Data Engineer

1 mese fa


Valenza, Italia Poppi Technologies A tempo pieno

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 Data Engineer you'll work on software to store, process, visualize, and ultimately make sense of an 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 fulfil 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.
Excitement about solving challenging problems, learning new concepts and skills rapidly, and going in-depth.
Pragmatic approach; aiming for excellence without being obsessive in perfectionism, understanding that speed is often as important as quality.
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 data sets.
Conceptually familiar with AWS cloud resources (S3, EC2, etc.).
Familiarity with AI/ML project lifecycle.
WHAT WE LOOK FOR Individuals who are always looking for new ways to improve or do things differently.
Proactive individuals who are prepared to share open and honest feedback regularly.
Team players who are willing to help others and work collaboratively to reach shared goals.
Individuals who ask questions and listen to the answers to learn and improve.
Responsible individuals who make decisions based on what is right for people, profit, and 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 taken 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 centre of excellence to connect 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, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.
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