest banks
Marketingowy zwrot — prestiż nie przekłada się automatycznie na dobre warunki pracy
🟡
Stable, long-term projects
W branży IT 'długoterminowość' bywa względna — projekt może się skończyć wcześniej
🔴
possibility to rotate between projects
Może oznaczać brak stabilnego przydziału i częste zmiany kontekstu
🟡
Personal growth and development opportunities
Standardowy zwrot — nie gwarantuje realnych ścieżek rozwoju