🚀 Data Engineer – IC4 (Data Tribe)
📍 Sofia, Bulgaria | 🕒 Full-Time | 💻on site
Who Are We
Epos Now is a cutting-edge, cloud-first business in the payments and point-of-sale (POS) space, powering commerce for thousands of customers in over 70 countries. Our technology is transforming how businesses operate and grow—seamlessly, securely, and with flexibility at their core.
At the heart of our mission is one simple vision: “To make commerce accessible for everyone.” Join a high-growth, globally connected company that’s redefining retail technology.
About the Data Tribe
The Data Tribe is a high-impact, cross-functional team within the Epos Now Engineering division. We’re responsible for building and evolving the data infrastructure that powers insight-driven decisions across the organisation. From streamlining reporting pipelines to architecting scalable data platforms, our focus is delivering high-quality, accessible data to every corner of the business.
The Role
As a Data Engineer (IC4) in our Data Tribe, you’ll play a senior technical role in building and optimising Epos Now’s modern data platform. This is a hands-on position requiring deep technical expertise, but also a strategic mindset as we shift our analytics foundation to a new AWS-based data warehouse.
You’ll be a key player in enabling analytics, building internal data tools, and ensuring the platform is reliable, scalable, and secure—paving the way for smarter business decisions and operational excellence.
Key Skills
Advanced proficiency in SQL and Python for data transformation and automation
Experience with Azure data services and business intelligence tooling
Familiarity with containerisation technologies like Docker (desirable)
Hands-on knowledge of AWS data services (e.g. Redshift, Glue, S3)
Proficiency in Power BI or similar analytics/reporting tools (desirable)
Experience with SQL Server (desirable)
Key Responsibilities
Partner with stakeholders across the business to deliver actionable insights from diverse data sources (Azure, Salesforce, and others)
Lead the migration of reporting infrastructure to a modern AWS-based data warehouse
Design and implement robust ETL pipelines and data models
Monitor and optimise data flows for performance, reliability, and cost-efficiency
Contribute to best practices for data governance, quality, and documentation
Provide mentorship and technical guidance to junior engineers within the team
Why Join Us?
A vibrant tech culture with a global footprint
Career growth pathways within a scaling tech business
Access to cutting-edge cloud technologies
The opportunity to shape the future of data engineering at Epos Now
Apply now and help us build the future of data at the forefront of retail tech.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Engineer Q&A's