About this opportunity
Repsly, Inc. lists this Senior Data Engineer opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Data Engineer
About Repsly
Repsly is a global SaaS vendor for retail execution. Our product is used by over 800 CPG and Retail Service companies around the world, built to help field teams achieve top‑notch execution in retail sales, merchandising, and promotion plans. Our customers include Kraft‑Heinz, Dyson, Keurig Dr. Pepper, Fenty Beauty, Nutrabolt, Anheuser‑Busch, Core‑Mark, and Crossmark, among others. Our headquarters are in Zagreb (Croatia) & Boston (USA), with partners worldwide.
About the Role
The Senior Data Engineer at Repsly is a high‑impact technical role centered on building the end‑to‑end solutions that power our customer‑facing data products. In this role you will turn raw information into competitive for global brands. As we are just starting our pivotal re‑platforming initiative of our data landscape, you will play a foundational role in building the architecture that will enable Repsly’s growth and product innovation for years to come. This position offers a rare opportunity to be a key contributor to a ground‑up transformation, helping to shape a modern, high‑performance analytics ecosystem. If you’re excited by bridging the gap between high‑level strategy and technical excellence, delivering cutting‑edge analytics platforms, and translating business needs into innovative data solutions, this role places you in a position to make a lasting mark on Repsly’s future.
Key Responsibilities
Architect and Build
Participate in architectural design and implementation of the new Data Analytics platform
Build resilient Data Pipelines between core Repsly services and Data platform
Design, build and maintain the semantic layer to ensure the data remains secure, governed and reliable
Build and maintain standardized reports and dashboards on the Data Analytics platform
Data and Platform Reliability
Data Analytics platform health and stability
Proactively identify and suggest areas for optimization
Required Qualifications
8+ years of experience in data engineering, proven track record of building and managing production‑grade data pipelines and working on large datasets
Strong SQL and understanding of data modeling techniques
Experience in developing complex dashboards in modern BI tools
Strong communication skills, proactive engagement for long‑term goals, and full ownership over deliveries
Familiarity with Agile development methodologies, including Scrum
DevOps mindset, familiarity with CI/CD workflows
Fluent in English
We Are Offering
Continuous education and professional development
Choose your location, work remotely or in the office
Enjoy a pet‑friendly working atmosphere
Company events and team buildingsA culture that is not afraid to try, fail and learn from mistakes
Application process
To apply, please complete your application via LinkedIn.
Join us and be part of a team that is building the future of scalable cloud SaaS solutions!
170 Milk Street, Boston, MA 02109
#J-18808-Ljbffr
Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.