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WHAT TO EXPECT DAY TO DAY

At Poppi Technologies, we rely on a large amount of data to empower the quantitative analysis and AI applications at the core of our systems. As a Data Engineer, you’ll work on software to store, process, visualize, and ultimately make sense of enormous amounts of data.
We’re looking for a passionate, bright, and driven data engineer who’s eager to bring our data-related technologies to the next level.

RESPONSIBILITIES

• Work closely with talented, knowledgeable colleagues to identify the data-related needs of the company and participate in defining and executing the plan to fulfill them.
• Use the best, most modern tools and data technologies to build insightful, scalable, and robust data solutions. When they fall short of our needs, collaborate to build our own.
• Build innovative solutions to craft and improve datasets and pipelines to service a wide variety of use cases.
• Stay informed on new, relevant technologies and test the promising ones to ensure we don’t miss out on game-changing opportunities to boost our productivity and enjoyment of our work.

WHAT YOU WILL NEED TO SUCCEED

• Passion for writing software and software engineering best practices.
• Passion for creating intuitive data models.
• Excellent programming skills in at least one of Java, Python, or Scala.
• Excited by solving the most challenging problems, learning new concepts and skills rapidly, and going in-depth.
• Be pragmatic; aim for excellence but understand that speed is often as important as quality in a competitive world.
• Previous experience as a Data Engineer or Software Engineer.

QUALIFICATIONS

Master’s degree in Computer Science, Computer Engineering, or relevant field. PhD is a plus.

DESIRABLE

• Experience with Data Analytics & ML Platforms (e.g., Databricks, SageMaker).
• Experience with messaging and streaming platforms (e.g., Apache Pulsar, Kafka).
• Experience with engineering data pipelines using big data technologies (Hive, Presto, Airflow, Spark, etc.) with large-scale datasets.
• Conceptually familiar with AWS cloud resources (S3, EC2, etc.).
• Familiarity with AI/ML project lifecycles.

WHAT WE LOOK FOR

• Individuals who are always looking for new ways to improve or do things differently.
• Proactive individuals prepared to share open and honest feedback regularly.
• Collaborative team players who are willing to help others.
• Individuals who ask questions and listen to answers to learn and improve.
• Individuals who take responsibility for their actions and make decisions based on what is right for people, profit, and the planet.

If you are passionate about the convergence of Finance, Technology, and Purpose Driven Investments to create positive societal and environmental impact and you’re looking for a challenging and rewarding career, take the first step toward joining our team.

COMPANY DESCRIPTION

Poppi Technologies is a purpose-driven investing hedge fund operating solely to effect positive change across various sectors and industries. We are proudly at the forefront of the AI revolution in finance with the sole purpose of generating positive impact by improving the way financial decisions are made and investments managed.

We create and apply new technologies and techniques to push the boundaries of what’s possible. We are continuing to build our team of financial experts, AI innovators, and professionals from a range of backgrounds who are united by our passion for creating innovative solutions that make a difference.

We believe that success is only meaningful when it has a direct impact on the territory. For this reason, we strategically decided to invest in Southern Italy and place the Metropolitan City of Bari as our center of excellence to align the future growth of our company with the growth of this area.

BENEFITS

• Attractive Salary
• On-site parking
• Flexible / Hybrid Working
• Wellness programmes
• Food Vouchers

EQUAL EMPLOYMENT OPPORTUNITY STATEMENT

Individuals seeking employment at Poppi Technologies are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.