[Hiring] Analytics Engineer BI Developer @MWDN

Role Description

Join a forward-thinking consulting environment that helps companies scale through modern cloud, data, and AI-driven solutions. The team partners with organizations across industries to design and implement robust, multi-cloud architectures, combining deep infrastructure expertise with advanced data platforms.

• Design and implement data transformation pipelines and semantic data models using dbt or equivalent frameworks.
• Build and maintain data marts, aggregated layers, and consumption-ready datasets aligned to project and stakeholder requirements.
• Develop dashboards, reports, and self-service analytics environments using modern BI tooling (Power BI, Looker, Tableau, or equivalent).
• Define and implement a semantic layer that bridges technical data models and business-friendly metrics.
• Collaborate with the Senior Analytics & Data Engineer on transformation layer design and integration patterns.
• Document data lineage, business metric definitions, data dictionaries, and dashboard logic consistently.
• Implement data validation checks within transformation pipelines and work with the DataOps Engineer on quality automation.
• Participate in agile ceremonies across Scrum and Kanban workstreams.
• Use AI-assisted tools to accelerate model development, documentation, dashboard scaffolding, and query optimization.

Qualifications

• 4+ years in analytics engineering, BI development, or data engineering roles spanning both transformation and visualization layers.
• Strong SQL proficiency and hands-on experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse, or equivalent).
• Hands-on dbt experience (Core or Cloud) or equivalent transformation framework.
• Proficiency with at least one major BI tool - Power BI, Looker, Tableau, or equivalent - including semantic/data model configuration.
• Understanding of dimensional modeling and semantic layer design.
• Ability to translate business requirements into data models and visualizations without heavy hand-holding.
• Experience working in agile delivery environments.
• Strong written English for documentation, metric definitions, and async communication.

Requirements

• Experience with headless BI or semantic layer tools (Cube, Metriql, dbt Semantic Layer).
• Python skills for custom transformation logic or data pipeline scripting.
• Exposure to multiple cloud platforms.
• Experience designing self-service analytics environments for non-technical end users.
• Multi-industry background - analytics patterns vary significantly by vertical.

Benefits

• People-first management with minimal bureaucracy.
• A friendly company culture, proven by employees who choose to return.
• Flexible working hours.
• Full financial and legal support for independent contractors.
• Free English classes, with native speakers or Ukrainian teachers.
• Dedicated HR support.