Structured mentorship and onboarding alongside an experienced team of BI and data engineers
Hands-on work with a modern tech stack - Azure, Snowflake, PostgreSQL, Power BI, Tableau, SSIS, SSMS, SSRS, SSAS, Talend
Continuous education and professional certifications
Flexible working hours and remote work options
A collaborative, direct, and supportive team culture
You get excited by messy data. You see a poorly designed data architecture and immediately start thinking about how to fix it. You're comfortable talking to a business stakeholder in the morning and writing SQL in the afternoon. You hold yourself to high standards and expect the same from the people around you. At Atomic Intelligence, our BI/DWH Consulting team builds next-generation data ecosystems for clients across telecommunications, sales, manufacturing, and beyond - transforming complex, messy raw data into a single source of truth that drives smarter business decisions. We work side by side with our clients, understand their world, and architect the intelligence layer that runs their business. We sit with clients, understand their world, and architect the intelligence layer that runs their business.
Key Responsibilities
Learning & Development
Gathering and analyzing business requirements from client stakeholders
Supporting the design and implementation of data warehouse and data lake architectures
Communicating with end users — proposing solutions and managing expectations
Data Engineering Support
Developing and testing ETL/ELT pipelines under the guidance of senior team members
Modeling and optimizing relational and analytical databases
Building BI reports, dashboards, and analytical layers for clients
Quality & Collaboration
Proactively identifying potential issues across the data stack and contributing to resolutions
Collaborating with experienced BI consultants and data engineers
Required Qualifications
Degree in Mathematics, Computer Science, or a related STEM field (PMF, FER, FOI, FESB, or equivalent)
Foundational knowledge of relational databases and SQL (T-SQL and/or PL-SQL)
Analytical mindset and genuine interest in working with data
Strong communication skills and comfort working in a client-facing environment
Fluent English — written and spoken
Preferred Qualifications
Hands-on experience with BI reporting tools — Power BI, Tableau, SSRS, or similar
Exposure to ETL tools such as SSIS or Informatica
Familiarity with cloud platforms — Azure, Snowflake
Academic or project experience in data modeling or dimensional design
