Data Engineer (Clickhouse)

Luxoft; Wrocław; On-site; PLN 120,000 - 180,000; Full time

Job summary

A leading technology services provider is looking for a Data Engineer to join their Equities Technology team in Wrocław. The role involves developing and maintaining data pipelines, optimizing database performance, and ensuring data quality. Candidates should have strong experience in database design, SQL, and NoSQL systems. Familiarity with Java is a plus. This position offers an opportunity to work on complex data engineering projects and improve the trading and risk functions.

Qualifications

• Strong hands-on experience in database design.
• Proficiency in NoSQL databases, especially MongoDB.
• Solid experience with SQL databases, particularly PostgreSQL and Clickhouse.

Responsibilities

• Developing and maintaining data pipelines using Java, Python and SQL.
• Collaborate on migration from MongoDB to Clickhouse and PostGres.
• Investigate DB performance issues and propose remediation.

Skills

Database design

MongoDB

SQL

Data analysis

Java programming

Performance optimization

Tools

PostgreSQL

Clickhouse

Job description

Overview

Financial Markets (FM) combines deep local expertise with global reach to deliver innovative risk management, financing, and investment solutions. With a full suite of offerings across fixed income, currencies, commodities, equities, and capital markets, FM partners with clients worldwide to drive sustainable value. This role sits within the global Equities Technology team, focusing on derivatives trading and risk management platforms. The successful candidate will help evolve the current end-of-day (EOD)-oriented systems toward more intraday and real-time processing, building solutions that improve transparency, timeliness, and resilience for trading and risk functions.

Responsibilities

• Developing and maintaining data pipelines using Java, Python and SQL.
• Collaborate and actively contribute with developers on migration from MongoDB to Clickhouse and PostGres.
• Investigate DB performance issues and propose remediation.
• Building new integrations including external providers APIs as well as internal systems.
• Developing and managing data storage solutions including data warehouses and relational databases.
• Performing initial data analysis and data quality checks. Ensuring data quality and integrity.
• Monitoring data infrastructure for performance, security, and reliability.
• Collaborating with Developers, and BA ensuring business aligned, compliant and secure integration with existing systems.

Must have

• Strong hands-on experience in database design and solutioning.
• Proficiency in NoSQL databases, especially MongoDB.
• Solid experience with SQL databases, particularly PostgreSQL and Clickhouse
• Practical experience in database migration between NoSQL and SQL systems.
• Familiarity with Java programming.
• Ability to work on complex data engineering projects, ensuring effective data management and performance optimization.
• Strong analytical and problem-solving skills with a focus on building scalable data solutions.

Nice to have

• Banking, Finance