About the role

  • Data Engineer building data solutions for clients at Aambience Services using innovative technologies. Collaborating with teams to ensure data quality and performance.

Responsibilities

  • Build and optimize scalable data pipelines and workflows, ensuring data quality, reliability, and performance
  • Design and implement best practices for data modeling, ETL/ELT processes, and data integration across diverse systems
  • Own the backlog of the team along with the other team members and give your best in delivering towards agreed goals and objectives
  • Collaborate with members of other teams that build applications and platforms
  • Monitor the impact of delivered solutions and drive improvement through your actions and continuous learning

Requirements

  • 3+ years of experience in Data Engineering, having built Data solutions and products (e.g. Data Lake, Data Warehouse, pipelines)
  • Familiarity with AWS
  • Great communication skills and enthusiasm to collaborate with stakeholders and other members of the organisation
  • Comfort working in ambiguity — moving quickly with limited resources, but clear intent.
  • Νice to Have
  • Background in startups or high-growth environments.
  • Experience in B2B environments
  • Experience with Agile methodologies

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

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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