Job Overview
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:
Design, develop, and maintain scalable real-time data pipelines and infrastructure.Integrate various data sources and ensure seamless
real-time data flow across the organisation.Develop efficient data models for real-time querying and analytics use cases.Build efficient, fault-tolerant, and highly available data ingestion processes.Monitor and improve
data pipeline performance and scalability for low-latency and high-throughput.Ensure data integrity, quality, and security across the entire pipeline.Implement monitoring, logging, and alerting systems to proactively detect
and mitigate data issues.Partner with product, engineering, and analytics teams to gather requirements and deliver solutions that meet business needs.
About You:
Hands-on experience in data engineering with a proven track record of building and managing real-time data pipelines across a track record of multiple initiatives.Expertise in developing data backbones using
distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.).Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage.Ability to optimise and refactor existing
data pipelines for greater performance and reliability.Programming skills in Python, Java, Scala, or a similar language.Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling.Strong understanding
of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes).You thrive when working as part of a teamComfortable in a fast-paced environmentHave excellent written and verbal English skillsLast but not least,
you’ll have no ego!
What You’ll Get:
Competitive Basic SalaryQuarterly BonusesHybrid workingPrivate Health CareMarket Leading Training ProgrammeRecognition & Reward SchemeAnnual Company Conference (previous
destinations Bologna, Dubrovnik, Belgrade and Thessaloniki)Regular Happy Hour / Team LunchesFree Coffee, Drinks & Snacks
What’s the next step?
Our hiring process ensures we’re recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.
If you like the sound of what we’re all about at QiH and want to join a team where you can make an impact, please apply or contact us at careers@qih-group.com.
Job Detail
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