Lead Data Engineer

at  Konecranes

LEAD DATA ENGINEER

At Konecranes, we believe that great customer experience is built on the people behind the Konecranes name. Everything we do, we do with passion and drive. We believe diversity drives business success and is the foundation for our growth. We welcome different backgrounds and skills that enrich our community and we promote a place where we can ALL be ourselves. This is what makes Konecranes a unique place to work.
Within the IT organization of Konecranes, the Data to Knowledge unit is a cornerstone in empowering a data-driven transformation. This is achieved through advancements in analytics and data science, along with data governance, master data management, and data quality across the Konecranes business units.
We are looking for a data-enthusiastic Lead Data Engineer to join our IT Data to Knowledge organization. In this role you will be a part of the team which enables Konecranes data-driven business with the Data Platform, Reporting and Analytics capabilities.
The position is hybrid-remote and based in our headquarters in Hyvinkää, Finland.

As a Lead Data Engineer your primary responsibility is to design and implement technical proof of concepts and prototypes related to data discovery, combining and processing of data, using a suite of data engineering and analytics toolsets. You will independently manage complex data exploration requirements by designing innovative solutions in an agile and collaborative manner. As a Lead, you lead other Data Engineers as technical lead: you plan, assign and coordinate work, and make sure that as a team the development work is done with quality and on-time, and the solutions are well-performing on the technical level.
In the big picture, you actively contribute to implementing the IT and Technology strategies and Data Driven Company by working closely with Senior Solution Architect to develop the data platform with your hands-on contribution to technology research and prototyping.
As part of the data engineering team, you will work closely with architects, solution designers, data engineers, data specialists and data scientists on a variety of data and analytics projects. Your solutions will range from technology prototypes/demos, reusable data sets, and optimized queries to fully automated data processing applications and APIs.