Mid-Level Python Engineer – Trading Systems & Data Pipelines

8 131 - 13 551 USDGross per month - Permanent
Python

Mid-Level Python Engineer – Trading Systems & Data Pipelines

Python
Centrum, Wroclaw

ITDS

Full-time
Permanent
Mid
Office
8 131 - 13 551 USDGross per month - Permanent

Job description

Empower the future of trading technology — design innovative data pipelines and analytics that revolutionize market microstructure!
Wroclaw-based opportunity with on-site work model.

As a Mid-Level Python Engineer – Trading Systems & Data Pipelines, you will be working for our client, a leading financial technology firm specializing in trading infrastructure. You will help build and enhance systems that analyze trading behavior, optimize execution strategies, and support high-performance live trading environments. This is a chance to directly impact the efficiency and transparency of global markets through cutting-edge engineering.

Your main responsibilities:

  • Develop Python libraries, data pipelines, and tooling to process exchange protocols, order flow, and large-scale trading data.
  • Design analytical frameworks, metrics, and monitoring tools to evaluate execution quality and system performance.
  • Operate close to the trading stack, working with high-resolution datasets for research and production use.
  • Collaborate with stakeholders to translate analytical insights into measurable improvements in trading execution.
  • Support live trading systems through data validation, pipeline reliability, and real-time monitoring.
  • Analyze trading behavior across venues to identify inefficiencies and improve latency and fill performance.
  • Work with research and infrastructure teams to support ongoing development of market behavior understanding.

You're ideal for this role if you have:

  • 7+ years of professional experience in Python development, building libraries, data platforms, or analytical tooling.
  • Strong experience working with large-scale and time series datasets using tools such as NumPy and Pandas.
  • Solid SQL knowledge and experience working with analytical databases.
  • Excellent problem-solving skills and the ability to investigate complex data and system behaviors.
  • Ability to translate analytical or trading-related problems into robust engineering solutions.
  • Experience working in Linux environments, following best practices like testing, version control, and CI.
  • Strong communication skills for collaborating across technical and non-technical teams.
  • Familiarity with financial markets, electronic trading, or execution analysis.

It is a strong plus if you have:

  • Exposure to network protocols, packet analysis, or performance optimization techniques.
  • Experience with lower-level programming languages such as C, C++, or Rust.

Language Required for the role:

  • Fluent English

Eligibility for the role:

  • Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

Tech stack

    English

    B2

    Data Pipelines

    advanced

    Python

    advanced

    financial markets

    regular

    NumPy

    regular

    Linux

    regular

    Pandas

    regular

    SQL

    regular

    time series analysis

    regular

    C++

    nice to have

    Performance optimization

    nice to have

Office location

Mid-Level Python Engineer – Trading Systems & Data Pipelines

8 131 - 13 551 USDGross per month - Permanent
Summary of the offer

Mid-Level Python Engineer – Trading Systems & Data Pipelines

Centrum, Wroclaw
ITDS
8 131 - 13 551 USDGross per month - Permanent
By applying, I consent to the processing of my personal data for the purpose of conducting the recruitment process. Informujemy, że administratorem danych jest ITDS z siedzibą w Warszawie, ul. Złota 59 (dalej jako "administrator"). Masz prawo do żąda... MoreThis site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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