Use as template SPENN at Spenn

Oslo, , Norway -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

0.0

Posted On

22 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, dbt, SQL, Python, ELT/ETL Pipelines, Data Modeling, Data Warehousing, AWS, BI Tools, GDPR Compliance, Data Governance, AI Tooling, Data Engineering, Technical Leadership, Data Pipeline Orchestration, Analytics

Industry

Financial Services

Description

Spenn Group is a technology company building and operating a loyalty platform with flexible points in the Nordics. We connect well-known brands through one shared point system, so that everyday spending takes you further. Spenn Group provides shared, flexible points that flows freely across a range og leading consumer brands, including Norwegian, Strawberry, Uno-X, 7-Eleven, Narvesen, and REMA 1000, enabling cross-brand earn and redemption while preserving each brand's individual loyalty program. We launched in late 2024 and already have millions of users across the Nordics. We're growing fast and just getting started. This is a rare chance to join a small, ambitious team and help shape something that will touch millions of people's everyday lives. Senior Data Engineer We’re seeking a Senior Data Engineer to join Spenn Group’s Product & Tech team at our office in Oslo. As a Senior Data Engineer in our Data & Analytics team, you will design and build the data platform that powers Spenn’s analytics, reporting, and customer experiences. You’ll create reliable pipelines and well-modeled data that turn loyalty-ecosystem data into insight and product value. You will take ownership of our data platform end to end and set the standard for data engineering across the organization. Key Responsibilities Data platform – Design, build, and operate Spenn’s data platform on Snowflake, ensuring it is reliable, performant, and scalable. Data modeling & transformation – Develop and maintain robust data models and transformation pipelines using dbt, following best practices in testing, documentation, and version control. Data pipelines – Build and orchestrate ingestion pipelines that bring data from the app, platform, partners, and third-party sources into the warehouse. Data quality & governance – Ensure data quality, integrity, and lineage, and support compliance with data-privacy requirements such as GDPR. Enabling analytics & AI – Partner with analysts, data scientists, and product to deliver clean, well-structured datasets that power dashboards, experimentation, the recommendation engine, and customer experiences. Technical leadership – Set standards for data engineering, mentor others, and contribute to the architecture of our data platform. AI-Driven Efficiency – Utilize and advocate for AI tools (e.g., ChatGPT, Claude) to accelerate data development, documentation, and quality assurance. Collaboration – Work closely with analytics, backend, and product teams to deliver data capabilities end to end. Required Experience and Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Several years of professional data engineering experience. Strong hands-on experience with Snowflake. Strong proficiency with dbt and SQL. Experience building and orchestrating ELT/ETL pipelines. Solid understanding of data modeling and data warehousing best practices. Programming skills (e.g., Python) for data tooling and automation. Familiarity with cloud infrastructure (AWS) and BI tools is a plus. Experience in fintech, loyalty, or other data-privacy-sensitive domains is an advantage. Proven ability to leverage AI tools to improve data engineering efficiency. Personal Attributes Strong sense of ownership, with a focus on data quality, reliability, and scalability. Collaborative and clear communicator who bridges technical and analytical teams. Curious and tech-savvy, with a passion for well-engineered data systems. Improvement-minded, always seeking to refine pipelines, models, and ways of working. Comfortable in a fast-paced, iterative environment with evolving priorities.

Responsibilities

Design, build, and operate a scalable data platform on Snowflake to power analytics and customer experiences. Develop robust data models and ingestion pipelines while setting engineering standards and mentoring the team.