Data Engineer

Location:
Budapest - Budapest, Hungary
Job Family:
Artificial Intelligence & Machine Learning
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
Career Level:
T3
Job ID:
R-54306-2026

Description & Requirements

A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role

As a Data Engineer, you will serve as the critical link between global business automotive operations and scalable data platform execution. Your primary focus will be translating complex operational needs into robust, reusable data pipelines that power analytics, BI, and AI use cases.

What You Will Do

You will act as a full-stack data engineer, working across the lifecycle of data—ingestion, transformation, modeling, and delivery. Unlike role-specific analytics development, your solutions will serve multiple downstream consumers, requiring a strong focus on scalability, reliability, and reusability.

This role requires a hybrid mindset: deep understanding of business processes in Manufacturing, Procurement, and SCM, combined with strong engineering discipline to build high-performance, production-grade data pipelines.

1. Business Analysis & Requirements Translation

• Stakeholder Partnership:
• Work with business users, analysts, and developers to understand data requirements across multiple use cases.
• Technical Translation:
• Translate business needs into scalable data models, pipeline logic, and data integration requirements.
• Process Alignment:
• Develop a deep understanding of operational workflows to ensure that data pipelines accurately represent business processes and can support diverse analytical needs.

2. Data Pipeline Design & Development

• Pipeline Design:
• Design and implement scalable data pipelines for ingestion, transformation, and delivery of data across multiple domains.
• Reusability & Scalability:
• Build pipelines that serve multiple consumers (BI, AI, data products), ensuring flexibility and extensibility.
• Performance Optimization:
• Optimize data processing for large-scale datasets, ensuring efficient and reliable execution.

3. Data Engineering & Modeling

• SQL & Data Transformation:
• Write efficient SQL queries, transformations, and data processing logic to structure data for downstream consumption.
• Data Modeling:
• Design and maintain data models aligned with enterprise standards (e.g., layered/medallion architecture).
• Data Product Enablement:
• Develop and contribute to shared, governed data products that act as single sources of truth across the organization.
• Data Quality:
• Implement validation, testing, and monitoring to ensure data accuracy, consistency, and reliability at scale.

4. Deployment & Lifecycle Management

• Promotion & Release:
• Manage deployment of pipelines and data solutions across Dev QA Production environments, ensuring stability and reliability.
• Source Control:
• Use Git to manage pipeline code, configurations, and versioning following team standards.
• Monitoring & Maintenance:
• Monitor pipeline performance, troubleshoot failures, and continuously improve reliability and efficiency.

5. Collaboration & Standards

• Team Alignment:
• Work closely with the System Architect to ensure pipelines align with architectural patterns, scalability requirements, and security standards.
• Cross-Functional Collaboration:
• Enable downstream teams (BI, AI, analytics) by delivering high-quality, well-structured data.
• Peer Review:
• Participate in code reviews to ensure consistency, maintainability, and adherence to best practices.

6. AI-Assisted Development & Automation

• AI-Assisted Coding:
• Use AI tools to accelerate development of data pipelines, transformations, and documentation.
• Automation:
• Automate repetitive data engineering tasks such as data validation, transformation generation, and pipeline monitoring.
• Continuous Upskilling:
• Develop expertise in modern data engineering practices, including distributed processing and AI-enabled workflows.

What Success Looks Like

• Data pipelines are robust, scalable, and reusable across multiple use cases
• Data products provide consistent, trusted, and governed data
• Systems handle large volumes of data efficiently and reliably
• Downstream teams (BI, AI) can build faster using high-quality data foundations
• Data issues are proactively identified and resolved

What You Need to Be Successful

• Strong SQL and data transformation skills
• Experience with data pipelines and ETL/ELT frameworks
• Understanding of data modeling and layered architectures (e.g., Medallion)
• Experience with large-scale data processing (e.g., Spark, Databricks) is a plus
• Familiarity with cloud platforms (AWS, Azure) is a plus
• Experience with Git and modern development practices
• Strong problem-solving and performance optimization skills
• Understanding of APIs and data integration patterns
• Working knowledge of Python for data processing, automation, and pipeline development

Bonus Points if You Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Experience working with cloud platforms such as Azure or AWS
• Experience building data pipelines using Python
• Familiarity with Delta Lake, Medallion Architecture, or modern Lakehouse concepts
• Experience working with manufacturing, supply chain, procurement, or operational data
• Exposure to BI and analytics tools such as Power BI, Qlik, Tableau, or similar platforms
• Familiarity with REST APIs, JSON, and integrating external data sources
• Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar coding assistants
• Understanding of data quality, validation, and testing concepts
• Experience with Agile development methodologies and collaborative software development practices
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field

What we offer

• Work in international teams with the world’s largest automotive manufacturers.
• Use HARMAN Flex – choose the right working model fitting their job (Hybrid or Office)
• Access career development opportunities and get both on the job training on high-end automotive projects, as well as extensive technical trainings.
• Access HARMAN Webshop with large employee discounts for audio products (JBL, HARMAN Kardon, AKG)
• Are encouraged to a healthy work/life balance with a progressive holiday plan based on total work experience, 2 sick days, 3 days off compensation for weekend legal holidays and flextime.
• And of course, enjoy meal tickets, a premium medical subscription, fitness discounts and other corporate perks.

#LI-IG1

Pay Transparency
Ft 9,270,000 - Ft 13,596,000
The above represents the annual gross base salary range for this role. Variable compensation and allowances: Dependent on the position offered, other forms of compensation may also be available, such as quarterly or annual bonus pay, commission payments, long term incentive compensation, or certain allowances. Further details will be made available as part of the recruitment process. How we set pay: The pay posted is a reasonable estimate of the wage range anticipated for this position. Pay is determined using objective, job-related criteria such as relevant experience, skills, role scope/responsibilities, and location-based market factors (where applicable). In appropriate circumstances, based on objective, job-related factors, the final determination on pay may deviate from the posted range. Pay history: Please do not include current or past pay information in your application. We do not request pay history as part of our recruitment process. Benefits: HARMAN is interested in supporting the health and wellbeing of employees and offers a range of benefits. Offerings vary by country and employment arrangement and reflect a combination of statutory requirements and company-provided programs. These may include paid time off and holidays, sick and family leave, as well as health and wellbeing support and retirement or savings plans where applicable, along with other locally relevant benefits. Further details will be made available as part of the recruitment process.

About HARMAN: Where Innovation Unleashes Next-Level Technology
Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

Important Notice: Recruitment Scams
Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com', ‘@careers.harman.com’ or ‘@harmanglobal.avature.net’ email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. You Belong Here
HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at harmancareers@harman.com. Requests will be considered on a case-by-case basis in accordance with applicable law.