Role overview

Qualifications

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

Responsibilities

Evaluate and select the optimal Big Data/NoSQL engine to handle high-frequency FX market data and trade execution logs
Own the end-to-end installation, configuration, scaling, and long-term maintenance of the database environment
Design the database schema and storage strategy to support massive datasets while ensuring high availability and resilience
Build and tune complex time-series queries to ensure sub-second responses for real-time monitoring tools

Key facts

Remote from: Ukraine
Full time
Data Engineer
English

Hard skills

Big Data Time Series Query Optimization Systems Design Linux Database Management Data Architecture Data Retrieval Python (Programming Language) Bash (Scripting Language) Investment Banking Very-Large-Scale Integration

Other skills

Communication

About the company

Fluent Trade Technologies

Capital Markets & Securities

Established in 2011, Fluent Trade Technologies is the world's fastest financial technology provider, offering a comprehensive, turn-key solution for automated trading systems and brokers. Certified with over 100 FX trading venues representing over 95% of FX liquidity, Fluent Trade Technologies delivers an end-to-end solution through a unified API for both Maker and Taker, enabling its customers to focus on their core businesses. Fluent’s customers transact billions of dollars daily through its ecosystem, leveraging the company’s expertise in data processing, trading, large database warehousing, data distribution, monitoring and pre trade risk management solution for FX Prime Brokers and their hedge fund customers. We hiring in multiple location - explore our open positions: https://www.comeet.com/jobs/fluenttech/E5.00E

Company details

Company typeSME

IndustryCapital Markets & Securities

Company size51 - 200

Links

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Job description

Description

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)