Data Engineer - passionate about data pipelines and automation

Do ETL processes, workflow automation, and data transformation excite you? Are you ready to grow your career in Data Engineering and help shape the future of the automotive industry? If so, we have an exciting opportunity for you to join our team as a Data Engineer.

We are a high-growth SaaS and analytics company that works predominantly in the automotive industry, where we bridge the gap between data and insights, providing our clients with the necessary tools and intelligence to make informed decisions and optimize their operations. We build automations and utilize prediction models for our prestigious clients so they can take action on data. We work with the biggest clients in the industry such as Audi, VW, Porsche, SKODA, Seat, Peugeot, Opel, Suzuki, KIA and Citroën.

We are looking to hire a full-time Data Engineer to join our growth journey and help us to continue to deliver outstanding products and services to our customers.

The Position

As a Data Engineer at ag analytics, you will be able to leverage your analytic skills to gain insights from a diverse range of data sources. You will be working in our Data Science department, where your main tasks will include:

• Building, maintaining, and optimizing ETL workflows using tools such as Apache Airflow.

• Developing R and Python scripts for data processing and analysis.

• Automating data workflows and ensuring efficient execution.

• Integrating APIs to enhance data accessibility.

• Ensuring data quality through robust testing and validation of workflows.

• Collaborating with cross-functional teams to support analytics and reporting needs.

With exposure to a wide range of technologies, you will have the chance to expand your knowledge and develop your career in a dynamic and challenging environment.

About You

You have a background in data science, statistics, mathematics, engineering, computer science, or other relevant scientific education. You have practical experience working with R and Python and are curious to know more and develop your skills within both Data Science and Data Engineering.

At ag analytics, we believe that passion is the key to success. We are not just looking for individuals with a specific set of hard skills; rather, we are seeking individuals who are truly passionate about data analytics, technology, and making a difference in the world. We believe that with the right mindset and drive, skills can be developed and honed over time. Our clients expect the best from us, so we expect you to be a self-starter, take responsibility, and keep deadlines. You take ownership of your tasks, you are curious and willing to learn and improve. You work in a structured manner, have an eye for detail and ensure we always deliver the highest quality.

Skills and Qualifications

• Experience in building ETL pipelines and workflow automation.

• Good knowledge of programming languages such as R and Python.

• 2-4 years of practical experience.

• Highly structured and committed to delivering reliable, high-quality solutions.

• Good verbal and written English skills.

• Enjoys working on dynamic and diverse data projects.

Nice-to-Have

• Experience working in a Scrum environment.

• Practical experience with Apache Airflow.

About Us

ag analytics is a highly international scale-up with a team of over 40 who are passionate about predictive data analytics. Our offices are on Højbro Plads in the tech start-up community Matrikel 1. We are highly focused on delivering best-in-class solutions to our customers while learning and developing at the same time. We have an informal and relaxed team atmosphere with team events, breakfasts and Friday bars. You can read more about us here www.aganalytics.dk

Please note: this is not a remote role, you will be working in our Copenhagen office.

How to apply

Please apply using the ‘apply’ button, we do not accept applications via email. We interview on an ongoing basis so please apply as soon as possible. We expect to begin responding to the applications at the beginning of January 2025.

If you have any questions about the role, please contact our Head of Engineering, Jan Vittrup Hansen.

We look forward to hearing from you.