Special Projects Data Analytics Engineering Lead

Special Projects Data Analytics Engineering Lead

Arbetsbeskrivning

Special Projects Data Analytics Engineering Lead
Koenigsegg Automotive builds some of the fastest cars in the world, with almost all of our megacar technologies patented and made in-house. Within this brand, we have launched a stealth startup team to redefine the future of mobility. We are on a universe-denting mission, moving beyond exclusive low-volume models. We have already started developing some new tech and products, but we cannot say too much about that yet…
WHAT WE OFFER
Flexible work schedules + culture of collaboration
Rare opportunity to impact a new, growing company, backed by Koenigsegg’s long track record of success and profitability
Work alongside world-class talent in tech and automotive
Quick decision making, flat hierarchy
Engaging and friendly work environment, guided by leadership with a strong vision
Significant social and welfare benefits of Sweden

WHAT YOU’LL DO
We need more exceptional, impactful, and authentic leaders to build our prototypes and grow our organization. Our ambitions and deadlines push the limits of what is physically possible. This means that you will have to work efficiently and drive our cross-functional teams to execute at high quality levels. Our mission is clear: we are here to innovate and transform.
Explore and evaluate new technologies, solutions, and approaches to design and implement the future of our technology stack
Architect, develop, and implement data pipelines to optimize data retrieval from various sources and build data engineering assets to surface actionable business insights
Partner with software engineering, product management, and operations teams to proactively identify monitoring gaps and improve upstream data collection, advocating for widespread data-driven thinking
Build and lead a team of data analysts and engineers to provide the business visibility in to the success of our interactive solutions
Design and develop analytics solutions for various aspects of the business
Envision, build, deploy and manage the data infrastructure and pipelines used to provide our analytics solutions
Develop and manage project plans and be responsible for their execution

WHAT YOU NEED TO HAVE
Knowledge and skills to own and drive technology decisions around the development of foundational data engineering solutions
Strong sense of ownership, time management and integrity demonstrated through clear communication
You are a self-starter who is dedicated and demonstrates creative and critical thinking abilities
You have the ability to stay focused and can prioritize heavy workload while achieving exceptional quality in a dynamic, highly cross-functional and fast-paced environment
Extensive hands-on experience with all aspects of data management, including data modeling, data mining, data warehouses, ETL, and data visualization
Fluency in English
3+ years functioning in a lead and architect capacity in data engineering, analysis and infrastructure

WHO YOU’LL WORK WITH
We have all kinds of diverse people. Racing champions, rugby players, musicians, mountain climbers, skiers/boarders, gamers, and BBQ aficionados. We have family people, single people, happy people and the more skeptical kind of people. You will find new friends here, but please bring old friends as well!
Do you think you would be a great addition to our team? We would love to hear why.
HOW THE HIRING WORKS
1. Fill in an application, or we will find you. Find us on LinkedIn or other social media and add any demonstration of exceptional ability
2. We send you a link to our awesome software ROI, and you tell us more about yourself
3. We invite you to do a virtual interview, and possibly even come to our Ghost Squadron facility in Ängelholm, Sweden.

Sammanfattning

  • Arbetsplats: Koenigsegg Automotive AB ÄNGELHOLM
  • 1 plats
  • 6 månader eller längre
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 16 juli 2021
  • Ansök senast: 31 juli 2021

Postadress

Valhall Park/F 10
ÄNGELHOLM, 26274

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