Data Engineer

Aambience Services is an innovative company, providing workflow automation solutions and information technology services. What makes us different is our strong desire to challenge the status quo, inspire and create ground-breaking solutions. We build relationships of trust with our clients, on solid foundations of quality and know-how, while creating great experiences, through great customer service.

Our team consists of experienced professionals with a passion for their work. They are the cornerstone of our company’s dynamic culture and stand as strong and reliable partners towards our customers’ concerns and needs. This is why we have built a diverse environment that maximizes employee engagement and performance, based on our key value to invest in and develop our people and teams.

We’re looking for a Data Engineer to participate in the efforts of building data products for our clients through innovative and up-to-date technology. We understand that data is the key ingredient to offering great services with wealth of information that adds value to each business. To that end, we are building a Data Engineering team that will shape those products and the workflows that create and move them. You will have to bring your experience and expertise in building end-to-end data solutions and in employing best practices from the software industry. You will be part of a team of enthusiastic engineers who live and breathe data and are keen to evolve to the powerhouse of every application and platform that Aambience builds.

What You’ll Do

• 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