Ambience Services

Data Engineering Lead

Ambience Services

full-time

Posted on:

Location Type: Hybrid

Location: Tavros • 🇬🇷 Greece

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Job Level

Senior

Tech Stack

AWSETL

About the role

  • Lead and mentor the Data Engineering team, driving technical excellence and upskilling members
  • Architect, build, and optimize scalable data pipelines and workflows, ensuring data quality, reliability, and performance
  • Design and implement best practices for data modeling, ETL processes, and data integration across diverse systems
  • Shape and define processes around product discovery, backlog management, and value delivery
  • Collaborate with cross-functional teams to clarify requirements and deliver impactful data solutions
  • Monitor the impact of delivered solutions and drive continuous improvement

Requirements

  • 2+ years of experience managing Software Engineering teams
  • 4+ years of experience in Data Engineering, having built Data solutions and products (e.g Data Lake, Data Warehouse, pipelines)
  • Familiarity with AWS
  • People-centric approach in team management, looking after your team members, their well-being and their professional growth
  • Great communication skills and enthusiasm to talk to stakeholders and clients
  • Comfort working in ambiguity — moving quickly with limited resources, but clear intent.
  • A balance of vision and execution: you can set a direction and roll up your sleeves to deliver. We are looking for someone who will be quite hands-on with engineering work
  • Background in startups or high-growth environments (Nice to Have)
  • Experience in B2B environments (Nice to Have)
  • Experience with Agile methodologies (Nice to Have)
Benefits
  • 💸 Competitive renumeration package
  • 🏥 Private medical insurance
  • 🎯 Performance based bonus
  • 📚 Training & development opportunities
  • 🤝 A team that loves innovation, quality, and having fun at work
  • ⚖️ Work-life balance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata modelingETL processesdata integrationdata pipelinesdata solutionsdata lakedata warehouseAWSAgile methodologies
Soft skills
leadershipmentoringcommunicationcollaborationteam managementpeople-centric approachenthusiasmcomfort in ambiguityvision and executioncontinuous improvement