Data Engineer - AI-Driven Pipelines (Stock Options, Hybrid)

Ardoq; Oslo; Hybrid; NOK 900,000 - 1,200,000; Full time

Benefits offered by this job

Employee Stock Options

25 days annual leave

Enhanced parental leave

Retirement and insurance benefits

Annual learning budget

Hybrid working policy: 2-3 days in OSO

Job summary

Ardoq is looking for a mid/senior Data Engineer to join the centralized data team in Oslo. You will own data pipelines and models used across the company, collaborating with product, finance, customer success, and other stakeholders to deliver trusted data solutions.

You will design scalable data pipelines, monitor health, and continuously improve data processing frameworks while embracing AI-enabled approaches to automate and scale the data platform.

Qualifications

• 4+ years of experience building and operating production-grade data pipelines and warehouse infrastructure.
• Hands-on experience with cloud data warehouses (Snowflake, Redshift, etc.), orchestration tools (Airflow, Dagster, Argo etc.), and modern data stack tooling (e.g., dbt).
• Solid understanding of data pipeline architecture, ELT/ETL patterns, and data warehouse design principles.
• Excellent communication skills, with the ability to work across dynamic teams and explain ideas to both technical and non-technical audiences.
• A pragmatic approach to data quality: you know when 'good enough' is good enough, and when it isn't.
• You're comfortable with ambiguity - when the scope isn't fully defined, you define it, and you bring the people around you along.

Responsibilities

• Partner directly with Product, Customer Success, Finance, and other business stakeholders to understand what they actually need from the data and build the pipeline, model, or solution to get them there.
• Design and implement scalable data pipelines that power analytics and business decision-making.
• Build and maintain alerting to monitor pipeline health, and diagnose and resolve failures within a reasonable time when they happen.
• Improve data models, ingestion logic, and processing frameworks for performance and long-term maintainability.
• Automate away maintenance tasks and balance competing priorities while keeping stakeholders informed on timelines.
• Be on the forefront of Data and AI, using AI as a core component of your work to build, test, and automate.
• Contribute to architectural decisions for Ardoq's data platform and translate trade-offs for non-technical audiences.

Skills

SQL

Python

Tools

Snowflake

Redshift

Airflow

Dagster

Argo

dbt

Job description

Ardoq is looking for a mid/senior Data Engineer to join the centralized data team in Oslo. You will own data pipelines and models used across the company, collaborating with product, finance, customer success, and other stakeholders to deliver trusted data solutions.

You will design scalable data pipelines, monitor health, and continuously improve data processing frameworks while embracing AI-enabled approaches to automate and scale the data platform.