Senior Data - Software Engineer

We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.

We’re looking for Senior Data - Software Engineer to join the team at a performance-marketing agency that works across more than 25 industry verticals. They focus on using advanced data analytics and tailored creative strategies to drive conversions — the agency handles everything from lead generation and campaign optimisation (through search, social media and newer platforms) so their clients can focus on growth. 

Responsibilities

• Design, build, and maintain high-performance, reliable data systems, including real-time pipelines, tracking infrastructure, and Feature Store foundations to support analytics and ML production

• Develop low-latency, scalable data services capable of handling high-throughput workloads in distributed systems

• Collaborate closely with ML teams to ensure features and data are accurate, consistent, and readily available

• Design and implement data ingestion pipelines, storage schemas, and data quality frameworks to maintain robust and reliable data infrastructure

• Apply software engineering best practices - clean code, testing, and system design - to ensure maintainable, high-quality solutions

Requirements

• Strong software engineering fundamentals (clean code, testing, system design)

• Proven experience building real-time, low-latency data services

• Experience operating in production at scale (high throughput, distributed systems)

• Strong background with modern data stack (e.g., Kafka/Kinesis, Spark/Flink/Beam,Snowflake/BigQuery/Redshift)

• Ability to design schemas, ingestion flows, and data quality frameworks

• Experience collaborating with ML teams on feature availability and consistency

Nice to Have

• Experience supporting ML systems (feature serving, online/offline consistency)

• Production experience with model inference pipelines

• Strong DevOps experience (Docker, Kubernetes, CI/CD)

• Experience with cloud-native architectures (AWS/GCP)

• Experience implementing data observability / lineage frameworks

Benefits

• Work in a highly professional team. Informal and friendly atmosphere in the team

• Paid vacation — 20 business days per year, 100% sick leave payment

• Equipment provision

• Partially compensated educational costs (for courses, certifications, professional events, etc.)

• Legal and Accounting support in Poland

• Ability to work from our comfortable downtown office in Warsaw

• 5 sick days per year

• Medical insurance (after the end of the probationary period)

• English and Polish classes 2 times a week (online)

• Bright and memorable corporate life: corporate parties, gifts to employees on significant dates