Senior Data Engineer

We are Kaizen Gaming Kaizen Gaming is the leading GameTech company in Greece and one of the fastest growing in Europe, operating under the Stoiximan brand in Greece and Cyprus and under Betano in Germany, Romania, Bulgaria, Czech Republic, Portugal, Brazil, Chile, Peru, Ecuador and Canada. Our objective is to utilize cutting-edge technology to provide the best possible experience for those who rely on us for their entertainment. #ouroneteam At Kaizen, our decisions are driven by data. Starting with our substantial Lake House architecture, we foresee a revolutionary shift towards a Data Mesh architecture. This strategy emphasizes treating data as a product with defined contracts, distributed ownership, and domain-driven design. As we strive to further enhance our data platform, we're specifically concentrating on data democratization, governance, and observability. Our ultimate goal? To make every piece of data perfectly accessible, monitored, and governed. Our Data Platform team stands ready to lead this transformation, advocating the design and expansion of future Data Products. By joining our team, you'll become part of an initiative that places Kaizen at the forefront of data-driven innovation. #ourmission Our Lake House infrastructure has been a fundamental component, smoothly supporting a diverse group from BI, Data Science and ML to our innovative product squads. As we navigate towards the next frontier characterized by Data Products and insights from a Data Mesh paradigm, we expect transformative results. Our mission is to ensure the steadfastness of our pipelines, the agility of our infrastructure and the meticulousness of our designs, while maintaining the highest standards of data governance. As we set out on this ambitious journey, we're looking for data engineers experienced in data ops, with a strong understanding of software engineering best practices and a product-oriented mindset. An important aspect of our team's role is to architect and build utility tools that simplify complexity. In doing so, we provide other teams with plug-and-play solutions, freeing them from the details and reducing cognitive load. Kaizen's proven expertise in distributed computing further strengthens our commitment. This wealth of knowledge is waiting to be utilized, demonstrating our unwavering dedication to promoting a data-centric culture throughout the organization. #ourTechStack Spark, Scala, Python, Azure Databricks, Delta, Apache Airflow, Azure DevOps, Terraform, Grafana and more. Responsibilities: - Contribute to the development of a scalable and secure Data Platform aligned with the Data Mesh paradigm. - Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards. - Deploy and manage our products using CI/CD best practices following the ‘you build it, you run it’ culture. - Stay current on emerging technologies, methodologies and industry best practices to ensure continuous improvement of the data platform. - Promote a culture of documentation, where the technical documentation lives along with our products and ensures they are easy to use and maintain. Requirements: - Spark Proficiency: Demonstrated knowledge in Apache Spark, with the ability to write and optimize effective code for data processing tasks. - Software Engineering: Solid software engineering background, skilled in designing, writing and deploying production-grade code that aligns with our data-first vision. - Data Pipeline Expertise: Hands-on experience with data pipeline orchestration frameworks, ensuring smooth data flow and integration across different sources and platforms. - DevOps and DataOps Familiarity: Practical experience in DevOps, with a preference for candidates familiar with DataOps practices, ensuring continuous integration, delivery, and efficient data operations. - End-to-End Data Solutions: Proficiency in designing, planning, and delivering comprehensive data pipelines, from sourcing and ingestion to processing and serving. - Technology Evaluation: A curious mindset, with the ability to understand, evaluate and potentially integrate new technologies that can drive Kaizen's data-driven approach forward. - Data Governance and Security: An understanding of the importance of data governance, with a focus on ensuring that data assets are protected, accessible, and compliant with regulatory standards. Recruitment Privacy Notice Regarding the data you share with us, you can find and read our recruitment privacy notice [here](https://kaizengaming.com/wp-content/uploads/2023/05/Recruitment-Privacy-Notice_21032023-3.pdf).