Data Engineer

Let's introduce ourselves

“We drive Continuous Integration to accelerate development and increase quality.”

At Software factory we are building a community with highly skilled personnel. We are harmonizing the workflows and developing tools to be used across R&D, with the aim to
accelerate the software development at Volvo Cars. Our main objective is to secure a stable, robust, and secure electrical system for Volvo Cars new SW and Electronics platform. The responsibility area includes:

• Developing continuous integration (CI) architecture & infrastructure.
• Maintaining the complete software build and CI flow.
• Enabling high utilization of infrastructure, test objects and test artefacts.
• Creating automated tools & applications to secure an efficient flow.
• Supporting traceability to fulfill all legal requirements.
• Golden path (aligning the companies tools usage, education)
• SIL (virtualizing HW into SW, test system development, test case creation, education)

We are applying manufacturing principles and techniques to software development to
mimic benefits of traditional manufacturing and creating a software product line.

Now we are looking for an Experienced Data Engineer to join our journey!

What you'll do

As a Data Engineer, you'll be at the forefront of designing, constructing, installing, testing, and maintaining highly scalable data management systems and pipelines. Your expertise will be pivotal in optimizing data pipelines for peak performance and efficiency, encompassing every aspect from extraction to loading (ETL / ELT). Collaborating closely with data scientists, analysts, and stakeholders, you'll decipher data requirements and deliver innovative solutions. Your commitment to staying abreast of emerging technologies and best practices will drive continuous improvement, while your adeptness at integrating, consolidating, and cleansing data from diverse sources will ensure accuracy, completeness, and reliability. As a person we believe that you can take initiatives which will help the organization in their data-driven decisions.

As a data engineer and data steward at Volvo Cars, you will be responsible for:

• Designing, building, and maintaining scalable and reliable data pipelines and platforms that enable data-driven decision making and innovation across the organization.
• Developing and implementing data quality standards, policies, and processes to ensure the accuracy, completeness, timeliness, and consistency of the data assets.
• Collaborating with data scientists, analysts, and business stakeholders to understand their data needs and provide them with the best data solutions and services possible,
• Managing the data lifecycle, from acquisition to archiving, and ensuring compliance with data governance and security regulations and best practices.
• Identifying and resolving data issues and anomalies, and proactively improving the data quality and reliability.
• Evaluating and adopting new data technologies and tools to improve the data infrastructure and capabilities.
• Documenting and communicating the data architecture, design, and metadata to facilitate data discovery and reuse.

What you'll bring

•    MSc in Computer Science and Software Engineering or similar relevant experience.
•    Proficiency in Python programming language.
•    Strong understanding of SQL for data manipulation and querying.
•    Experience with data orchestrators like Dagster, Airflow etc.
•    Familiarity with database management systems like Snowflake, Azure Data Lake etc.
•    Expertise in data modelling and transformation using tools like dbt.
•    Ability to optimize data pipelines for performance and scalability.
•    Excellent problem-solving skills and attention to detail in data management processes.
•    Strong collaboration and communication skills to work effectively with data scientists, analysts, and stakeholders.
•    Proactive approach to staying updated with emerging technologies and best practices in data engineering.
•    Experience working with cloud platforms such as Azure.
•    Experience working with Kubernetes and Docker. 
•    Experience working in an agile environment with agile methodologies like Scrum, Kanban, SAFe, etc.
•    Structured way of working.
•    Positive attitude.
•    Self-driven, result oriented and flexible.
•    Team player with good communication skills.
•    Creative mindset.
 
Meritorious  
•    CI/CD Basic Knowledge and understanding.