Description
What's the role?
As a Senior Data Engineer, you will be responsible for analyzing & profiling data for designing scalable solutions. You will help the team troubleshoot complex data issues & perform root cause analysis to proactively resolve product & operational issues. Leading a team of data engineers, you will be responsible for implementing data models & data structures needed for each use case as defined by Data Architects, in the most convenient format to be used by Data Scientists.
Who is Hilti?
If you’re new to the industry, you might not have heard of us. We provide leading-edge tools, technologies, software and services for the global construction sector. We have a proud heritage, built over 75 years, and a worldwide reputation for pioneering products and exceptional service. With 30,000 people in more than 120 countries we operate with a unique direct sales model and generate around 250,000 customer interactions every day.
What does the role involve?
Provide technical support related to data structures, data models and meta data management to Data Architects and other relevant stakeholders. Participate in early data modeling and testing for use case development, provide input on how to improve proposed solutions and implement necessary changes. Work closely with IT teams on internal data acquisition (e.g., CRM, ERP, Website) and with Data Architects for external data acquisition.
Hilti is heavily investing in France: Our French office will be moving to Boulogne in 2019 and hosting our global Digital Marketing team.
What do we offer?
To further accelerate in digital marketing, we are building our Global Digital Hub in Paris. You will experience the agile mentality of a start-up, combining the stability of a sound business model and the working environment of an award-winning culture. You can make an impact from day one in an international and diverse team by shaping the future of digital at Hilti and revolutionize customer interactions.
Why should you apply?
You will be part of the data engineer team. Implement complex automated workflows and routines using workflow scheduling tools. Build continuous integration, test-driven development and production deployment frameworks. Drive collaborative reviews of design, code, test plans and dataset implementation performed by data engineers in support of maintaining data engineering standards. Resolve roadblocks and give guidance to team members. Enjoy high freedom to act. Open excellent international and cross-functional career prospects in a dynamic environment.
What you need is:
- Master’s degree in Computer Science or Information systems with 5+ years’ experience with advanced data management platform (e.g., Hadoop, AWS Redshift, Google cloud platform)
- Understanding of traditional DB platforms like Business Warehouse, SQL, DB2 etc.
- Deep expertise in data modeling and structuring, experience in high volume data environments
- Ability to quickly learn new technologies
- Fluency in English