Lead Data Engineer

THRYVE; Stuttgart; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in digital technology is seeking a Data Architect to lead Data & AI projects and mentor team members. This role involves technical evaluations, project management, and applying your expertise in cloud environments and machine learning frameworks. Join us to drive ambitious digitalization strategies and contribute to societal relevance through technology.

Qualifikationen

• 5+ years of professional experience in data architecture or engineering.
• Extensive knowledge of Azure, AWS, GCP.
• Strong programming skills in Python & SQL.

Aufgaben

• Act as primary liaison for leadership team and mentor team members.
• Lead Data & AI projects, ensuring quality through agile processes.
• Stay updated with industry trends and assess new technologies.

Kenntnisse

Data Architecture

Leadership

Python

SQL

Machine Learning

Cloud Environments

Ausbildung

Degree / PhD in Computer Science or a related technical discipline

Tools

Terraform

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Jobbeschreibung

Given the significant responsibilities we bear towards our customers, assets, and the environment, we're dedicated to analyzing and developing innovative solutions. Leveraging advanced big data and machine learning technologies, our aim is to deliver optimal services, enhance efficiency, and promote smarter, cleaner practices.

Your Responsibilities :

• Act as the primary liaison for the leadership team, fostering mentorship among team members and cultivating a culture of continuous learning.
• Provide support for projects and initiatives, particularly in their initial setup phase. Collaborate with the team to devise suitable architectures, estimate efforts, and assign appropriate Data Engineers.
• Lead Data & AI projects closely with internal clients, ensuring high quality and stability through agile processes and peer code reviews. Enhance efficiency and time-to-market by implementing reusable data models, architecture templates, and deployable data products.
• Take charge of technical evaluations of new candidates during the hiring process.
• Stay updated with industry trends and emerging technologies in data architecture and engineering. Evaluate and recommend new tools, technologies, and methodologies to enhance data management and analysis capabilities.

Your Skills :

• Possess 5+ years of professional experience in data architecture or engineering, with leadership experience and a degree / PhD in Computer Science or a related technical discipline. Strong affinity for mathematics and statistics.
• Extensive knowledge of Azure, AWS, and GCP cloud environments, along with architecture best practices and tools relevant for machine learning / AI use cases. Hands-on experience with Infrastructure-as-Code frameworks like Terraform and / or ARM templates.
• Proven experience in ETL processes, data extraction, transformation, and loading with Azure Data Factory, Azure Databricks, and / or Azure Synapse Analytics. Familiarity with DevOps, CI / CD pipelines, and deployment best practices.
• Proficient in Machine Learning frameworks like sci-kit-learn, Tensor Flow, PyTorch, Azure ML, etc. (including ML interpretability). Excellent programming skills in Python & SQL.
• Strong communication and presentation skills, adaptable to varying levels of precision and audience, fluent in English and German. Knowledge of the energy industry is advantageous.

What to Expect from a Career in Digital Technology :

Embark on a unique journey that combines your passion for technology with the opportunity to work on topics of high societal relevance. Contribute to our ambitious digitalization strategies, broaden your expertise through diverse assignments, work with cutting-edge technology, and explore international career growth opportunities within the organization.