Data Engineer

Overview

We are building the era of enterprise intelligence. Our vision is to improve our clients’ productivity through data and AI by creating solutions that deliver clear business impact. As a Microsoft partner, we are at the forefront of helping companies transform how they operate. What brings us together is deep technical expertise, a creative engineering mindset and a people‑first culture. At Norrin, you can grow in the direction that matters to you and build solutions that make a real difference. Norrin has strong roots in Finland, but we are operating internationally across the Nordics, the United States and APAC.

We’re looking for Data Engineers to join our growing team in Bangkok. You might be a data enthusiast with a couple of years under your belt or already a more seasoned professional. What matters most to us is your willingness to keep learning, take ownership, and work on solutions that create clear business value.

Role Responsibilities

As a Data Engineer, you’ll work on diverse cloud‑based customer projects in local and global deliveries. You’ll design and implement modern data platform solutions using Microsoft Fabric, Azure data and analytics service, Databricks, and AI‑powered tools. Your work can include architecture planning, data modeling, and building integrations in close collaboration with clients and internal experts. We’ll shape the exact scope of your role based on your experience, strengths, and interests, ensuring you’re both challenged and supported.

What We Value

• 2–5 years of experience in data engineering or analytics development

• Experience building Databricks and/or Fabric‑based solutions in an Azure environment

• Understanding of data warehousing, data modelling, and integrations

• Good collaboration skills and a customer‑oriented mindset

• Curiosity and initiative to keep learning new things and stay up to date

• Ability to communicate technical solutions clearly, also to non‑technical stakeholders

• Strong English skills are essential, as English is our primary working language

Technical Toolbox

• Strong skills in SQL and Python/PySpark

• Experience in building data pipelines and ETL processes (Databricks, Fabric, Azure Data Factory, Synapse or similar)

• Solid understanding of data security and privacy principles

• Experience with dimensional modelling

• Knowledge of DevOps and CI/CD principles

What’s a Plus

• Experience with Machine Learning and Gen AI

• Power BI reporting

• Cloud‑based data warehouses such as Snowflake

• Certifications in Databricks, Azure or Microsoft Fabric

Benefits

• People‑first culture: a workplace where you can be yourself

• International environment: work with colleagues and clients across Europe, the US, and APAC, using English as the primary working language

• Flexible working model: hybrid work that supports both focus and collaboration

• Generous health care allowance, provident fund, 10 days paid holiday per year

• Support for continuous learning through training, certifications, and active guild communities