At TecAlliance, technology and automotive specialists collaborate to digitise and shape the future of the Independent Automotive Aftermarket. We help our customers to secure their competitiveness with data-driven solutions and comprehensive consulting services.
We look back on more than 25 years of experience in data research, data preparation and standardisation. Our motivated and committed employees power our success as the driving force behind the digitisation of the entire market.
The ever faster digital transformation is causing rapid growth in the volume of data to be processed. The successful processing of this data is indispensable for us as a full-service provider of data, services and processes. Sounds simple. It is, because we can rely on experts who have mastered the handling of large volumes of data with the help of new and powerful IT solutions, such as Data Engineers, Data Analysts, and Data Consultants.
What does a Data Engineer Analytics do?
A data engineer usually deals with the collection, processing and checking of data. He builds the pipeline to process large amounts of data, thus ensuring the flow of data while at the same time laying the foundation for analysis projects. For this task, he draws on a wide range of tools and technologies.
TecAlliance Analytics offers services based on various data sources, such as predictive analytics. It uses historical data sources to create a mathematical model that can be used to predict future events. Such an analytical model recognises trends in historical data and can predict their continuation into the future. The challenge is to identify the most accurate and relevant information from vast amounts of data to provide a sound basis for decision-making. This is how analytics services can add value.
Our future Data Engineer Analytics, with proven experience in data engineering and data analytics, will support our analytics team in the creation, maintenance and optimisation of data pipelines and their quality assurance. This area of responsibility also includes the creation and maintenance of data models together with architects and product owners. Good knowledge and experience with various database systems is required as well as with Python, Big Data computing engines (such as Apache Spark) and Pandas.
Click here for the job advertisement Data Engineer Analytics.
In our international, medium-sized company, we rely on the responsibility and creative drive of each individual employee. Flat hierarchies and working in cross-functional teams in an inspiring and motivating environment enable the development of individual strengths. Our cooperation is characterized by entrepreneurial thinking, cooperation at eye level, open and transparent communication, (self-) reflection and ownership. We also look for this mindset in new employees. We offer diverse perspectives for personal development in a working environment characterized by collegiality and trust.
We look forward to receiving your unsolicited application.