Senior Big Data & Time-Series Infrastructure Engineer

**Senior Big Data & Time-Series Infrastructure Engineer**

Engineering | Remote (Europe) | Full-time

**About the company**

Our client is a global fintech software vendor supplying advanced trading technology to leading banks and hedge funds. The company specializes in high-performance, low-latency trading strategy and market data solutions for the financial industry. Engineering is spread across several international development centers, and the working culture is collaborative and fast-moving.

**The role**

We are looking for a Big Data & Infrastructure Architect to lead the data architecture of a new trading analytics platform. You will be the main authority on the data engine behind real-time and historical analysis of liquidity, order fill quality and market impact.

This is a foundational position

you will choose, deploy and tune the core of the analytics product.

**Key responsibilities**

**Architecture and technology selection

** assess and choose the most suitable Big Data / NoSQL engine for high-frequency market data and trade execution logs.

**Infrastructure ownership

** take responsibility for installation, configuration, scaling and long-term operation of the database environment.

**Design

** define the schema and storage strategy for very large datasets, ensuring high availability and resilience.

**Query and performance tuning

** write and optimize complex time-series queries (execution quality and liquidity metrics) so that real-time monitoring tools respond in under a second.

**Knowledge sharing

** act as the subject matter expert and coach front-end developers and teammates on efficient ways to query and use the data layer.

**Collaboration

** work closely with the team lead and UI developers so the data infrastructure fully supports product needs.

**Requirements**

• Deep expertise in at least one leading Big Data or time-series database (for example ClickHouse, InfluxDB, or ScyllaDB/Cassandra)
• Proven experience operating high-velocity data environments (streaming ticks, execution logs, order book events)
• Strong skills in writing and tuning complex queries over very large datasets (billions of rows)
• Extensive experience in Linux-centric environments, with a focus on system-level performance and low-latency tuning
• Ability to turn business metrics into efficient data structures, without necessarily writing application-level code
• Excellent English communication skills

**Nice to have**

• Experience in financial markets or trading technology (e.g. FIX protocol)
• Background in high-performance hardware/software integration
• Automation scripting (Python, Bash)