Lead Data Engineer

THRYVE; Leipzig; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading company in digital technology is seeking a Data Architect/Engineer with extensive experience in data architecture and engineering. The role involves leading projects, mentoring team members, and staying updated with industry trends. Candidates should possess strong programming skills, leadership experience, and a background in cloud technologies. This position offers opportunities for career growth and the chance to work on impactful projects.

Qualifikationen

• 5+ years of experience in data architecture or engineering with leadership experience.
• Strong knowledge of cloud environments (Azure, AWS, GCP) and machine learning tools.
• Proficient in Python and SQL, with excellent communication skills.

Aufgaben

• Lead Data & AI projects and collaborate with internal clients.
• Mentor team members and support project setups.
• Evaluate candidates during the hiring process.

Kenntnisse

Data Architecture

Data Engineering

Leadership

Machine Learning

Programming in Python

SQL

Communication

Statistics

Ausbildung

Degree / PhD in Computer Science or related technical discipline

Tools

Azure

AWS

GCP

Terraform

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

CI/CD

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.