Requirements: English
Company: NextChallenge
Region: Krakw , Lesser Poland Voivodeship
We are looking for an experienced and driven Lead Data Engineer with a deep understanding of the iGaming industry.
WhizdomAI is revolutionising the iGaming industry with data-driven recommendations and personalisation services. We are seeking an exceptional Lead Data Engineer to spearhead the strategic initiative to establish a standardised, scalable, and efficient platform that reduces integration complexity, optimises infrastructure, streamlines client onboarding, and enhances the delivery of actionable insights for iGaming operators.
As the Lead Data Engineer, you will be responsible for architecting, implementing, and leading the development of the companys next-generation data platform. Establish comprehensive data quality frameworks with automated validation rules, monitoring, and alerting;
Lead a team of data engineers, providing technical guidance, mentorship, and code reviews;
Collaborate with cross-functional teams including data scientists, analytics engineers, and client implementation specialists;
Establish engineering best practices, coding standards, and documentation requirements;
Drive implementation of CI/CD pipelines for data infrastructure and transformation code;
Manage technical dependencies across workstreams and coordinate development priorities;
Foster a culture of data quality and data-driven decision making across the organisation.
Establish monitoring and observability for all data pipeline components;
Implement comprehensive data quality validation at all stages of the data lifecycle;
Design and enforce data quality SLAs with proper measurement and reporting;
Create data quality scorecards and dashboards for continuous improvement.
7+ years of experience in data engineering, with at least 3 years in a lead or senior role;
~ Extensive experience with AWS data services (Redshift, S3, Glue, Lambda, etc.);
~ Strong proficiency with dbt and SQL for data transformation;
~ Experience with streaming data technologies (Kafka, Kinesis) and real-time processing;
~ Hands-on experience with Python, Airflow (or similar orchestration tools), and infrastructure-as-code;
~ Understanding of data security, encryption, and multi-tenant architecture principles;
~ Strong background in implementing data quality frameworks and validation processes;
~ Proven experience leading engineering teams and managing technical projects;
Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders;
Experience mentoring junior engineers and establishing engineering best practices;
Track record of successful client-facing technical implementations;
Ability to build consensus around data governance policies and data quality standards;
Experience leading cross-functional initiatives and driving organisational change;
Strong advocacy skills for promoting data quality culture throughout the organisation.
Competitive salary and benefits package;
Collaborative, innovative work environment with the latest tools and technologies;
Remote-friendly work arrangements with flexible hours.
If you''re passionate about building innovative data platforms that drive real business value and are excited about tackling complex technical challenges in a fast-growing industry, we want to hear from you!