Job VC
Data Infrastructure Engineer Role in Global FinTech
Technologies
Description
The company is a leading product-based organization and the premier 'end-to-end' provider of data and trading technology across foreign exchange, financial, and futures markets. Its proprietary low-latency gateways empower international corporations and Tier-1 banks to execute global transactions with industry-leading speed and precision.
Company is looking for a
Data Infrastructure Engineer
for a high-impact, foundational role. In this capacity, you will serve as the primary authority on the big-data engine that drives our real-time and historical analytics. Your expertise will be critical in analyzing liquidity, fill ratios, and market impact.
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.
Nice to have:
Experience in the financial industry (FIX protocol, FX trading, etc.).
Background in high-performance hardware/software integration.
Experience with scripting for automation (
Python
,
Bash
).
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.
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.
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.
Benefits:
Standard working hours: 9-18.
15 working days + public holidays weekends.
10 days of sick leave.
Medical insurance compensation.
Equipment.
Salary reviews once a year.
The market moves in milliseconds—your career should move just as fast.
Send your CV.
Company is looking for a
Data Infrastructure Engineer
for a high-impact, foundational role. In this capacity, you will serve as the primary authority on the big-data engine that drives our real-time and historical analytics. Your expertise will be critical in analyzing liquidity, fill ratios, and market impact.
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.
Nice to have:
Experience in the financial industry (FIX protocol, FX trading, etc.).
Background in high-performance hardware/software integration.
Experience with scripting for automation (
Python
,
Bash
).
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.
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.
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.
Benefits:
Standard working hours: 9-18.
15 working days + public holidays weekends.
10 days of sick leave.
Medical insurance compensation.
Equipment.
Salary reviews once a year.
The market moves in milliseconds—your career should move just as fast.
Send your CV.