Youll work in cross-functional squads that include data engineers, analytics engineers, data scientists, and business stakeholders, delivering measurable business value within focused sprint cycles.
As a member of the Analytics Engineering Chapter, youll develop your skills alongside peers while rotating between different squads based on business priorities. One week you might be building executive dashboards for operational efficiency, the next you could be supporting marketing teams with customer segmentation analytics, or collaborating with product teams on personalization initiatives.
Were not just creating traditional reports - were building the foundation for IGs data-driven future. Youll work with cutting-edge technologies like Looker, collaborate with AI/ML teams on intelligent automation, and help business users become more self-sufficient with data.
responsibilities :
Design and develop scalable data models using dbt that empower business users across the organization with self-service analytics capabilities
Support development of AI agents, co-pilots, and automated insights
Lead the technical implementation of our Looker migration strategy, ensuring seamless transition of business-critical dashboards
Collaborate with stakeholders to understand business requirements and translate them into efficient data models
Maintain and improve data integrity through robust testing and documentation
Mentor team members on data modeling best practices and modern analytics engineering approaches
Partner with data engineering teams to optimize our data pipeline architecture
requirements-expected :
Someone who can lead the design and implementation of our data models, ensuring they meet the highest standards of performance, maintainability, and usability for our business users
Someone who thinks beyond dashboards to AI-powered insights and automation
A data modeling expert who will drive our migration to Looker, ensuring our dashboards and analytics capabilities not only survive the transition but emerge stronger and more scalable
A collaborative team player who will work closely with stakeholders across HR, Product, Sales, and Marketing domains to understand their data needs and deliver solutions that enable self-service analytics
An advocate for data quality who will implement and maintain robust testing frameworks, documentation, and governance practices to ensure our data models remain reliable and trusted
A technical mentor who can help elevate the teams capabilities in modern data modeling practices and tools, particularly in dbt and Looker
offered :
Home office equipment reimbursement
Performance related bonus
Private medical cover for you and your family/partner (Medicover)
Multikafeteria system (you can choose a multisport card, vouchers, etc.)
Life insurance (Generali)
LinkedIn Learning platform free access
Share Plans for Employees
Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture
Career-focused technical and leadership training in-class and online, incl. unlimited access to LinkedIn Learning platform
Well-being events as well as Employee Assistance Programme
Summer picnic, New Year party and other social events
3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work
