We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact.

Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients.

Job Description In this role, the Data Engineer will be part of a team—primarily consisting of data engineers—focused on developing and maintaining the data product that enables smooth CI and software product development processes.

Key Responsibilities

Develop, maintain, and optimize the ConX engineering data product.

Build scalable and reliable data pipelines for ingestion, transformation, and storage of engineering and CI/CD data.

Implement canonical data models and metric definitions in collaboration with senior engineers and architects.

Contribute to the design and implementation of event-driven and batch data workflows.

Ensure data quality, accuracy, and observability in data processing pipelines.

Apply data governance policies, access controls, and security best practices.

Build self-service datasets and analytical layers that empower engineering teams and stakeholders.

Collaborate with CI/CD, platform, and product teams to understand data requirements and deliver high-quality solutions.

Monitor pipeline performance and reliability, troubleshoot issues, and continuously improve efficiency.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.

3–7 years of experience in data engineering or software engineering, with exposure to data-intensive systems.

Hands-on experience building data pipelines using Python, SQL, or similar languages.

Experience working with modern data platforms, data modeling, and building data transformation layers.

Experience working with CI/CD, observability, or engineering data sources (e.g., Jenkins, GitLab CI, Grafana, ELK, Git).

Solid understanding of distributed processing frameworks, data storage formats, and event-driven or streaming architectures.

Strong problem-solving skills and the ability to collaborate within cross-functional engineering teams.

Strong communication skills, with the ability to translate data requirements into technical solutions.

Meritorious Qualifications

Experience working with similar clients or large-scale automotive environments.

Knowledge of data security, privacy regulations, and compliance standards.

Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerized environments. Application

When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients.

Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

Role

Senior Data Engineer

Tags for this job

Data Engineering Cloud Computing Streaming Architecture Data Security Problem Solving Automotive

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