Senior Data Engineer

iFindTech Ltd; Stockholms kommun; On-site; SEK 800,000 - 1,100,000; Full time

Job summary

iFindTech Ltd. is seeking a Senior Data Engineer to own and scale our data platform. You will build robust data pipelines, shape architecture, and drive data quality and governance across the business.

Work closely with Product, Engineering and leadership to translate data into value, aligning technical decisions with business outcomes and helping steer AI initiatives at scale.

Qualifications

• Strong hands-on experience with Azure Databricks.
• Excellent Python and SQL skills.
• Strong experience building and scaling data pipelines.
• Solid understanding of data modelling and architecture.
• Experience working with Spark.
• Ability to take ownership of data quality, governance and reliability.
• Strong stakeholder communication across technical and non-technical teams.
• Commercial mindset with the ability to connect technical decisions to business outcomes.

Skills

Azure Databricks

Python

SQL

Data pipelines

Data modelling

Spark

Data quality governance

Stakeholder communication

Commercial mindset

Job description

We’re looking for a Senior Data Engineer to take ownership of our data platform and play a key role in shaping how data is used across the business. This is a hands‑on position combining strong data engineering with strategic input - you’ll build and scale the platform, improve data quality and architecture, and work closely with Product, Engineering and leadership to identify where data, analytics and AI can create the most value.

Must Haves:

• Strong hands-on experience with Azure Databricks
• Excellent Python and SQL skills
• Strong experience building and scaling data pipelines
• Solid understanding of data modelling and architecture
• Experience working with Spark
• Ability to take ownership of data quality, governance and reliability
• Strong stakeholder communication across technical and non-technical teams
• Commercial mindset with the ability to connect technical decisions to business outcomes

Nice to Haves:

• Experience defining or contributing to a data strategy and roadmap
• Experience enabling Machine Learning and AI use cases
• Experience working closely with Product and Engineering teams
• Previous experience owning or significantly influencing a data platform
• Comfortable operating in a role that combines hands‑on engineering with strategic responsibility