Chapter Lead Data Engineer @ Volvo Group

1 month ago

Wrocław, Czech Republic Volvo Group Full time

We believe you want to take your career to the next level, working with amazing people around the world. To be successful in this position, we believe you have a university degree or equivalent, and several years of experience as a data engineering practitioner, as well as experience in leadership in line organizations or projects. To succeed in this role, it is beneficial if you are experienced and understand technologies for the field like databases, data lakes, and data pipelines. You have knowledge in leading technologies and frameworks such as Spark/Databricks, CD/CI, DataOps, MLOps, as well as more traditional ETL approaches and tools. You are experienced in the data engineering domain development as a practitioner that keeps up to date with the latest developments. It is beneficial if you have practiced and applied Machine Learning and AI Engineering from development to production-ready solutions.

The right candidate will be able to think and act strategically but also operate and implement change tactically when required, dealing effectively with ambiguity, and managing changing priorities. You should be passionate about driving strategic and technological transformation in a business-focused, fact-based, and collaborative way to achieve real impact. This role requires solid communication skills and a passion for leading, inspiring, and developing people.

In addition to this, you are a passionate believer in continuous learning. You should feel energized by working both independently and interdependently, have proven skills in cross-functional collaboration, and thrive in managing, fostering, and enabling both the perform and the transform angles of the job.

As a Chapter Lead, you will be the line manager for our data engineers in Poland and will directly coach and develop them. You will be involved in hands-on work focusing on data analytics initiatives, from data onboarding to operationalization of advanced analytics and AI to realization, with best practice tools and methods. You will be a part of the Data Engineers Chapter management team and report to the Head of Chapter Data Engineers. Your responsibilities will include:

  • Building and developing skills, including attracting and developing talents.
  • Building the Data Engineering community and enabling knowledge sharing across domains.
  • Working as a practitioner in your area of expertise.
  • Developing the working methods for Data Engineering.
  • Securing external input and best practice sharing in the community.
  • Managing capacity planning and new requests for Data Engineers.

In the Volvo Group, we have defined leadership as a set of observable behaviors that leaders exercise to achieve alignment towards our vision 2030, to better execute our strategy, and for the Group to continuously renew itself in order to “Perform and Transform”. To reach our vision and deliver on our strong commitments, we need to pair “the will” with “the skill”. That is why our leadership principles are behavior-based. The principles Lead with Passion, Perform with Purpose, and Transform with Vision are our values in action, and they will strengthen our culture.

In your role as Line Manager, we expect you to develop your area of responsibility by having the ability to define the right priorities based on a customer-centric mindset. We encourage the ability to drive business forward and act upon opportunities and ideas and transform them into value (financial, cultural, or social) for others. We create an environment where continuous improvements and learning maximize the outcome of our work.

To achieve our goals, we collaborate within and across teams. We create a sense of unity and trust by nurturing open dialogues and collective work. We build a work environment where diversity in expertise, opinion, and culture is valued.

,[] Requirements: Spark, Data engineering, Data Lake, Data pipelines, Databricks, MLOps, ETL, Machine learning, Communication skills, CI/CD Pipelines, Data warehouse Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, Modern office, No dress code.

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