The Role
Are you passionate about enabling teams to make data-driven decisions? We are seeking a Data Engineer to design & build robust data pipelines, manage our data lake, and support production environments. You will ensure fast, accurate, and reliable access to data, advocate for best practices, and empower business users across the organization.
About the Team
You’ll join a dynamic and diverse team focused on delivering data solutions that support PACCAR’s analytics and data science initiatives. Our projects span data pipelines, quality frameworks, integration services, and platform development.
Key Responsibilities
• Build and maintain automated data pipelines from diverse data sources.
• Develop and manage data quality workloads.
• Contribute to architecture, frameworks, and design patterns for high-volume data processing.
• Design solutions to measure, improve, and monitor data quality based on business needs.
• Ensure product health through scalable, automated, and sustainable solutions.
• Provide post-implementation support for data pipelines in production environments.
Required Experience & Skills
• Senior maturity (10 yrs of professional expericience
• 3+ years of experience in a data engineering role.
• 2+ years of experience with AWS services (e.g., EC2, S3, SNS, Lambda, IAM, Snowflake).
• Hands-on experience with ETL tools and frameworks such as Apache Airflow and Apache Beam.
• Proficiency in Python and libraries like Pandas and Flask.
• Experience with relational databases (e.g., MS SQL Server, Oracle, DB2, MySQL, Postgres, SAP HANA, Teradata).
• Experience with enterprise data modeling, semantic data modeling, or Master Data Management (MDM) is a strong plus.
• Familiarity with or experience in graph databases (e.g., Neo4j or AWS Neptune) is also a plus.
• If you don’t meet every requirement but are excited about the role and eager to grow into it, we encourage you to apply. We value potential and a willingness to learn.
Functie-eisen
Nice to Have
• Experience with API platforms, including GraphQL engines (e.g., Hasura) and API management tools such as Apigee.
• Familiarity with container orchestration platforms, including Kubernetes-based environments.
• Experience with streaming platforms such as Confluent Kafka and CDC tools like Debezium.
Education
• Bachelor’s degree in Computer Science, Informatics, or a related field (required).
• Master’s degree in Computer Science (preferred).
Soft Skills
We value the following soft skills in our Data Engineers:
• Communication: Ability to explain complex technical concepts to non-technical stakeholders.
• Collaboration & Teamwork: Proven ability to work effectively within diverse, cross-functional teams.
• Problem-Solving: Proactive in identifying issues and crafting innovative solutions.
• Adaptability: Comfortable with changing priorities and emerging technologies.
• Attention to Detail: Ensures data accuracy and quality through meticulous work.
Competenties
Impact & Goals
As a Data Engineer at PACCAR/DAF, your work will directly influence the efficiency and effectiveness of our data solutions. By building robust pipelines and ensuring data quality, you will:
• Enable informed decision-making across the organization.
• Drive innovation and support strategic business goals.
Uiteraard staat deze vacature open voor iedereen die zich hierin herkent.
contact
Gustavo Muller Adade
gustavo.muller.adade@randstaddigital.nl
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