(Senior) Data Engineer (m/f/d)

esentri AG | Ettlingen

  • Ettlingen

Our DNA is digital. Our heart beats for transformation.

We use this to shape the companies of tomorrow. As architects of the future, we position our clients for a digital and sustainable future. We use twin transformation to combine corporate and sustainability strategy and provide support throughout the change process - always with people at the centre of our thinking. Because for us, transformation is not just a question of the right technology, but also of the culture and mindset throughout the entire company.

"Data & AI" is a dimension that defines the strategic direction of the "Enterprise Analytics & Sustainability" and "Industrial Analytics & IoT" business units. Using modern analytical methods of data science and machine learning, both areas solve specific and relevant customer problems and open up new horizons. In doing so, we fulfil our ethical responsibility and contribute to positive change in our society. We generate usable knowledge from data. We advise our customers on infrastructure and frameworks and also provide these. Data engineering forms our portfolio with data science.

Job description

Our DNA is digital. Our heart beats for transformation.

We use this to shape the companies of tomorrow. As architects of the future, we position our clients for a digital and sustainable future. We use twin transformation to combine corporate and sustainability strategy and provide support throughout the change process - always with people at the centre of our thinking. Because for us, transformation is not just a question of the right technology, but also of the culture and mindset throughout the entire company.

"Data & AI" is a dimension that defines the strategic direction of the "Enterprise Analytics & Sustainability" and "Industrial Analytics & IoT" business units. Using modern analytical methods of data science and machine learning, both areas solve specific and relevant customer problems and open up new horizons. In doing so, we fulfil our ethical responsibility and contribute to positive change in our society. We generate usable knowledge from data. We advise our customers on infrastructure and frameworks and also provide these. Data engineering forms our portfolio with data science.

What you can expect from us

  • With us, you have room to shape and develop: with exciting projects, intensive knowledge exchange, individual training and our Duesentrieb Camps.
  • You get a great all-round package: with an attractive salary & great benefits, a permanent employment contract, the opportunity to work remotely and excellent technical equipment.
  • We give you the flexibility you need: because your work-life balance is important to us. We keep pace with your life and look together at what is important to you and how much flexibility you need.
  • You bear responsibility: - just like everyone here, because we live by the principle of collegial leadership and do not force anyone into strict hierarchies. Each and every one of us helps to shape our own organisation.

Your tasks include

  • In your role as (Senior) Data Engineer (m/f/d), you will advise and support our customers in setting up data platforms. These form the basis for downstream data science projects, in which you will also be involved.
  • Your tasks will include the design and implementation of data lakes, data warehouses/lakehouses, ELT processes, streaming analytics and MLOps.
  • Through data engineering in the cloud, you lay the foundation for data-driven companies of the future.
  • As a (Senior) Consultant (m/f/d), you will pass on your expertise within the team.

What you bring with you

  • A completed apprenticeship or degree in the IT sector forms the basis of your qualification; alternatively, you are a career changer with professional experience in IT.
  • You have several years of practical professional experience in data engineering (setting up ELT routes, data warehousing, streaming analytics).
  • You have experience in the use and provision of data services on one of the major cloud platforms (AWS, Azure, Google Cloud, etc.). Experience with infrastructure as code frameworks such as Terraform is particularly advantageous.
  • At best, you will have expertise in data science and machine learning. The transition between data engineering and data science is often fluid for us.
  • You have already gained experience in the areas of business intelligence and data warehousing.
  • You have a high affinity for modern IT technologies and a clear picture of self-organisation.
  • The status quo is not enough for you, you regularly scrutinise your working methods and results and want to develop yourself further.
  • You have a very good command of German and are open to travelling to our customers from time to time.