We are looking for an experienced Senior Data Engineer to join Northvolt’s exceptionally competent and knowledgeable Data & AI Team with full focus on driving data excellence for Northvolt’s battery cell manufacturing operations. The role entails design, implementation, operations, and optimisation of cloud data infrastructure critical to quality, performance, and availability of Northvolt’s manufacturing equipment and commercial products. The team owns the manufacturing data delivery technology relied upon by all analytics, visualization, investigation, reporting, and Machine Learning capabilities.
Our cloud-native implementation at Northvolt Ett sets a global example in manufacturing. Our first gigafactory produces large amounts of heterogenous data that is uploaded to our cloud platform, where the data is processed, organized, and transformed for analysis and machine learning. You will be responsible for the data platform powering detailed product traceability, real-time monitoring of manufacturing line effectiveness, computer vision defect detection, and machine learning (ML) and artificial intelligence (AI) modeling to predict quality and performance of the produced battery cells. Check out our blueprint strategy for our factories at Northvolt’s next-gen connected factory—a digital blueprint factory built from scratch | Amazon Web Services
We presented our vision and progress at AWS re:Invent 2023 (Northvolt part starts at 11:46)
AWS re:Invent 2023 - Northvolt’s software-defined factories (MFG202)

• Design and develop scalable ELT processes to ingest, transform, and store large volumes of structured and unstructured data.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that meet scalability, reliability, and performance goals.
• Optimize data-intensive applications, data processing workflows and infrastructure for performance, efficiency, and cost-effectiveness, leveraging cloud-native technologies and distributed computing frameworks.
• Design and implement data models and schema designs that support business analytics, reporting, and machine learning applications.
• Implement data quality checks, monitoring, and logging mechanisms to ensure the integrity and reliability of data systems.
• Lead efforts to troubleshoot and resolve complex data-related issues, including performance bottlenecks, data discrepancies, and system failures.
• Stay up-to-date with industry trends and emerging technologies in data engineering, evaluating new tools and frameworks to improve data processing capabilities.
• Travel to meet with teams and stakeholders.
• This role will include paid on-call duty.
• Other duties may occur.
  Northvolt is an equal opportunity employer. We’re a diverse group of individuals, united by a common mission, who recognise that while our actions as individuals have a role to play in driving Northvolt towards its goals, we always seek to move forward as a team. We offer you an open and welcoming atmosphere where we win as a team – and fail as a team. Northvolt is growing at the speed of light and we are a strong believer in internal career development. For us it’s important to look at your skills and potential, please refrain form including your picture and age with your application to help us with this.
  Apply with CV in English or your complete LinkedIn profile.
  Full time employment, fixed salary.
  Planned starting date is asap.
  Please note that candidates considered for employment with NV may be subject to a mandatory background check process.
  Please note that any applications submitted via email or direct messaging will not be considered.
  Skills & Requirements

We believe that you have :

• Preferably 5 years of experience in a data engineering role
• Experience with AWS or other cloud computing platforms
• Proficiency in Python and SQL
• Linux/*NIX environments, version control, DevOps with CI/CD
• Data serialization, transfer protocols and file formats
• Very good understanding of SQL and NoSQL database technologies
• Design and implementation of data-intensive software for distributed systems
• Data Transformation and WMS (e.g. Spark/Flink/Beam/dbt, Airflow/Flyte/Luigi/Prefect)
• Data Modeling (e.g. (de)normalization for OLTP/OLAP)