Job Description
Are you a seasoned data engineer with a passion for building scalable, future-proof systems that drive real-time insights and inform product innovation? Do you thrive in a fast-paced, dynamic SaaS environment where data integrity and precision directly influence user experiences and product outcomes? If so, we'd love to hear from you. **About arenaflex** arenaflex is a rapidly growing company that helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, arenaflex enables Pros to save time, grow profitably, and provide best-in-class service. Our brand portfolio includes Business Coaching by arenaflex, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 45,000 businesses and have over 1,800 ambitious, mission-driven, genuinely fun-loving teammates across the globe (half of the engineering team is in Poland). If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we'd love to hear from you. **Compensation and Benefits** We offer a competitive compensation package, including: * $10,000 - $10,700 USD per month (B2B) * Paid time off * Flexible work hours * Equity shares in a rapidly growing company backed by top-tier VCs * A culture built on innovation that values big ideas * We work in Central European Time * Newest MacBook + Setup Fee ($500) **Joining arenaflex means:** * Building a product that really improves users' lives (70k users, 4.6 rates at App Store) - let's see what clients say about the product; * Being a part of a global team that builds a diverse culture in our company; * Working with more than 300 engineers highly qualified and engaged in improving the life of our Pros; * Being in direct contact with the community of users, who are eager to share their feedback; * Rapidly growing teams that create a defined career path. **About the Role** As a Senior Staff Data Engineer, you will own and manage our customer data infrastructure, ensuring data accuracy, governance, and usability across the organization. You will act as a bridge between engineering, product, and marketing teams, bringing a product-focused lens to every decision you make around data collection, structure, and analysis. You will thrive when creating scalable, future-proof systems that allow for real-time insights and help drive product innovation, customer understanding, and strategic growth. **Key Responsibilities:** * Own and manage the Segment and Amplitude platforms, overseeing data sources, destinations, tracking plans, and integrations with downstream systems (i.e., Salesforce, Snowflake, martech platforms) * Collaborate with product, engineering, and marketing teams to design and implement event tracking schemas that capture meaningful, actionable insights * Ensure data governance, standardization, and quality across all customer and product analytics pipelines * Define and enforce best practices around event tracking, naming conventions, taxonomy, and data quality * Monitor system performance, proactively identify and troubleshoot data pipeline issues, and build monitoring frameworks to maintain system health * Improve and expand identity resolution strategies to strengthen anonymous-to-known user workflows * Partner with product managers to continually optimize tracking strategies that inform product usage patterns and customer behaviors * Stay current on emerging capabilities within Segment, Amplitude, and related customer data tools, driving adoption of new features when they enhance self-service analytics * Support compliance with data privacy regulations and internal data governance standards * Align with engineering leaders to ensure scalable data infrastructure that empowers real-time decision-making across the organization * Demonstrated experience in building democratized eventing processes and systems, enabling self-serve analytics across the business **What You Need to Get This Job:** * 6+ years of analytics, data engineering or similar technical experience * 2+ years experience with Segment and Amplitude or comparable CDPs (e.g., mParticle, Rudderstack, Amperity) * Deep understanding of event-based tracking models, customer data pipelines, data governance, and identity resolution strategies * Familiarity with Frontend technologies (Javascript, React), and Mobile platforms (iOS, Android) as event emission systems * Experience designing and managing data and event taxonomies at scale * Proficiency working with APIs, service contracts, and data integration frameworks * Advanced SQL skills and experience querying large-scale data warehouses (i.e., Snowflake, BigQuery, Redshift) * Knowledge of ETL and reverse ETL workflows, and related data engineering workflows * Familiarity with GDPR, CCPA, and other data privacy and compliance frameworks * Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field or equivalent work experience **Key Success Factors:** * Strong product mindset, with an understanding of how data shapes user experiences and drives product decisions * Obsession with data quality, integrity, and governance * Ability to operate autonomously and drive clarity from ambiguity * Excellent collaboration and communication skills with technical and non-technical stakeholders * Proactive mindset in identifying opportunities for infrastructure optimization and scalability * Deep curiosity about customer behavior and product usage patterns * Demonstrated ability to work cross-functionally across a large organization * Commitment to continuous learning, staying current with evolving tools, platforms, and best practices * Demonstrate a strong passion for using AI technologies to enhance productivity, quality, and innovation * Curiosity and drive to stay ahead of emerging AI/ML technologies and their practical applications **Sounds Interesting?** We're waiting for your resume! This role is open to candidates inside Poland. The specific salary for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills and experience. Originally posted on arenaflex. Apply for this job