Staff Insights Engineer: Build Trusted Benchmark Data

Dreamdata.io; København; On-site; DKK 800,000 - 1,200,000; Full time

Benefits offered by this job

Location in Copenhagen

Equity

Lunch provided

Inclusive culture

Private health insurance

Office dogs

Job summary

Dreamdata is seeking a Staff Insights Engineer to build and scale the data foundation powering our B2B analytics platform. You’ll own analytics engineering, data science, and warehouse ownership, partnering with marketing to ensure fast, accurate, and well-caveated insights.

You will lead complex data modeling, aggregation, anonymization, and methodology across benchmarks, dashboards, and reports, enabling the marketing team to publish trusted numbers quickly and independently.

Qualifications

• Production SQL, at depth with window functions, incremental models, and warehouse-scale optimization.
• Data engineering ownership over a warehouse project end-to-end with dimensional/semantic modeling, transformations, tests and CI.
• Real statistical grounding: sampling, confidence intervals, and bias understanding.
• Aggregation, anonymization, and minimum-cohort rules under privacy constraints.
• Clear technical writing explaining methodology so marketers and analysts can trust numbers.
• Analytically correct charts with proper denominators and truthful axes.
• Genuine curiosity about B2B go-to-market dynamics and analytics.
• Autonomy and fluency with AI tooling to accelerate work.

Responsibilities

• Learn the Dreamdata data model end-to-end and model benchmark datasets.
• Improve aggregation and anonymization layers.
• Stand up version-controlled data transformations with tests and CI.
• Define metric definitions and semantic layer accessible to marketing queries.
• Set methodology standards for samples, CIs, and bias disclosure.
• Turn questions into defensible, quickly-delivered answers.
• Own analysis behind quarterly benchmark reports and recurring data publications.
• Act as technical reviewer to ensure findings are supported by data.
• Maintain a self-serve layer so marketing can answer most questions independently.

Skills

Production SQL

Data engineering ownership

Statistical grounding

Aggregation & privacy

Technical writing

Analytical charts

B2B go-to-market

Autonomy + AI tools

Tools

BigQuery

dbt

Python (pandas)

Tableau/Plotly

Job description

Dreamdata is seeking a Staff Insights Engineer to build and scale the data foundation powering our B2B analytics platform. You’ll own analytics engineering, data science, and warehouse ownership, partnering with marketing to ensure fast, accurate, and well-caveated insights.

You will lead complex data modeling, aggregation, anonymization, and methodology across benchmarks, dashboards, and reports, enabling the marketing team to publish trusted numbers quickly and independently.