- Be responsible to create databases optimized for performance, implementing schema changes and maintaining data architecture standards across the centrally provision business databases.
- Be responsible to perform thorough testing and validation in order to support the accuracy of data transformations.
- Lead innovation through exploration, benchmarking, making recommendations and implementing big data technologies.
- As a senior team member, you will also be coaching junior members of the team. Working together as a team, you will ensure the delivery of sustainable solutions that support the organization's long-term goals while delivery maximum incremental short-term gains.
- Fitness and health benefits
- Flexible working arrangements
- Mobile working
- Sabbatical
- DB JobTicket
- Subsidised Company Bike
- Subsidised monthly and annual public transport subscriptions
- Asset creating benefit
- Company pension scheme (employer-financed)
- Subsidy for childcare
- Two impactful days to make a difference in the environment and society Further benefits:
- Support in relocating and finding a flat
- Tax advice The mission of the Hilti Group is "Making Construction Better," based on a passionate and inclusive team, as well as an employee and performance-oriented corporate culture. Integrity, courage, teamwork, and commitment are essential for Hilti - both today and tomorrow. We are proud to say that we not only talk about our values but also live them every day.
- Bachelor's or Masters Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication), Science & Technology, or related fields
- Minimum of 6 years of hands-on experience in leveraging AWS and/or other data analytics platforms, with a proven track record of delivering sophisticated solutions
- Demonstrate proficiency in SQL and Python programming
- Exhibit strong analytical prowess
- Lead the design, construction, and maintenance of ETL pipelines and the data warehouse infrastructure for the organization
- Display expertise in data modeling and optimization of query performance across platforms such as SQL, Redshift, AuroraDB, or equivalent
- Facilitate seamless integration of SAP and/or Salesforce data, leveraging data visualization tools such as Microsoft Power BI
- Possess a keen problem-solving acumen, self-driven, and proactive
- Demonstrate adeptness in managing multiple tasks under stringent timelines
- Collaborative team player, adept at fostering synergy within diverse teams
- Exhibit exceptional communication skills in English
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Data Engineer - Kaufering, Deutschland - Hilti Group
Beschreibung
What's the role?
Hilti is investing massively into growing its software business and digitizing its customers' processes. The Hilti IoT Data Platform provides key capabilities encompassing the collection, processing, and analysis of tool data to enable business use cases supporting our growth ambition. As a Data Engineer within the IoT & Analytics team, your primary responsibility will involve the development, deployment, and maintenance of data pipelines essential for supporting advanced analytics and business intelligence requirements within Hilti's Customer-facing software solutions. You will collaborate closely with key stakeholders across the business and various IT teams to seamlessly integrate and transform necessary data into the Data Platform.
Who is Hilti?
Hilti is the place where innovation is harnessed to improve productivity, safety, and sustainability in the global construction industry and beyond. It's where solutions are born based on strong customer relationships, making it possible to build a better future. It's where 34,000 people across 120 different locations worldwide take pride in being part of the team. It's where people have the opportunity to explore their possibilities, unleash their potential, take responsibility for their personal development, and build their careers for the long term. In our IoT department we develop innovative Embedded Software Solutions, Mobile Apps and Measurement Technologies - through our technologies in application software we take our customers to the next level of the technological progress.
What does the role involve?
In your role as Data Engineer, you will interact directly with various stakeholders (business team, data scientists, analytics teams) to understand the data demand in line with the customer use case and in turn, design and develop scalable ETL packages from the business source systems, including development of ETL routines, to bring these data into the data platforms.
The role will require you to:
Diversity, equal opportunities, and inclusion: in our team of over 34,000 employees worldwide, there are 135 different nationalities and a 25% representation of women in our global leadership team.
What do we offer?
We offer you a unique place to work, in which you are part of a creative and interdisciplinary team. We will give you a lot of responsibility to develop yourself and we ́ll support you in shaping your individual career path.
In addition, we offer you innovative and personalized Benefits, such as
What you need is:
Why should you apply?
If you are passionate about Data Engineering and want to grow while creating positive impact on building a sustainable future, you want to apply for this job.
