Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to join our innovative data team. The ideal candidate will have extensive experience in data extraction, transformation, and loading (ETL) processes, as well as a strong background in cloud data tools. You will be responsible for building and optimizing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Performance Excellence:

The ideal candidate will demonstrate high performance, consistently exceeding targets and expectations related to the data team. Contributions should lead to impactful projects, such as the Global Data Mart utilized across regions.

Subject Matter Expertise:

To deliver the company’s strategic objectives, the candidate must demonstrate significant expertise in the Financial Services domains, concentrated on a captive finance company like Volvo Financial Services. In-depth knowledge of local, regional, and global financial processes, and data related to our customers, dealers, and suppliers, including personal data is essential. Expertise in the Volvo Group’s infrastructure and security policies is crucial for success in this role, as this enables us to keep our data safe and ensure smooth daily operations. These qualifications will drive our company’s strategic objectives forward, helping us achieve our goal of becoming a fully data driven company

Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• Experience: 5+ years of experience in data engineering or a related field, with a strong focus on ETL processes and cloud data tools.
• Certifications required: Certified Azure Data Engineer, Databricks Certified Data Engineer

Technical skills:

• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with MS Cloud SQL Server, Azure Data Factory, and Azure Databricks, PySpark, Spark SQL, ADLS, SQL, PowerBI, SSIS, SSRS, Agile and Scrum
• Strong knowledge of SQL and experience with relational databases.
• Familiarity with big data technologies and data processing frameworks

Soft Skills:

• Excellent problem-solving skills, strong communication abilities, and a collaborative mindset.