Data Engineer

Who we are

At NEWNOW, we believe the best decisions are made when humans and machines work together. We are a decision technology company on a mission to make AI more accessible to business decision-makers. We build AI-powered Decision Cockpits that are easy to use, enabling business managers to combine AI insights with domain experience to generate fast ROI.

What we offer

At NEWNOW, we operate at the highest standards, bringing together the brightest minds to push the boundaries to deliver beyond client expectations. As one of the first key hires in our fast-growing start-up, you will play a pivotal role in shaping our growth alongside a founding team of successful entrepreneurs and top-tier investors. This position offers you a unique opportunity to expand your entrepreneurial skillset and grow your network.

As a Data Engineer, you'll be at the heart of our mission, designing, building, and maintaining the infrastructure that transforms gigabytes of raw data into actionable insights. Your expertise will be instrumental in supporting our renowned clients—including DAX30 organizations and Fortune 500 companies—as they achieve their goals.

You’ll develop scalable data pipelines, optimize data flows, and collaborate closely with our top-tier data scientists to ensure seamless data processing. You'll face and solve complex, intellectually challenging technical problems, making a direct impact on the success of our projects. You’ll be part of a dynamic, highly skilled team that includes global C-level executives and exceptional machine learning engineers.

We offer the flexibility to work from anywhere within Europe, CET +/- 2 hours, or you can join us at our Frankfurt offices. You’ll have the freedom to manage your working hours and actively contribute to shaping our work culture and principles.

"The fast-paced and agile environment that we foster at NEWNOW is perfect for accelerating my learning. We as colleagues trust each other and take responsibility to grow intellectually whilst working with high profile clients to deliver outstanding AI projects. The flexibility and ownership that we have at NEWNOW empowers us to grow constantly, at our own pace."
Olaf Hesse
"I am constantly inspired by the motivating and intellectually stimulating environment that we operate in at NEWNOW. Building cutting-edge Machine Learning solutions and regularly communicating with experienced senior executives pushes me to grow at a great pace."
Lukas Schmidt
"To me, it is important that we design NEWNOW together as a team – what we value, how we work and how we want to scale. The team we are building is truly exceptional and NEWNOW should always be a great place for us to grow, while allowing for the flexibility to fit into our individual lives beyond work. I love that we are testing different ideas on how to work together effectively, both remotely and in-person, I think this is the future of knowledge work. And on a less serious note, we have a lot of fun together (take our meme channel as proof...)”
Johanna Hettinger

The Role

  • You will be responsible for building and maintaining the infrastructure that allows us to turn raw data into actionable insights, enabling our clients to reach their net positive goals.
  • Develop, construct, test, and maintain data architectures such as databases, large-scale processing systems, and data warehouses.
  • Ensure data is organized and easily accessible for analytical and machine learning tasks.
  • Work closely with data scientists to enable seamless data flows and optimize performance.
  • As one of the first employees of the company, you will learn how to quickly scale a start-up business and work directly with the founding team.
  • You will co-define the company you want to thrive in, help build key structures required to scale our operations, co-define our data engineering guidelines and principles, and help us bring to life a unique culture and work environment.

What You'll Bring

  • Top of your class at a renowned university in a quantitative field such as Computer Science, Engineering, or a related discipline.
  • Exceptional track record beyond your studies (e.g., sports, social initiatives, entrepreneurial activities).
  • Strong understanding of database systems, data warehousing, and ETL processes.
  • Experience with cloud-based data platforms (e.g., AWS, Google Cloud, Azure) and data processing frameworks such as Apache Spark or Hadoop.
  • Proficiency in SQL and experience with programming languages like Python (e.g. Pandas library).
  • Attention to detail and the ability to maintain clean and efficient code.
  • At least 1-2 years of relevant work experience in a high-performance environment like a start-up, preferably in a data engineering role.
  • A problem-solving mindset and eagerness to tackle the trickiest challenges.
  • Working (occasionally) at our Frankfurt or Berlin Co-Working Space is preferred. Remote work in time zones CET +/- 2h is possible.  
  • Willingness to travel occasionally (to quarterly retreats or client workshops).
  • Fluent in English (Fluency in German is a plus).