Working Student - Solutions Engineering

As a Working Student in Solutions Engineering at dlt, your main responsibilities include creating engaging demos to showcase our capabilities to prospective customers. You'll also support sales by reaching out to potential clients and addressing their queries, assist in proof-of-concept implementations, and troubleshoot any technical issues that arise. You'll collaborate closely with customers to help them effectively implement dlt and dlt+, conduct training sessions on best practices, and collect valuable feedback for our product team to enhance our offerings.

To thrive as a Working Student in Solutions Engineering at dlt, you should have previous experience in a similar role that required self-direction and independence. Proficiency in Python is essential, along with strong communication skills to connect with both technical and non-technical audiences. Being a quick learner and demonstrating initiative are key characteristics that will help you succeed in this fast-paced startup environment. Experience with CRM tools like HubSpot and data engineering is a plus!

In the Working Student - Solutions Engineering role at dlt, customer engagement is a pivotal aspect of your job. You'll assist customers throughout their journey, from making initial contact and addressing their technical challenges to guiding them through the implementation of dlt and dlt+. Your role will also include gathering feedback from users and collaborating with our product team to ensure we continuously meet customer needs and improve our services.

As part of the dlt team, you’ll enjoy a range of benefits that prioritize your growth and well-being. We offer an annual budget for learning and development, regular subsidized team lunches, and an Urban Sports Club membership. You'll also benefit from our office-first approach, which creates a focused work environment with dedicated 'no meeting days.' Furthermore, we support your commute by covering public transportation tickets for ease of access to our Berlin office.

At dlt, our work culture values autonomy and efficiency. We foster an environment where team members are encouraged to automate their work processes before assisting others in doing the same. Expect a blend of structured and flexible working hours that allow for both deep focus and collaborative engagement. We aim to create a supportive atmosphere that nurtures personal and professional growth, making dlt an exciting place to start your career.

To create an effective demo for dlt’s solutions, I would start by understanding the specific needs of the audience and the data challenges they face. I’d focus on showcasing key features of dlt and dlt+, emphasizing their unique capabilities. A live demonstration would be invaluable, highlighting ease of use and real-time data transformation. Additionally, I'd prepare for potential questions and concerns, ensuring the demo addresses their specific use cases and illustrates the advantages of adopting our solutions.

If a customer encounters a technical issue, the first step would be to actively listen and understand the nature of the problem. I would guide them through troubleshooting steps, using my knowledge of dlt and dlt+ to identify the issue. If needed, I’d collaborate with the internal team to find a resolution quickly. My goal would be to ensure the customer feels supported and confident in using our solutions moving forward.

I have solid experience in Python programming, having utilized it for data analysis and automation projects. I am comfortable with writing scripts and libraries to manage and analyze datasets, which aligns well with dlt's focus on data handling. I continuously keep myself updated with Python best practices and libraries, further enhancing my ability to leverage its features in practical applications within the data ecosystem.

In a fast-paced environment, I prioritize tasks by assessing urgency and impact. I use to-do lists and digital project management tools to stay organized. I break down larger projects into manageable tasks and set deadlines for each. Regular communication with team members keeps everyone aligned and allows for adjustments as priorities shift, ensuring that I focus on tasks that support customer needs and overall team objectives.

In a previous internship, I often had to communicate technical concepts to non-technical stakeholders. I focused on using clear, jargon-free language and analogies that related to their experience. For example, when discussing data flows, I compared it to traffic management systems. This approach helped the audience grasp the concepts better and facilitated meaningful discussions about their requirements and any challenges they faced.

I am fascinated by the data ecosystem because it holds the potential to drive insights and innovation across various industries. The challenge of transforming raw data into actionable intelligence motivates me. I enjoy exploring the latest technologies in data engineering, machine learning, and automation, and I believe that being part of a team at dlt, which is at the forefront of this transformation, is an incredibly exciting opportunity.

To gather customer feedback effectively, I'd employ surveys, direct queries during training sessions, and informal check-ins. It's essential to foster an open line of communication where customers feel comfortable sharing their experiences. Once collected, analyzing the feedback allows me to identify recurring themes and prioritize any necessary changes alongside the product team, ensuring our solutions evolve to better meet customer needs.

Automation is critical in data engineering because it enhances efficiency, reduces human error, and allows teams to focus on more strategic tasks. By automating repetitive processes, such as data validation or ETL tasks, organizations can save time and resources. Furthermore, automation ensures consistent data handling, which leads to improved data quality and reliability—elements that are essential for making informed business decisions.

I believe in a proactive approach to learning. Keeping abreast of industry trends through blogs, webinars, and online courses is crucial. I also value hands-on experience, so I'd engage in personal projects or participate in hackathons to explore new tools. Networking with professionals in the field can provide insights and potential mentorship opportunities, while participating in online forums helps in knowledge-sharing and staying updated with practical applications.

I thrive in startup environments because of the dynamic nature and the opportunity to wear multiple hats. The chance to contribute meaningfully to projects and see the immediate impact of my work is incredibly motivating. Startups foster a culture of innovation and adaptability that excites me, as I enjoy tackling challenges head-on and collaborating closely with passionate teams focused on driving change in their industries.