Data Engineer

Job description

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. 

 

Driven spearhead Data Engineer with passion for creating value from data

What you will do

 

The supply chain business is changing, we are looking for an experienced Data Engineer who will be an important part of our digitalization journey where automating supply chain business processes are transforming business and IT, into common value streams.

 

This is not the type of data engineering role where you are only part of setting up the data platform and someone else creates the value from the data, neither is it the type of data engineering where the end result is a BI report for someone else to draw conclusions from. Instead, you will be an important part of truly digitalizing the supply chain business - building digital products for automating decisions in the business process together with data scientists, ML engineers, software engineers and supply chain experts.

 

As our spearhead Data Engineer, you will of course also do traditional data engineering work such as developing and optimizing data pipelines and storage, data modelling and determine feasibility of data architectures. However, you will do it in the business organization responsible for both development and the business outcomes from what’s being developed - you will be able to see the fruit of your labor and be part of the full life cycle of data driven business solutions – from early exploration phases to development, production and business outcomes.

Who are you?

To succeed in this context we think that you as a person are not someone who waits around to receive a task – instead you connect to people, identify what needs to be done, drive, and make sure things gets done by communicating effectively. As a master of your craft, you care about the quality and development methods and take pride in seeing the data engineering professionalism among more junior developers rise from your guidance. You feel for the communities you are in and like to be part of a learning organization.

 

You carry a lot of passion in unleashing the value of data by developing, deploying and maintaining robust and scalable data pipelines. The data can vary from small to big volumes, using different methods such as batch, streaming, distributed, APIs etc., and to cope with an increasing volume of both data and pipelines you share and stimulate a DataOps culture in the community. You understand how data needs to be transferred, combined, transformed and used to create continuous business value.

What you will bring

We think that you have extensive experience in SQL and NoSQL , Spark, Python, Databricks and Delta lake. And to feel at home in our architecture you also have deep knowledge in Azure services such as Data Factory, Service bus, and Event hub as well as Azure DevOps and various database types on Azure.

 

This role will work closely with other advanced analytics roles and many of the digital products are machine learning based, so an interest in AI/Machine Learning, MLOps and feature engineering is needed. 

 

You like being part of different constellations such as ad hoc exploration teams, stable DevOps teams and networks of peers, and as self-propelled you can navigate different modes of development. Having one foot in exploratory development and one in continuous development and maintenance, you have the opportunity to unleash your creativity but also act on your sense of quality and structure.

Ready for the next move?

Are you excited to bring your skills and disruptive ideas to the table? We can’t wait to hear from you! Interviews will be conducted continuously, so if you feel you are the right person, please send in your application today. The position is placed in Gothenburg.

 

Mattias Jonhede, Manager Advanced Analytics Engineering, Service Market Logistics, Volvo Group. Connect with me on LinkedIn.

 

Last application date: 2024-11-17

We value your data privacy and therefore do not accept applications via mail. 

 

Who we are and what we believe in 
Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.

 

Applying to this job offers you the opportunity to join Volvo Group . Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. 

 

Group Trucks Operations encompasses all production of the Group’s manufacturing of Volvo, Renault and Mack trucks, as well as engines and transmissions. We also orchestrate the spare parts distribution for Volvo Group’s customers globally and design, operate and optimize logistics and supply chains for all brands. We count 30,000 employees at 30 plants and 50 distribution centers across the globe. Our global footprint offers an opportunity for an international career in a state-of-the-art industrial environment, where continuous improvement is the foundation. As our planet is facing great challenges, we - one of the largest industrial organizations in the world - stand at the forefront of innovation. We are ready to rise to the challenge. Would you like to join us?

Job Category:  Advanced Analytics

Organization:  Group Trucks Operations

Travel Required:  Occasional Travel

Requisition ID:  15117