Data Engineer – Analytics Platform

8 Bits Code; København; Hybrid; DKK 600,000 - 900,000; Full time

Job summary

8 Bits Code is seeking a data engineer to build and improve analytics pipelines for operational and business reporting in a modern manufacturing environment. You will develop and maintain ETL/ELT data pipelines, contribute to data platform quality, observability, and performance, and collaborate with analysts and product teams to deliver trusted data products.

The role requires 3+ years on modern data platforms, strong debugging and performance optimization, and experience working with analytics

Qualifications

• 3+ years working with modern data platforms.
• Strong debugging and performance optimization skills.
• Experience collaborating with analytics and business teams.

Responsibilities

• Develop and maintain ETL/ELT data pipelines for structured and semi-structured sources.
• Contribute to data platform quality, observability, and performance tuning.
• Collaborate with analysts and product teams to ensure usable and trusted data products.

Skills

3+ years data platforms experience

Debugging

Collaboration with analytics/business

Tools

SQL

Python

Data warehousing

Spark

dbt

ETL/ELT orchestration

Job description

About the role

We are looking for a data engineer to help build and improve analytics pipelines for operational and business reporting across a modern manufacturing environment.

Responsibilities

• Develop and maintain ETL/ELT data pipelines for structured and semi-structured sources.
• Contribute to data platform quality, observability, and performance tuning.
• Collaborate with analysts and product teams to ensure usable and trusted data products.

Required skills

• 3+ years working with modern data platforms.
• Strong debugging and performance optimization skills.
• Experience collaborating with analytics and business teams.

Technical profile

• SQL and Python
• Data warehousing
• Spark or dbt
• ETL/ELT orchestration

Nice to have

• Experience in manufacturing or industrial data environments.

Who you are

You enjoy building reliable data foundations and translating business questions into clean, maintainable data pipelines.

Category Data & AI

Industry Manufacturing

Seniority Mid-Senior

Location Copenhagen, Denmark

Work mode Hybrid

Timeline ASAP – Ongoing

Duration 6 months

Language English

Interview Remote + onsite

Required skills

3+ years working with modern data platforms.

Strong debugging and performance optimization skills.

Experience collaborating with analytics and business teams.