Lead Data Engineer

Qih Group; London; Hybrid; GBP 50,000 - 90,000

Job description

Join to apply for the Lead Data Engineer role at QiH Group.

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 team.
• Comfortable in a fast-paced environment.
• Have excellent written and verbal English skills.
• Last but not least, you’ll have no ego!

What You’ll Get:

• Competitive Basic Salary
• Quarterly Bonuses
• Hybrid working
• Private Health Care
• Market Leading Training Programme
• Recognition & Reward Scheme
• Annual Company Conference (previous destinations Bologna, Dubrovnik, Belgrade and Thessaloniki)
• Regular Happy Hour / Team Lunches
• Free 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 [e-mail].

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Advertising Services