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Open nowFirst seen 6 hours ago

Big Data & Infrastructure Engineer (Time-Series Specialist)

fluenttech/e5.00e18 open roles

Where
European Union, Remote
Work mode
Remote
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Your applicationOpen nowBig Data & Infrastructure Engineer (Time-Series Specialist)fluenttech/e5.00e · European Union, Remote

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. fluenttech/e5.00e postings stay open a median of 3 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.8%30 days
  6. 59.0%60 days
This job: first seen 6 hours ago

fluenttech/e5.00e median: 3 days open

The posting

Fluent Trade Technologies is a global fintech software firm at the forefront of providing state-of-the-art technology to the world's largest global banks and hedge funds. Specializing in ultra low-latency strategy and market data solutions, Fluent is committed to delivering cutting-edge innovations to the Financial Industry. With a prominent Israeli R&D center in Jerusalem and global development centers, Fluent is a dynamic and collaborative environment.

Learn more about us at www.fluenttech.net.

We are seeking a Big Data & Infrastructure Architect to spearhead the data architecture for our new FX Trading Analytics platform. You will be the primary authority on the big-data engine that powers real-time and historical analysis of liquidity, fill ratios, and market impact. This is a foundational role where you will select, implement, and optimize the "brain" of our analytics suite. The position is a remote position based in Ukraine.

Key Responsibilities:

  • Architecture & Tool Selection: Evaluate and select the optimal Big Data/NoSQL engine to handle high-frequency FX market data and trade execution logs.
  • Infrastructure Ownership: Own the end-to-end installation, configuration, scaling, and long-term maintenance of the database environment.
  • System Design & Configuration: Design the database schema and storage strategy to support massive datasets while ensuring high availability and resilience.
  • Query & Performance Optimization: Build and tune complex time-series queries (calculating metrics like Effective Spread and Last Look Hold Times) to ensure sub-second responses for real-time monitoring tools.
  • Knowledge Leadership: Act as the subject matter expert, training GUI developers and team members on best practices for efficient data retrieval and interaction with the data layer.
  • Technical Collaboration: Work closely with the team leader and GUI developers to ensure the data infrastructure perfectly supports the product requirements.

Requirements

  • Deep knowledge of at least one industry-leading Big Data or Time-Series database (e.g., ClickHouse, InfluxDB or ScyllaDB/Cassandra).
  • Proven experience managing "high-velocity" data environments (streaming ticks, execution logs, and order book events).
  • Strong proficiency in writing and optimizing complex queries for massive datasets (billions of rows).
  • Extensive experience in a Linux-heavy environment with a focus on system-level performance and low-latency tuning.
  • Ability to translate business metrics into efficient data structures without necessarily writing application-level code.
  • Excellent English communication skills.

Advantages:

  • Experience in the financial industry (FIX protocol, FX trading, etc.).
  • Background in high-performance hardware/software integration.
  • Experience with scripting for automation (Python, Bash)
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