Data Engineer: Cloud & SaaS Integrations (Remote)

Doit; Stockholms kommun; On-site; SEK 700,000 - 1,100,000; Full time

Benefits offered by this job

Unlimited Vacation

Flexible Working Options

Health Insurance

Employee Stock Option Plan

Professional Development Stipend

Job summary

DoiT is a global technology company delivering cloud intelligence and helping customers optimize multi-cloud spend. We are hiring a Data Engineer to own the data side of our platform, expanding visibility across vendors and ensuring data quality for financial decision-making.

You will work AI-augmented from day one and collaborate with product and engineering teams worldwide. Join a remote-friendly team that values innovation, ownership, and scalable solutions in a fast-growing cloud-focused

Qualifications

• 3+ years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines that other people depend on
• Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries
• Hands-on experience building and operating data pipelines with an orchestration framework.
• Dagster or Airflow is highly desired; equivalent experience with Prefect, dbt or a comparable tool is relevant
• Strong Python, or another language you use fluently for data work
• Experience with a cloud data warehouse or analytical store (BigQuery, Snowflake, Redshift or similar)
• Experience integrating third‑party REST APIs, including handling pagination, rate limits, partial failures
• A real instinct for data correctness and building assertions
• AI-augmented working style - you already use AI tools across your engineering workflow
• Experience developing solutions in the cloud and/or using cloud services
• Excellent communication skills in English
• Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious

Responsibilities

• Expanding vendor coverage by building new integrations against third-party billing and usage APIs
• Working AI-augmented across the full span of your work
• Data correctness and completeness through checks and reconciliation
• Normalization across vendors to standardize units, currencies, taxonomies
• Pipeline ownership including orchestration, scheduling, and backfills
• Collaborating with product, support, and engineers to identify gaps and propose work

Skills

SQL

Python

Dagster or Airflow

REST APIs

Cloud data warehouse

AI-augmented workflow

BigQuery

English communication

Data pipelines

Cloud services

Tools

Dagster

Airflow

dbt

Prefect

Job description

DoiT is a global technology company delivering cloud intelligence and helping customers optimize multi-cloud spend. We are hiring a Data Engineer to own the data side of our platform, expanding visibility across vendors and ensuring data quality for financial decision-making.

You will work AI-augmented from day one and collaborate with product and engineering teams worldwide. Join a remote-friendly team that values innovation, ownership, and scalable solutions in a fast-growing cloud-focused