Data Engineer – Safety-Critical Systems IRC302655

GlobalLogic; Göteborgs kommun; On-site; SEK 600,000 - 900,000; Full time

Benefits offered by this job

Career development

Relocation options

Flexible work options

Diversity & inclusion

Job summary

GlobalLogic is seeking a Data Engineer to design and maintain data pipelines for safety-critical automotive systems in Göteborg, Sweden. You will implement data governance practices and collaborate with safety and systems teams to ensure data lineage and reproducibility.

The role requires 3+ years in data engineering, strong Python skills, and experience with GitHub CI/CD. Familiarity with ISO 26262 and automotive data formats is a strong plus, with opportunities for growth and professional

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field.
• 3+ years of data engineering experience in safety-critical or highly regulated environments.
• Familiarity with ISO 26262 or equivalent functional safety concepts related to data handling and traceability.
• Strong Python skills and hands-on GitHub experience (branching, PR review, CI pipelines).
• Experience with data validation, lineage tracking, and reproducibility practices.
• Familiarity with automotive test/validation data formats is a strong plus.

Responsibilities

• Design and maintain data pipelines meeting traceability, auditability, and integrity requirements for safety-critical automotive systems.
• Implement data governance practices aligned with functional safety processes (data lineage, version control, change tracking, validation gates).
• Manage structured and unstructured data supporting safety case documentation.
• Build and maintain Python-based data engineering tools with GitHub for source control, code review, and CI/CD workflows.
• Collaborate with functional safety, systems engineering, and test teams to support ISO 26262/safety validation workflows.
• Ensure data used in safety-relevant analyses is complete, versioned, and reproducible.
• Support audits and reviews requiring demonstrable data handling compliance.

Skills

Python

GitHub

Data governance

Data validation

Traceability

Functional safety

Education

Bachelor's or Master's in CS/Software Eng.

Tools

GitHub

SQL

ETL tools

Job description

Description

We are seeking a Data Engineer with strong knowledge of data handling processes for safety-critical systems. This role focuses on building and maintaining robust, traceable, and compliant data infrastructure that supports the development and validation of safety-relevant vehicle functions. The candidate must understand the rigor required when data quality, traceability, and integrity directly affect functional safety outcomes (e.g., ISO 26262 context).

Description

We are seeking a Data Engineer with strong knowledge of data handling processes for safety-critical systems. This role focuses on building and maintaining robust, traceable, and compliant data infrastructure that supports the development and validation of safety-relevant vehicle functions. The candidate must understand the rigor required when data quality, traceability, and integrity directly affect functional safety outcomes (e.g., ISO 26262 context).

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field.
• 3+ years of data engineering experience, with direct or adjacent exposure to safety-critical or highly regulated environments (automotive, aerospace, medical devices, industrial control systems).
• Working knowledge of functional safety concepts (ISO 26262 or equivalent standards) as they relate to data handling and traceability — deep functional safety engineering expertise not required, but familiarity with the “why” behind rigorous data practices is essential.
• Strong Python skills and hands‑on GitHub experience (branching, PR review, CI pipelines) — standard data engineering toolset at the client.
• Experience with data validation, lineage tracking, and reproducibility practices.
• Familiarity with automotive test/validation data formats and processes is a strong plus.

Personal Attributes (Critical for This Role)

• High drive and cross‑functional initiative — this role requires proactively engaging with multiple departments (functional safety, systems engineering, ADAS, test/validation) to understand data provenance and requirements, often without fully pre‑defined specifications.
• Meticulous, detail‑oriented mindset given the safety implications of data errors.
• Strong stakeholder communication skills; able to explain data engineering decisions to safety and systems engineers.
• Comfortable working within structured, process‑driven environments while still being able to problem‑solve independently.

Job responsibilities

• Design and maintain data pipelines that meet the traceability, auditability, and integrity requirements typical of safety-critical automotive systems.
• Implement data governance practices aligned with functional safety processes (e.g., data lineage, version control, change tracking, validation gates).
• Manage structured and unstructured data (test logs, requirement traces, verification/validation evidence) supporting safety case documentation.
• Build and maintain Python-based data engineering tools, using GitHub for source control, code review, and CI/CD workflows consistent with client‑standard practices.
• Partner closely with functional safety engineers, systems engineers, and test teams to ensure data pipelines support ISO 26262 / safety validation workflows.
• Ensure data used in safety-relevant analyses is complete, correctly versioned, and reproducible.
• Support audits and reviews requiring demonstrable data handling compliance.

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting‑edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well‑being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work‑life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward‑thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.