Data Engineer (m/w/d) - Croatia at Alexander Thamm GmbH

City of Zagreb, , Croatia -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Scala, Java, Azure, AWS, Databricks, MySQL, PostgreSQL, Git, ETL/ELT, Data Modeling, CI/CD, Infrastructure-as-Code, API Implementation, Data Visualization, English (C1)

Industry

Business Consulting and Services

Description

Your start We are looking for you at our location in Zagreb! Your mission Data and AI are your home? Furthermore, your new challenge is as follows: Technical implementation of customer projects in the field of Data Engineering Integration of source systems and execution of data integration into a target system for Data Analytics, Machine Learning, or AI use cases Implementation of data pipelines / ETL / ELT processes, including testing, debugging, automation, documentation, and maintenance Assessment of data quality and execution of data cleansing activities Implementation and deployment of APIs, data, analytics, and machine learning use cases in production environments Support for the project team in the areas of Infrastructure-as-Code and CI/CD Documentation, preparation, and communication of project results, including data visualization for various purposes Support of project organization with respect to planning and coordination Your profile Data is also in your DNA? You should bring the following: A successfully completed degree in Computer Science, Data Engineering, or another mathematical/scientific field, or a comparable qualification Ideally, initial professional experience as a Data Engineer, Software Engineer, or in a similar role Fluent communication skills in English (C1 level) and Croatian, as well as a willingness to travel as part of consulting engagements Strong proficiency in at least one programming language (e.g., Python, Scala, or Java), especially with its data engineering components and libraries, as well as knowledge of Git Good knowledge of Azure / AWS / Databricks, particularly their data engineering components and services Good understanding of relational databases such as MySQL and PostgreSQL, including data modeling We offer Data is moving us! What awaits you on your personal journey can be found here: Work–Life Balance Trust-based working hours with flexible scheduling, a hybrid work model, and workation – make use of the opportunity to work from abroad within the EU. Culture & Collaboration A unique team atmosphere, flat hierarchies with direct access to our CEO Alex, as well as an open feedback culture; annual team workshops at our Data.Castle in the Zillertal; the lived Data.Musketeer principle – “one for all, all for one!”; our [at] Buddy program for better networking; regular professional and leisure events; dog-friendly offices. Professional & Personal Development An intensive onboarding and training process, a personal development plan and individual training opportunities, a diverse range of workshops and training sessions within the Data.Academy provided by our experienced Data.Musketeers as well as external providers, and career paths in leadership, project management, and expert roles. Contact person Valerie Müller, Chief People Officer About us Alexander Thamm GmbH is one of the leading providers of data science and artificial intelligence in the German-speaking region. We as a company generate real added value from data for and with our customers so they can remain competitive in the future. To this end, Alexander Thamm GmbH develops and implements data-driven innovations as well as business models. The service portfolio covers the entire data journey - from data strategy to the development of algorithms and the construction of IT architectures to maintenance and operation. You want to learn more about us and take a look behind the scenes, then visit us on Facebook, Instagram, LinkedIn or Stackoverflow.

Responsibilities

The role involves the technical implementation of customer projects focusing on data engineering, including the creation of ETL/ELT pipelines and data integration for AI and Machine Learning use cases. Additionally, the engineer will handle data quality assessment, API deployment, and support project organization through CI/CD and Infrastructure-as-Code.