Data Engineer Team Lead

Who are you?
The Data Engineer Team Lead is responsible for overseeing the data development lifecycle. This may include attending meetings and taking minutes, receiving project documents, compiling knowledge bases, keeping project deadlines, growing the team and managing the performance of every individual in it.
Where you fit in
Data Engineer Team Lead function will be responsible for leading the team that collects, stores, processes, and analyzes data sets. They will be responsible for the team, for project activities and delivery, and cooperating with project management, product, and Architecture.
The impact you will have

• Maintain and evolve the existing Data Platform (Spark-based ETL pipelines, Kafka messaging, PostgreSQL DWH) and be a key player in designing and implementing the next-generation Data Lake / event-driven Data Warehouse architecture.
• Align with the company’s software engineering policies including SDLC, CI/CD processes, database structures, monitoring, and logging standards.
• Monitor and improve data quality across all operator data sets, ensuring reliability for regulatory reporting and BI consumption.
• Recommend and implement improvements to data reliability, pipeline observability, and incident response processes for the data infrastructure.
• Develop and maintain reports and dashboards (Power BI) in collaboration with BI Developers and Data Analysts.
• Upskill and grow a team of Data Engineers and BI professionals; manage performance and career development of everyone.
• Audit and maintain current Data platform for improvements
• Coordinate with cross-functional teams (Sportsbook, Casino, Payments, Platform) and business stakeholders on data integration strategies and shared data contracts.

What we’re looking for

• Excellent level of English language, written and verbal
• Experience in open-source data technologies (Spark, Hadoop, HBase, Hive, Kafka, Storm etc.)
• SQL and NoSQL technologies, experience with data modelling and DWH design
• Experience with Version Control Systems (GitLab/Git)
• Strong object-oriented design and development skills (Scala)
• Enjoy improving & optimizing software and using new technologies
• Unix/Linux and shell scripting proficiency
• Experience managing data pipelines in production with monitoring, alerting, and incident response
• Proactive thinking, result-oriented approach, and proven ability to lead and mentor engineers
• Experience designing and consuming RESTful APIs
• Solid understanding of database paradigms — columnar, distributed, and row-based

Desirable

• Knowledge of event-driven / streaming architectures (Kafka Streams, Flink, or equivalent)
• Experience managing and migrating legacy data systems
• AWS knowledge and experience (S3, CloudFront, or related services)
• Familiarity with BI/reporting tools (Power BI, Grafana)
• Experience in the iGaming / betting industry or other regulated environments
• Experience with multi-tenancy architecture

We are Sportingtech
Sportingtech is a multi-award-winning provider of turnkey betting and gaming solutions designed for regulated and emerging markets around the world. With offices in Malta, Bulgaria, London, Brazil and Portugal, our iGaming platform offers everything covering sportsbook and casino via a modular system and intuitive back office for a fully omni-channel solution. Our unparalleled ability to cater for local-market customisation and operator preferences provides players with an optimal betting experience, resulting in proven growth for our rapidly expanding customer base
Sportingtech is an equal opportunity employer. We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, colour, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances. By applying for a role at Sportingtech, you acknowledge and agree to the terms of our Candidates and Employees Privacy Policy. Please read this policy carefully to understand how we handle your personal data.