Senior Data Engineer, AI applications
Lisbon, Portugal
Kaizen Gaming
Welcome to Kaizen Gaming, the leading GameTech company in Greece and one of the fastest-growing in Europe. Check out our History, Brands, and Open Positions.We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 17 markets with 2 brands (Betano & Stoiximan).
We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.500 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role:
At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered co-pilots to CRM optimizations.
We build our teams to be self-driven, autonomous and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Product Analysts, Product Owners and Agile Delivery Leads.
As a Senior Data Engineer, you will focus on delivering robust and scalable data pipelines which transform raw data to features that can be used in Machine Learning models.
As a Senior Data Engineer your will:
- Design, develop and maintain scalable data processing pipelines in a distributed, and data-intensive production environment;
- Design, develop and maintain microservices in Python that serve these features on production;
- Design, develop and maintain internal tools that enable CI/CD pipelines, experiment tracking and data versioning;
- Guarantee data integrity by employing data quality processes.
What you’ll bring:
Must have:
- Significant experience in software development using Python on a large scale, high-performance production environment;
- Significant hands-on experience with Spark and PySpark;
- Significant experience with data modeling and handling structured and unstructured data;
- Significant experience with Apache Kafka;
- Experience with cloud environments;
- Expert skills in Distributed Software System design;
- Excellent problem solving and communication skills.
Nice to have:
- Experience with the Databricks Platform;
- Experience with streaming data and real-time data processing frameworks;
- Experience with NoSQL DBs, such as Redis and Neo4j;
- Good understanding of ML algorithms and the ML-project lifecycle.
Kaizen Gaming Perks
🕑 We offer both work from the office (hybrid model) & remote working options.
🏃 A buddy will support you with your onboarding.
💸Competitive salary package and bonus scheme.
👩⚕️ Health and life insurance for you and your family.
📚 Unlimited access to Udemy & continuous training for all your learning and development needs.
💰 Monthly allowance for lunch & commuting expenses.
💻Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD.
⭐Clear career paths & a developmental 360° feedback framework.
#LI-PROMOTE
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile CI/CD Databricks Data pipelines Data quality Kafka Machine Learning Microservices ML models Neo4j NoSQL Pipelines Privacy PySpark Python Research Spark Streaming Unstructured data
Perks/benefits: Career development Competitive pay Equity / stock options
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