Senior Data Engineer with strong GCP experience

AppRecode, Inc.; Oslo fylke; Hybrid; NOK 900,000 - 1,200,000; Full time

Job summary

AppRecode, Inc. is seeking a Senior Data Engineer with strong Google Cloud Platform experience. The role supports remote work with periodic travel to Oslo, Norway, and may be offered as 50% allocation or full-time based on project needs.

You will build and maintain cloud-based data pipelines, design analytics-ready datasets in BigQuery, and optimize performance across data warehouses while collaborating with stakeholders to meet reporting requirements.

Qualifications

• 4+ years of professional experience in Data Engineering.
• Strong practical experience with Google Cloud Platform in production.
• Hands-on BigQuery experience.
• Experience with several GCP data services (Dataflow, Pub/Sub, Dataproc, Cloud Storage).
• Strong Python skills for data processing and automation.
• Advanced SQL and analytical data structures understanding.
• Experience designing data models for BI/reporting use cases.
• Practical experience with Apache Airflow or Cloud Composer.
• Understanding of partitioning, clustering, and performance optimization in analytical environments.
• Experience with Git and automated deployment processes.
• Ability to independently own technical tasks from development through production support.

Responsibilities

• Develop and support cloud-based data ingestion and transformation workflows.
• Build scalable batch and near-real-time processing solutions using Google Cloud services.
• Design and maintain analytics-ready datasets and data structures in BigQuery.
• Improve query efficiency, partitioning, clustering, and warehouse performance.
• Set up and manage scheduled workflows with Cloud Composer/Airflow.
• Connect data from APIs, internal applications, file-based sources, and external systems.
• Use Pub/Sub, Dataflow, Dataproc, and Cloud Storage where appropriate.
• Introduce automated controls for data quality, pipeline failures, and monitoring.
• Support production troubleshooting and investigate data/workflow issues.
• Help control cloud consumption and optimize platform costs.
• Maintain CI/CD processes and infrastructure automation for data solutions.
• Collaborate with stakeholders to translate reporting and analytics needs into data solutions.

Skills

BigQuery

Python

SQL

Data modeling

Airflow/Cloud Composer

GCP services

Git and CI/CD

Tools

Dataflow

Pub/Sub

Dataproc

Cloud Storage

Job description

Senior Data Engineer with strong GCP experience

2026/11/04

• The position is open to EU citizens only
• The engineer may work remotely from any location, provided they can travel to Oslo, Norway when required without additional visa arrangements or travel limitations
• Belarus-based / Belarusian candidates are not eligible for this project
• The engagement can be structured as either 50% allocation or full-time, depending on availability

Responsibilities

• Develop and support cloud-based data ingestion and transformation workflows
• Build scalable batch and near-real-time processing solutions using Google Cloud services
• Design and maintain analytics-ready datasets and data structures in BigQuery
• Improve query efficiency, partitioning, clustering, and overall warehouse performance
• Set up and manage scheduled workflows and dependencies using Cloud Composer/Airflow
• Connect data from APIs, internal applications, file-based sources, and external systems
• Use services such as Pub/Sub, Dataflow, Dataproc, and Cloud Storage where appropriate
• Introduce automated controls for data quality, pipeline failures, and operational monitoring
• Support production troubleshooting and investigate data or workflow issues
• Help control cloud consumption and optimize platform costs
• Maintain CI/CD processes and infrastructure automation for data solutions
• Collaborate with technical and business stakeholders to translate reporting and analytics needs into workable data solutions

Requirements

• 4+ years of professional experience in Data Engineering
• Strong practical experience working with Google Cloud Platform in production
• Strong hands-on knowledge of BigQuery
• Experience with several GCP data services such as Dataflow, Pub/Sub, Dataproc, or Cloud Storage
• Strong Python skills for data processing and automation
• Advanced SQL and strong understanding of analytical data structures
• Experience designing data models for BI and reporting use cases
• Practical experience with Apache Airflow or Cloud Composer
• Understanding of partitioning, clustering, and performance optimization in analytical environments
• Experience with Git and automated deployment processes
• Ability to independently own technical tasks from development through production support

Nice to have

• Terraform or similar infrastructure automation tooling
• Experience with streaming or event-driven data pipelines
• Exposure to Kafka or similar messaging platforms
• Experience with automated data quality tooling
• Previous work with Nordic clients or distributed international teams