Cloud Data Platform Engineer: ETL Pipelines & Data Lakehouse

Cyber Instincts AB; Göteborgs kommun; On-site; SEK 480,000 - 720,000; Full time

Job summary

Cyber Instincts AB, a Gothenburg-based technology consultancy, is expanding its data engineering practice to design and build cloud-native data platforms for client engagements across industries. You will work with Azure or AWS, implement robust ETL/ELT pipelines, and help turn raw data into trustworthy, analytics-ready assets.

The role emphasizes hands-on development, data modeling, governance, and collaboration with BI teams.

Qualifications

• 2–3 years of hands-on experience building data pipelines or platforms in production.
• Solid experience with one major cloud platform: Azure or AWS.
• Strong SQL and Python or similar programming skills.
• Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks.
• Understanding of data quality and governance, scalable pipelines.
• Nice to have Snowflake, Kafka, or BI tools like Power BI/Looker/Tableau.

Responsibilities

• Designing and building ETL/ELT pipelines feeding a data warehouse or lakehouse.
• Standing up or extending data platforms from the ground up, including ingestion, storage, and transformation layers.
• Integrating data across systems, such as APIs, databases, legacy platforms, and third-party sources.
• Supporting analytics and BI teams with clean, reliable, well-modeled data.

Skills

SQL

Python

Data pipelines

Data modeling

Data governance

Clear communication

Tools

Azure

AWS

dbt

Airflow

Databricks

Snowflake

Power BI

Looker

Tableau

Job description

Cyber Instincts AB, a Gothenburg-based technology consultancy, is expanding its data engineering practice to design and build cloud-native data platforms for client engagements across industries. You will work with Azure or AWS, implement robust ETL/ELT pipelines, and help turn raw data into trustworthy, analytics-ready assets.

The role emphasizes hands-on development, data modeling, governance, and collaboration with BI teams.