Senior Data Engineer – Reporting & Analytics

Sperton Global AS

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profile Job Location:

Oslo - Norway

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

Location: Oslo / Stockholm

Work Model - Hybrid
Type: Full-time

About The Role

At Sperton we are looking for a Senior Data Engineer on behalf of our client Seamless Insure.

This is not a large-team specialist role. We need someone who can operate independently make sensible technical decisions clean up ambiguity and turn imperfect source data into reliable reporting outputs. You will work with product business architecture and engineering stakeholders but you should be comfortable owning the data engineering delivery end to end

In this role you will not just maintain existing pipelines but actively improve how data and reporting are built delivered and trusted across the business.

About Seamless Insure

Seamless Insure is a multi-tenant SaaS platform built for insurers MGAs brokers and distributors. The platform enables insurance businesses to manage core operations through configurable workflows integrations and unified reporting across a scalable environment.

With a growing focus on reporting and analytics Seamless insure is investing in building a robust reliable data foundation that supports both internal decision-making and client-facing insights.

What Youll Do

  • Design and build scalable data pipelines for reporting and analytics

  • Develop analytical data models for internal and client-facing reporting

  • Improve data quality consistency and reliability across datasets

  • Work across an AWS-based data stack (ingestion transformation reporting)

  • Partner with business and product teams to translate reporting needs into solutions

  • Identify root causes of data issues and fix them properly (not patchwork fixes)

  • Own delivery end-to-end: design build test and support

  • Contribute to improving standards practices and overall data maturity

What Were Looking For

  • 5 years of experience in Data Engineering (production environments)

  • Strong SQL and Python skills

  • Hands-on experience building data pipelines on AWS

  • Experience with reporting/analytics-focused data modeling

  • Ability to work independently with minimal supervision

  • Proven experience as an individual contributor owning delivery

  • Strong problem-solving mindset with a bias for action

  • Comfortable working with both technical and non-technical stakeholders

Nice to Have

  • Experience in insurance fintech or regulated industries

  • Familiarity with multi-tenant SaaS environments

  • Experience with incremental data processing or CDC

  • Exposure to reconciliation-heavy reporting

  • Experience with Amazon QuickSight or similar BI tools

  • Mentoring or contributing to team best practices

What Success Looks Like

  • Reporting data becomes trusted and reliable

  • New reporting needs are delivered faster

  • Pipelines are stable and easier to maintain

  • Data issues are identified early and resolved properly

  • Reporting becomes a strong product capability for clients

Why Join Seamless Insure

  • Work on real-world data challenges in a live SaaS platform

  • High ownership and autonomy in your role

  • Direct impact on business and customer decision-making

  • Opportunity to shape reporting and analytics capabilities from the ground up

About Sperton

Sperton is a global recruitment and consulting firm with offices across Europe Asia and the Americas. We help companies find and manage top talent across borders delivering fast compliant and flexible recruitment consultant hiring and global mobility services.

Location: Oslo / StockholmWork Model - Hybrid Type: Full-timeAbout The RoleAt Sperton we are looking for a Senior Data Engineer on behalf of our client Seamless Insure.This is not a large-team specialist role. We need someone who can operate independently make sensible technical decisions clean up a...
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