Data Solutions Engineer: ETL & Data Pipelines

Autocom Diagnostic Partner AB; Trollhättans kommun; On-site; SEK 550,000 - 780,000; Full time

Job summary

Autocom Diagnostic Partner AB is seeking a Data Solutions Engineer to design and maintain scalable data pipelines for our diagnostic products. You will work across ingestion, transformation, validation, and delivery, ensuring high data quality and automation.

The role combines hands-on development with problem-solving, collaborating with software and data teams across the organization. A relevant degree is advantageous, but hands-on experience will be highly valued.

Qualifications

• Solid experience in programming and software development, e.g. Python.
• Experience with data management, data transformation and/or data pipelines.
• Experience with structured data such as XML, JSON and APIs.
• Ability to independently drive technical solutions and take ownership of your work.
• Good Swedish and English skills, both spoken and written.
• A relevant university degree is an advantage, but practical experience matters most.

Responsibilities

• Design scalable ETL/ELT pipelines across the data flow.
• Handle data ingestion, transformation, validation and delivery.
• Ensure data quality through automated testing and monitoring.
• Identify and resolve data errors, anomalies and pipeline issues.
• Automate manual and repetitive data management processes.
• Contribute to data modelling and cloud-based data solutions.
• Translate requirements and vehicle protocols into datasets with software and data teams.

Skills

Python

Data pipelines

Software development

Data management

XML/JSON/APIs

Sweden Swedish/English

Education

University degree

Job description

Autocom Diagnostic Partner AB is seeking a Data Solutions Engineer to design and maintain scalable data pipelines for our diagnostic products. You will work across ingestion, transformation, validation, and delivery, ensuring high data quality and automation.

The role combines hands-on development with problem-solving, collaborating with software and data teams across the organization. A relevant degree is advantageous, but hands-on experience will be highly valued.