Senior Data Engineer

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are seeking an experienced Senior Data Engineer to join us at Poppulo. This as an opportunity to develop core data services that are used by our product engineers to deliver industry-leading reports and insights to our customers, at scale.

Key Responsibilities 

You will work with an established analytics & reporting team and other stakeholders to design and build solutions using your experience of ingestion pipelines, ETL and data storage/retrieval. You will pair with other Engineering teams to understand their goals and meet their data needs. You will partner with Architecture to design robust, scalable solutions that are consistent across the platform. You will work with our Data Science and AI experts to deliver data to our newest models and help to evolve them into new product features.  

Must haves: 

  • 7+ years of development experience with data pipelines, ETL, data lakes and data warehousing, with a variety of datasets.
  • Experience with AWS data services - S3, Kinesis, Glue, Redshift
  • Experience with Python
  • Experience with JavaScript or Typescript
  • Strong command of SQL.
  • Experience with monitoring performance, data quality and reliability of service
  • Collaborative and supportive attitude, with a track record of working closely with project stakeholders.
  • History of continually learning and adapting to the latest trends and technology.

Nice to haves: 

  • Experience with data analytics and ML.
  • Experience of an Agile development environment, ideally in a SAAS environment.
  • Experience of working with java and GQL.
  • The ability to deploy changes using CI/CD pipelines (e.g. Gitlab)

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

  • Bring Your Best Self
    We show up authentically, are self-aware and always strive to be better.
  • See it. Own it. Solve it.
    We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
  • Together We’re Better
    We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 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.

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