Data Engineer - Automotive

WeQuelStockholmJob.boδημοσιεύθηκε 01/07/2026
Απαραίτητα:PythonAWSCloudBackendDevOpsDataAI

WeQuel is looking for a Data Engineer

We are currently seeking experienced Data Engineers for assignments within the automotive industry. You will be part of a global, agile team with a strong focus on data quality, platform development, and automation – working in an environment where your technical contributions have a direct impact on business-critical systems and decisions.

You are someone who takes ownership of your deliveries, thrives in cross-functional collaboration, and brings both technical depth and the ability to communicate your work clearly to non-technical stakeholders.

We are looking for candidates with experience in one or more of the following:

  • 5+ years of experience in data engineering, backend engineering, or platform engineering
  • Designing and maintaining data pipelines with a focus on reliability, auditability, and scalability
  • Data modelling and management of relational data structures across multiple systems and markets
  • SQL and Python as core working tools
  • Integration with external data sources and APIs, including cloud environments such as AWS or Snowflake
  • Working in agile, cross-functional teams with a high degree of autonomy
  • Communicating technical solutions and data architecture to stakeholders across the organization

Meritorious:

  • Experience from the automotive or manufacturing industry
  • Interest in or hands-on experience with AI, LLM-based solutions, or automation tooling
  • Experience building prototypes or internal tools that improve team productivity
  • Familiarity with ERP or DMS data sources and integration patterns

Location: Södertälje Language requirements: Fluent English required, Swedish is a merit

What We Offer

At WeQuel, you will become part of a consulting team that puts people first. We believe that success is built through engagement, collaboration, and continuous development. We offer a flat organization with short decision-making processes, a strong sense of community, and the opportunity to actively shape your own professional growth.