Data Analytics Engineer: Build In-House Data Foundation

Cph Ai Hub; København; Hybrid; DKK 650,000 - 900,000; Full time

Job summary

Tekla is building a data-driven future. We seek a Data Analytics Engineer to bring the data platform in-house, own end-to-end data pipelines from ERP to BigQuery, and shape how the company uses data and AI.

You will collaborate with ecommerce, merchandising, finance, and operations, transitioning from an external partner to full ownership while enabling dashboards and AI-ready data across functions.

Qualifications

• 4+ years in data or analytics engineering.
• Bachelor's degree in CS, statistics, math, engineering, or equivalent.
• Experience building and running a modern data stack (Weld, BigQuery, dbt).
• Strong SQL and dimensional modelling skills.
• Experience building dashboards with Power BI, Looker, or Tableau.
• Experience with API integrations.
• Good engineering practices: version control, testing, documentation, and CI/CD.
• Comfort using Claude AI and helping others use it.

Responsibilities

• Data foundation: lead handover of data platform, own ELT pipelines from ERP to BigQuery, dbt projects, and semantic layer.
• Analytics support: turn questions into models and metrics; extend data with new models.
• Data and AI: rework data model for reliable AI queries; develop AI dashboard tool for rapid sharing.

Skills

SQL

Dimensional modelling

CI/CD

APIs

Data governance

Communication

Education

Bachelor's degree in a relevant field

Tools

Weld

BigQuery

dbt

Power BI

Looker

Tableau

Mixpanel

Claude

Microsoft Dynamics 365 Business Central

Job description

Tekla is building a data-driven future. We seek a Data Analytics Engineer to bring the data platform in-house, own end-to-end data pipelines from ERP to BigQuery, and shape how the company uses data and AI.

You will collaborate with ecommerce, merchandising, finance, and operations, transitioning from an external partner to full ownership while enabling dashboards and AI-ready data across functions.