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Job Overview
Location
Poland
Job Type
Full-time
Category
Software Engineering
Date Posted
October 15, 2025
Full Job Description
đź“‹ Description
- • Architect, build, and operate high-throughput data pipelines that ingest, transform, and serve analytics-ready datasets to every department at Contentsquare—from Product and Marketing to Finance and Customer Success—directly influencing decisions that shape the future of a global SaaS leader.
- • Own the end-to-end lifecycle of data products: design scalable schemas in Snowflake, author modular dbt models, orchestrate workflows in Dagster, and deploy containerized services on AWS ECS Fargate using Terraform, ensuring 99.9 % uptime for business-critical SLAs.
- • Continuously evolve our Data Analytics Platform by evaluating new big-data technologies, running proof-of-concepts, and championing adoption when they demonstrably improve performance, cost-efficiency, or developer experience.
- • Partner with analysts, data scientists, and business stakeholders to translate ambiguous questions into concrete data requirements, then deliver self-service datasets, dashboards, and APIs that empower non-technical users to answer the next question without engineering support.
- • Establish and enforce engineering best practices: peer reviews, automated testing with pytest and dbt tests, CI/CD via GitHub Actions, comprehensive documentation in Confluence, and infrastructure-as-code reviews that keep technical debt near zero.
- • Mentor junior and mid-level engineers through pair programming, design critiques, and career-development plans, raising the collective bar of the 15-person, fully remote Enterprise Analytics team that spans five time zones.
- • Monitor pipeline health, cost, and data quality using observability tools; set up alerting and anomaly detection that surface issues before stakeholders notice, and lead blameless post-mortems that turn incidents into shared learning.
- • Contribute to cross-functional initiatives such as GDPR compliance, SOC 2 audits, and the rollout of AI-assisted code generation—leveraging your curiosity to automate repetitive tasks and free the team for higher-impact work.
- • Act as a thought leader inside and outside Contentsquare: publish internal tech talks, represent the team at meetups and conferences, and maintain open-source contributions that strengthen our employer brand in the Polish and global data communities.
- • Balance strategic vision with pragmatic delivery, shipping incremental value every week while keeping a 6–12-month technical roadmap aligned with company OKRs and a rapidly scaling customer base.
Skills & Technologies
About ContentSquare SAS
ContentSquare SAS provides a digital experience analytics platform that captures user interactions on websites and mobile apps. Using AI-driven analysis, it visualizes customer journeys, identifies friction points, and quantifies revenue impact of UX issues. The software offers heatmaps, session replays, zone-based engagement metrics, and predictive alerts to help e-commerce, retail, financial services, and travel brands optimize conversion rates and personalize experiences across digital touchpoints.
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