Description review
Databricks Analytics Consultant (Semantic Layer & Governance)
TalentCloud Group · Germany · back to the listing
HR standards
49/100
poor
Title ↔ description
77/100
solid
Reads as
Data Engineer
93% confident
How others title the same work
Large employers
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
Startups
- Senior Data Engineer Camber
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
- Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity Connie Health
- DoubleVerify (DV Scibids) | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K DoubleVerify (DV Scibids)
- Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)
What the listing never says
- 20 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Contract Opportunity: Analytics Engineer / Databricks Consultant (Remote, must be based in Germany)
I'm supporting a major data transformation initiative and looking for an experienced Analytics Engineer / Databricks Specialist who can help build the next generation of governed, AI‑enabled analytics.
If you enjoy shaping semantic layers, building SQL models, and enabling business teams with modern BI capabilities, this one is worth a look.
Project Details
•
Start: May 2026
•
Duration: 3 months + extension option
•
Location: Fully remote within Germany
•
Collaboration: Close alignment with teams in the USA
What You'll Be Working On
• Developing robust SQL‑based data models on Databricks for analytics, reporting, and self‑service BI
• Owning Unity Catalog setup and governance (lineage, access control, discoverability)
• Creating AI/BI dashboards and enabling conversational analytics using Databricks Genie
• Implementing NL2SQL so business users can query data in natural language
• Designing a scalable semantic layer to ensure consistent metrics across the organisation
• Setting up Row‑Level Security (RLS) and role‑based access controls
• Supporting integrations with downstream reporting tools
What You Bring
• 6– 10 years1 of experience in analytics engineering or data consulting
• Strong hands‑on expertise with Databricks SQL, Unity Catalog, and governed analytics
• Experience with semantic layer design and BI/AI dashboarding
• Background in Retail or CPG is a plus
• Comfortable collaborating with international teams (project language: English)
Project Details
•
Start: May 2026
•
Duration: 3 months + extension option
•
Location: Fully remote within Germany
•
Collaboration: Close alignment with teams in the USA
Originally posted on Himalayas
I'm supporting a major data transformation initiative and looking for an experienced Analytics Engineer / Databricks Specialist who can help build the next generation of governed, AI‑enabled analytics.
If you enjoy shaping semantic layers, building SQL models, and enabling business teams with modern BI capabilities, this one is worth a look.
Project Details
•
Start: May 2026
•
Duration: 3 months + extension option
•
Location: Fully remote within Germany
•
Collaboration: Close alignment with teams in the USA
What You'll Be Working On
• Developing robust SQL‑based data models on Databricks for analytics, reporting, and self‑service BI
• Owning Unity Catalog setup and governance (lineage, access control, discoverability)
• Creating AI/BI dashboards and enabling conversational analytics using Databricks Genie
• Implementing NL2SQL so business users can query data in natural language
• Designing a scalable semantic layer to ensure consistent metrics across the organisation
• Setting up Row‑Level Security (RLS) and role‑based access controls
• Supporting integrations with downstream reporting tools
What You Bring
• 6– 10 years1 of experience in analytics engineering or data consulting
• Strong hands‑on expertise with Databricks SQL, Unity Catalog, and governed analytics
• Experience with semantic layer design and BI/AI dashboarding
• Background in Retail or CPG is a plus
• Comfortable collaborating with international teams (project language: English)
Project Details
•
Start: May 2026
•
Duration: 3 months + extension option
•
Location: Fully remote within Germany
•
Collaboration: Close alignment with teams in the USA
Originally posted on Himalayas