Data Engineer, Growth Data Engineering(m/w/x)

Requirements

• 3+ years in relevant data role
• Hands-on data engineering technologies experience
• Hands-on analytics tooling experience
• Excellent written and verbal English communication
• Clear explanation of technical concepts
• Expertise in SQL and Python
• Building robust data pipelines
• Building data models
• Operating data at scale in warehouses/lakes
• Strong focus on data quality, accuracy, reliability
• Strong DBT proficiency
• Familiarity with Spark
• Solid data visualization understanding
• Enablement through tools and notebooks
• Effective prioritization skills
• Stakeholder management skills
• Translation of business needs to technical plans
• Outcome delivery ability
• Proactive approach
• Customer-oriented mindset
• End-to-end project ownership comfort
• Balancing system health with new delivery
• Collaborative mindset
• Mentoring-minded approach
• Enjoyment of knowledge sharing
• Raising standards through reviews
• Team success focus
• AI-first mindset
• Use of modern AI tools for productivity
• Accelerating business needs solutions
• Strong quality, security, governance standards
• Delivery of data products in growth/marketing domains
• Marketing attribution experience
• Brand and CRM experience
• Thriving in complex, multi-stakeholder environments
• Shipping data solutions for acquisition/retention
• Support for brand/performance marketing, CRM/lifecycle
• Navigating multiple stakeholders
• Strong CS fundamentals
• Polyglot mindset
• Comfort with Java/Scala
• Value for clean code
• Solid testing habits
• Pragmatic automation

Tasks

• Build end-to-end data solutions independently
• Deliver reliable, high-quality data solutions for decision-making
• Collaborate with Product and Data teams
• Translate business needs into outcomes
• Drive adoption of self-serve data capabilities
• Apply best practices in code quality
• Apply best practices in data modeling
• Apply best practices in testing
• Apply best practices in monitoring and alerting
• Contribute to operational support
• Improve system reliability over time
• Refactor and simplify existing pipelines and models
• Fix data quality issues at the root cause
• Make targeted performance improvements
• Make targeted cost improvements
• Participate in team planning and roadmap
• Conduct code reviews
• Share knowledge with the team
• Raise team effectiveness
• Balance operational responsibilities with new solutions
• Prioritize improvements using team SLOs

Work Experience

EducationMore information about education requirement

Languages

Tools & Technologies