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Senior Big Data & Time-Series Infrastructure Engineer

EER Poland

Skills

Required

  • Big Data / time-series database
  • ClickHouse / InfluxDB / ScyllaDB / Cassandra
  • streaming ticks
  • order book events
  • Linux-centric environments
  • system-level performance
  • low-latency tuning
  • writing application-level code
  • financial markets
  • Python
  • Bash

Preferred

  • NoSQL
  • database environment
  • time-series queries
  • real-time monitoring tools
  • a second

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.

About EER Poland

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

Responsibilities

  • assess and choose the most suitable Big Data / NoSQL engine for high-frequency market data and trade execution logs.
  • take responsibility for installation, configuration, scaling and long-term operation of the database environment.
  • define the schema and storage strategy for very large datasets, ensuring high availability and resilience.
  • write and optimize complex time-series queries (execution quality and liquidity metrics) so that real-time monitoring tools respond in under a second.
  • act as the subject matter expert and coach front-end developers and teammates on efficient ways to query and use the data layer.
  • 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)