Data Engineer

About Liferay

Liferay is a uniquely profitable B2B enterprise software company with 1,200+ fiery-eyed employees all across Europe, the Americas, the Middle East, Asia, and Africa. As a renowned provider of enterprise open source technologies, we have been recognized by Gartner for empowering businesses around the world to solve complex digital challenges. Liferay Experience Cloud is an all-in-one solution that unites our Liferay DXP and cloud platform capabilities with built-in analytics and B2B commerce functionality, reducing the time to market and allowing for accelerated innovation - serving notable customers across the globe such as Airbus, US Bank, Honda, and Desjardins.

But we don’t just make awesome software, we are also fueled by a greater-than-profit vision. By building a vibrant business, making technology useful, and investing in communities, we make it possible for people to reach their full potential to serve others. We give our employees five days off to volunteer at charities they’re excited about, and Liferay donates 10% of our profits to charities around the world. Oh, we’re also self-funded which gives us the freedom to work on whatever we think brings the most value to customers and communities in the long run!

About You and this Role

You’re passionate about turning raw data into insights. As a Data Engineer at Liferay, you'll play a key role in shaping our data landscape, empowering teams to make data-driven decisions, and driving innovation across the organization. You'll collaborate with analysts, engineers, and stakeholders to build robust data pipelines, maintain critical systems, and explore new methods for advanced analytics.

Join us to create scalable, cutting-edge solutions that unlock the full potential of our data and make a meaningful impact on how we serve our customers worldwide.

Key Objectives

• Empower Insights: Maintain and optimize data that fuels strategic decisions, enabling teams to serve our customers better.
• Innovate with New Data Sets: Identify and integrate new data sources to enrich organizational analytics.
• Own Critical Systems: Oversee end-to-end systems, including ETL/ELT pipelines, data warehouse, data APIs, and BI tools.
• Support Advanced Analytics: Develop infrastructure and tools to enable Data Analysts and ML Engineers to unlock deeper insights.
• Champion Data-Driven Culture: Advocate for data-centric decision-making across the organization through training and thought leadership.
• Collaborate & Solve: Work closely with Data Analysts, ML Engineers and others to analyze requirements and deliver impactful solutions.

Required Qualifications

• Experience with a BS/BA in Computer Science, Data Science, Information Systems or related field (or relevant experience).
• Technical Skills:
  • Proficiency in Python, Java, or similar programming languages.
  • Expertise in SQL and experience with databases like MySQL or Google BigQuery.
  • Hands-on experience with ETL/ELT pipelines and Data Warehousing.
  • Proficiency with version control systems like Git.
• Communication: Strong interpersonal and communication skills to collaborate with technical and non-technical teams effectively.

Preferred Qualifications

• Familiarity with Google Cloud Platform, BigQuery, and Matillion.
• Experience working in Scrum or other agile frameworks.
• Familiarity with Tableau or similar BI tools for visualizing data.

What We Offer

• Salary package w/ competitive benefits according to qualifications and experience
• Opportunities to take responsibility, grow professionally, and Stay Nerdy
• A positive and collaborative work culture
• Check out what employees say about us on Glassdoor
• Working at a leading open-source company

Equal Opportunities Employer - Statement
Liferay is committed to the equal treatment of all candidates, customers and employees and to fostering a culture of dignity at work. Our operating procedure provides for equal opportunities in recruitment and employment with the aim to eliminate discrimination against any job applicant or employee on the basis of race, age, sexual orientation, gender, religion or beliefs, marital or civil partnerships status, family or dependency status, disability, pregnancy and maternity or membership of a traveling community.

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