Data Engineer: Cloud Data Platforms & Pipelines

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 is a Gothenburg-based technology consultancy with roots in cybersecurity, working with clients across automotive, manufacturing, banking and finance, retail, and healthcare. As part of our growing technology practice, we're building our bench for upcoming client engagements in data engineering, specifically around cloud data platforms, pipeline development, and data integration on Azure and/or AWS. If you build the infrastructure that turns raw data into something people can trust and use, we want to hear from you!

Depending on the assignment, the work might involve:

• 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

What you'll bring:

• At least 2 to 3 years of hands-on experience building data pipelines or platforms in a production environment
• Solid experience with one major cloud platform: Azure (Data Factory, Synapse, Databricks) or AWS (Glue, Redshift, S3-based pipelines)
• Strong SQL and programming skills in Python or similar
• Practical experience with data modeling and orchestration tools such as dbt, Airflow, or Databricks
• An understanding of data quality and governance, and how to build pipelines that scale without silently breaking
• A plus: experience with Snowflake, Kafka or event streaming, or working directly with BI teams using Power BI, Looker, or Tableau

Across all assignments:

• Comfortable working independently inside a client's existing tech stack and team
• Clear communication, as you'll need to explain data issues and decisions to both engineers and non-technical stakeholders
• Certifications are a plus, not a requirement. Examples include Microsoft Azure Data Engineer Associate or AWS Certified Data Engineer

This is a Sweden-based role, with placements at client sites across the country. You'll be employed or engaged on a freelance basis and placed directly with our clients for the duration of each engagement.