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Vimachem - IIoT Pharma 4.0 AI Platform

BI and Data Engineer

Vimachem - IIoT Pharma 4.0 AI Platform

BI & Data Engineer responsible for reporting and analytics on pharma manufacturing software. Designing data models and building production dashboards for operational reports.

Posted 6/12/2026full-time🇬🇷 GreeceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Build new reports for module releases, working with PMs on the brief and engineering on the source data
  • Refactor existing reports to a common standard for layout, performance, and UX
  • Tune slow queries and dashboards; fix bottlenecks at the SQL, schema, or aggregation layer
  • Maintain the modeling / semantic layer in Metabase so non-technical users can self-serve where appropriate
  • Define and apply naming, formatting, and visual standards for reports across the platform
  • Partner with engineering on schema and event design so the data needed for reporting exists at the source
  • Build reusable report templates that help our implementation team deliver faster on customer-specific requests
  • Track usage and feedback on reports; double down on what matters, retire what doesn't
  • Support AI and ML initiatives by preparing and maintaining high-quality datasets the AI features on our platform can build on

Requirements

What you’ll need
  • 5+ years of experience in a BI, analytics engineering, or data engineering role at a B2B SaaS company
  • Strong SQL - you can write, read, and tune complex queries against large operational datasets
  • Hands-on experience building production dashboards in Metabase (or a direct equivalent: Looker, Superset, Power BI, Tableau, Mode)
  • Experience designing data models for analytics (dimensional modeling, semantic layers, or similar)
  • Experience with at least one modern data transformation stack (dbt, SQLMesh, or hand-rolled pipelines in Python/SQL)
  • Track record of making slow reports fast - query tuning, indexing, materialized views, pre-aggregations
  • Comfortable working directly with product managers and engineers, not behind a ticketing wall

Benefits

Comp & perks
  • Performance-based bonus
  • Employee Stock Option Plan (ESOP)
  • Health & Life insurance
  • Meal vouchers
  • Transportation and commuting support
  • Flexible working hours
  • Extra birthday leave
  • Modern work environment with an open culture towards improvements and new ideas, supported by modern tools and equipment to do your job properly
  • A buddy system during onboarding and on-the-job learning with senior experts
  • Personal training budget
  • Participation in conferences, seminars, or industry events
  • Team-building activities, wellbeing initiatives, and company events

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata modelingdimensional modelingsemantic layersquery tuningindexingmaterialized viewspre-aggregationsdata transformationbuilding production dashboards
Soft Skills
collaborationcommunicationproblem-solvingfeedback trackinguser experience designreporting standards definitionpartnering with engineeringcustomer-focusedadaptabilityself-service enablement