Squad Lead Data Engineering & Analytics

Adasight helps startups and scale-ups unlock their growth potential with the help of data. As an interdisciplinary team, we bridge growth methodologies with technical expertise and execution.

We consist of data-savvy marketers, product analysts, data engineers, and analysts, to tackle what we call Growth Analytics: Combining acquisition-marketing analytics and product analytics. Some of our clients are cool startups  like Personio and  Sift.

Growth doesn’t stop with our clients but is part of our company DNA for professional development and career progression. We believe that professional success should not depend on where you have started, but on where you want to go and how eager they are to get there. As a global remote team, we adopt new technologies and ideas in a rapidly changing world.

Join our team, to be part of the future of work, and build something truly meaningful.

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About the Role

We are looking for a Squad  Lead to guide one of our cross-functional squads in delivering high-quality data engineering and analytics solutions. This role sits at the intersection of technical leadership, delivery ownership, and hands-on engineering, ensuring our squads build scalable data pipelines, reliable analytics foundations, and actionable insights for our clients.

You will be both a builder and a leader: designing solutions, mentoring engineers and analyst, and working closely with stakeholders to ensure projects are delivered with technical excellence and business impact.

Key Responsibilities

• Technical Leadership
  
  
  
  • Own the technical vision and architecture for the squad’s projects in data engineering and analytics.
    
    
  • Define data and analytics standards and best practices to ensure data quality and reliability.
    
    
  • Guide the team in selecting tools and frameworks (e.g., Amplitude, GA4, BigQuery, dbt, Rudderstack, Airflow).
    
    
• Squad Management & Delivery
  
  
  
  • Act as the main technical point of contact within the squad.
    
    
  • Coordinate with the Squad Leader and PMs to align technical execution with business priorities.
    
    
  • Ensure deliverables are on time, scalable, and meet quality standards.
    
    
• Hands-On Engineering
  
  
  
  • Build and maintain ETL/ELT pipelines, data models, and integrations.
    
    
  • Contribute to analytics implementations (e.g., tracking plans, event modeling, attribution).
    
    
  • Support experimentation frameworks and data-driven decision-making processes.
    
    
• Mentorship & Growth
  
  
  
  • Coach junior and mid-level engineers and analyst within the squad.
    
    
  • Foster a culture of knowledge-sharing, documentation, and continuous improvement.
    
    
  • Help grow the squad’s technical capability by identifying skill gaps and proposing upskilling initiatives.
    
    

What We’re Looking For

• Experience: 5+ years in data engineering, analytics, or a related field.
  
  
• Technical Skills:
  
  
  
  • Strong SQL and data modeling expertise.
    
    
  • Proficiency in Python and/or dbt for data workflows.
    
    
  • Experience with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
    
    
  • Familiarity with event-based tracking systems (GA4, Amplitude, Rudderstack, Segment).
    
    
  • Understanding of experimentation and A/B testing frameworks is a plus.
    
    
• Leadership: Previous experience leading projects, mentoring engineers, or owning delivery within a squad/team.
  
  
• Mindset: Problem-solving, collaborative, and comfortable balancing technical depth with delivery speed.
  
  

Success in This Role Means

• The squad delivers reliable, high-quality data pipelines and analytics setups.
  
  
• Team members  in the squad feel supported, challenged, and grow technically under your guidance.
  
  
• Stakeholders trust your technical judgment and see the squad as a reliable partner in data-driven growth.
  
  
  

Benefits

• 💻 Fully Remote & Flexible Work – Work from anywhere with flexible hours (as long as there’s overlap with core team times)
• 🌍 International Exposure – Collaborate with clients and colleagues across 11+ nationalities
• 🎓 Continuous Learning – Access to our Adasight Academy training in analytics, experimentation, and AI workflows
• 🛠 Best-in-Class Tooling – Work with leading platforms like Amplitude, PostHog, Segment, Optimizely
• 🌴 Time to Recharge – 25 days of paid holiday per year
• 💡 Career Growth – Clear path to specialist roles after training

How to Apply

Send us:

• Your resume
• A short cover letter explaining your interest in the role and why you’re a great fit

📩 Apply via:careers@adasight.com

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