Senior Big Data & Time-Series Infrastructure Engineer
At a glance
Senior Platform & Infrastructure role at EER Poland. Remote, Poland.
Pay not stated Platform & Infrastructure salary
devopsroles summary, based on the employer's posting.
What you'll do
- Choose and configure the data engine for high-frequency market feeds and trade execution records
- Run and scale the database environment, including its ongoing operation
- Shape schemas and storage for very large datasets while maintaining availability and resilience
- Tune time-series queries for liquidity and execution-quality measures so monitoring responds in under a second
- Guide developers on using the data layer and align its design with team leads and UI needs
What you bring
- Deep knowledge of at least one Big Data or time-series database, such as ClickHouse, InfluxDB or Cassandra
- Hands-on experience operating fast-moving data streams, including ticks, execution logs or order-book events
- Strong ability to build and optimize complex queries across very large datasets
- Extensive Linux experience focused on system performance and low-latency tuning
- Excellent English communication and the ability to translate business measures into efficient data structures
Who this fits
This senior role suits an infrastructure specialist who can own database choices and operations while working closely with developers. The position is remote in Europe; the supplied role details place it in Poland.
From the employer
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)
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