Analytics Engineering Team Lead
- Kraków, małopolskie
- Stała
- Pełny etat
- Lead and develop a team of analytics engineers, providing technical mentorship, career guidance, and architectural direction while managing resource allocation across multiple cross-functional squads
- Drive the technical strategy and implementation of our Looker migration, ensuring seamless transition of data models while collaborating with senior stakeholders to align technical solutions with business objectives
- Champion the development of AI-powered analytics infrastructure and automated insights while partnering with Data Engineering and AI/ML teams to optimize our data pipeline architecture
- Establish and enforce data modelling best practices, testing frameworks, and governance standards across the organization, ensuring consistency, quality, and scalability of all data assets
- Manage technical talent development across the Analytics Engineering Chapter, ensuring effective team rotation between squads based on business priorities
- Lead knowledge-sharing initiatives to build IG's analytics engineering capabilities and foster a culture of technical excellence and innovation
- Guide cross-functional squads delivering robust, scalable data solutions within focused sprint cycles while developing team members' technical expertise and careers
- Foster collaboration across IG's four data themes: Business Intelligence, Operational Efficiency, Client Acquisition, and Personalisation
- Design and build scalable data models that enable self-service analytics across IG's global FinTech operations
- Ensure data solutions directly support IG's strategic themes and deliver measurable performance improvements through advanced analytics and automation
- Champion data quality and governance practices across the organization, creating consistency and quality at scale
- Manage multiple complex data modeling projects simultaneously, ensuring critical business data models are delivered at pace while maintaining highest standards
- 3+ years of demonstrated experience in analytics engineering or data modelling roles with strong expertise in building scalable data solutions
- Leadership experience or clear leadership potential with proven ability to mentor technical talent and build high-performing engineering teams
- Track record of implementing data quality frameworks, governance practices, or technical standards across teams or organizations
- Expert knowledge of dbt including testing frameworks, documentation, and advanced modelling techniques
- Advanced SQL skills and deep understanding of data modelling concepts with extensive experience on cloud data platforms, particularly Google BigQuery
- Hands-on experience managing GCP analytics infrastructure as code using Terraform, including BigQuery datasets, Cloud Composer, dataflow pipelines, and IAM configurations
- Experience with Python programming for data processing and analysis
- Familiarity with data pipeline orchestration and workflow management tools
- Proven ability to drive technical migrations and establish best practices
- Excellent technical communication and stakeholder management skills with ability to translate complex technical concepts into business value
- Strong collaboration skills and commitment to fostering inclusive, innovative technical cultures
- Ability to influence senior decision-makers and manage complex stakeholder relationships
- Delivery-focused mindset with capability to manage multiple projects simultaneously while maintaining quality standards
- Curiosity about financial technology and commitment to understanding complex regulatory environments