Are you looking to make a significant impact in a thriving software company? At Poppulo, we are shaping the future of communications and workplace technology. We recognize the challenges of effectively reaching every employee, managing hybrid office spaces, and enhancing customer experiences. Our mission is to simplify these processes and create harmony for our clients.
We operate at enterprise scale, with our omnichannel communications and workplace experience platform trusted by over 6,000 organizations, reaching more than 35 million employees and delivering content to over 500,000 digital signs.
We believe there’s no “perfect” candidate; everyone is evolving and acquiring new skills. We encourage you to apply even if you don’t meet all the requirements, as we value diverse perspectives to foster growth
The Opportunity:
We are seeking a SDE 2, Data Engineer to join our growing data and analytics team at Poppulo. This is a key role focused on bridging the gap between data engineering and data analysis—transforming raw data into clean, reliable, and well-modeled datasets that empower product teams, analysts, and business stakeholders to make data-driven decisions at scale.
Key Responsibilities
Collaborate with data engineers, analysts, and product teams to design and implement robust, scalable data models and semantic layers.
Build and maintain ELT pipelines that transform raw data into curated datasets for reporting, dashboards, and advanced analytics.
Own the development and maintenance of our analytics layer using tools like dbt, Looker, or similar.
Ensure data quality, consistency, and documentation across all analytics assets.
Partner with stakeholders to understand business needs and translate them into data solutions and self-service capabilities.
Work closely with data scientists and ML engineers to provide clean, well-structured data for experimentation and model development and help to evolve them into new product features.
Monitor and optimize the performance of analytics workflows and queries.
Contribute to the evolution of our data platform and analytics best practices.
Must-Haves
5+ years of experience in analytics engineering, data modeling, or a similar role.
Strong SQL skills and experience working with large-scale datasets.
Hands-on experience with Spark or PySpark for distributed data processing and transformation
Proficiency in modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, BigQuery).
Experience with scripting languages like Python or TypeScript.
Familiarity with cloud data platforms, especially AWS (S3, Kinesis, Redshift, Glue, etc.).
Experience with monitoring performance and reliability of services.
A collaborative mindset with a track record of working closely with cross-functional teams.
Strong understanding of data warehousing concepts and dimensional modeling.
Passion for clean, well-documented, and reusable data solutions.
Nice-to-Haves
Experience with BI tools (e.g., Looker, Tableau, Power BI).
Experience with ML/AI workflows and data preparation for modeling.
Experience in Agile development environments, ideally in SaaS.
Familiarity with CI/CD pipelines and version control (e.g., GitLab).
Knowledge of GraphQL and Java is a plus
Who We Are
We are a values-driven organization that empowers our employees to be their authentic selves at work and make a tangible impact on our products, clients, and culture. Our dynamic environment is filled with motivated, fun, and flexible individuals who thrive on challenges and responsibilities. Join us and contribute to a company that’s on the move.
We embody the Poppulo values every day, which are essential to our mission:
Bring Your Best Self: We show up authentically, are self-aware, and always strive to improve.
See it. Own it. Solve it.: We proactively innovate and solve for our customers and each other, setting high standards for our work and fostering a culture of learning.
Together We’re Better: We value and celebrate our diversity, learn from others, and focus on building trust as a team.
Recognized as a Great Place to Work from 2015 to 2021, we are a fast-growing global technology company with offices in Ireland, the US, and the UK.
Poppulo is an equal opportunity employer.
We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together.
Applicants
are
advised to research the bonafides of the prospective employer independently. We do NOT
endorse any
requests for money payments and strictly advice against sharing personal or bank related
information. We
also recommend you visit Security Advice for more information. If you suspect any fraud
or
malpractice,
email us at abuse@talentmate.com.
You have successfully saved for this job. Please check
saved
jobs
list
Applied
You have successfully applied for this job. Please check
applied
jobs list
Do you want to share the
link?
Please click any of the below options to share the job
details.
Report this job
Success
Successfully updated
Success
Successfully updated
Thank you
Reported Successfully.
Copied
This job link has been copied to clipboard!
Apply Job
Upload your Profile Picture
Accepted Formats: jpg, png
Upto 2MB in size
Your application for SDE 2 Data Engineer
has been successfully submitted!
To increase your chances of getting shortlisted, we recommend completing your profile.
Employers prioritize candidates with full profiles, and a completed profile could set you apart in the
selection process.
Why complete your profile?
Higher Visibility: Complete profiles are more likely to be viewed by employers.
Better Match: Showcase your skills and experience to improve your fit.
Stand Out: Highlight your full potential to make a stronger impression.
Complete your profile now to give your application the best chance!