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An innovative and fast-growing digital marketing group is seeking a Lead Data Engineer to spearhead their data transformation journey. In this pivotal role, you will design and build a robust data infrastructure that supports real-time analytics and data processing. Collaborating closely with cross-functional teams, you'll ensure seamless data flow and integrity across the organization. This position offers a unique opportunity to work with cutting-edge technologies in a dynamic environment, where your contributions will have a significant impact on the company's success. If you're ready to take on exciting challenges and lead data initiatives, this role is for you!
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Our Company:
QiH is a global digital marketing group specialising in the iGaming sector, operating across various international markets. Our companies include Digital Adventures, which provides traffic to leading iGaming operators; Wizard Interactive, an affiliate partner for top US online casinos; and Tau Marketing Services, which offers three consumer-focused casino brands through the Aspire network.
QiH is a fast-growing, innovative, and progressive scale-up business headquartered in London with a collective of brilliant brains in Skopje. We are at the start of an exciting journey as we build out our internal engineering capability, spearheading our tech transformation, building best in class products and tackling exciting and complex challenges along the way!
Data is at the core of what we do at QiH, but our people are at the heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual.
The Role:
Our Technology team is growing! We’re looking for a highly skilled and experienced Lead Data Engineer to design and build a robust, scalable, and high-performance real-time data backbone.
In this role you will take an individual contributor position with leadership responsibilities focused on architecting, developing, and delivering real-time data pipelines and infrastructure. The ideal candidate will collaborate closely with engineering, product, and analytics teams to ensure seamless data flow across the organisation while leveraging cutting-edge technologies for real-time data processing. You will take ownership of the full data lifecycle from ingestion to storage and real-time analytics.
Key Responsibilities: