Senior Data Engineer/ Tech Lead Cluj-Napoca

Senior Data Engineer/ Tech Lead
Cluj-Napoca
Cluj-Napoca, Cluj County, Romania

Since 1998, we've been active in the Human Resources consulting market, providing regional coverage across four key areas of expertise: recruitment and selection, personnel leasing, assessment centers and consultancy. As leaders in Transylvania, we've expanded our reach to embrace a culture of continuous improvement, thereby strengthening our position in the Romanian and also regional market. This commitment underscores our dedication to evolve alongside the dynamic needs of our clients and the
- changing landscape of the business environment.

Our success stems from the professionalism of our services, the multidisciplinary expertise of our consulting team and our ongoing collaboration with those who rely on our consultancy services.

Building
- term partnerships with clients across diverse industries such as IT&C, automotive, outsourcing, pharma, banking, FMCG and more, is our primary objective.

Our commitment to client orientation, teamwork, flexibility, excellence, dedication and responsibility reflects our aim to bring added value to our services.

Our client is a leading global provider of sustainable, multimodal transportation and logistics solutions, with a presence in over 24 countries across Europe, North America, Asia, and Australia. It operates an extensive network that integrates
- sea, road, rail, and inland waterway transport, offering innovative and environmentally conscious logistics services.

The Senior Data Engineer / Tech Lead plays a crucial role in transforming vast and complex datasets into strategic assets, enabling
- driven decisions, and enhancing innovative services. The main focus is on managing internal and external data, enhancing the modern Azure-based data platform, and ensuring seamless integration, storage, and processing of big and streaming data. This position requires both technical leadership and
- on engineering skills, offering a dynamic and impactful role within the company.

Key Responsibilities:

• Serve as a trusted advisor to the Data Architect, offering alternative approaches and architectures.
• Lead and mentor team members, fostering a collaborative and
  - performance environment.
• Proactively drive improvements by optimizing and automating processes.
• Build, deploy, monitor, and manage data pipelines in Azure, with a focus on efficiency and performance.
• Implement delta loads on multiple data sources to enhance system functionality.
• Monitor the performance and implement quality control measures.
• Develop and refine system integrations using scripting languages and tools.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience as a Data Engineer.
• Proficiency in SQL (e. g. , My
  SQL, MSSQL, Oracle SQL).
• Solid understanding of Microsoft Azure features, particularly Azure Data Factory and Azure Data Lake.
• Familiarity with CI/CD pipelines using Azure Dev
  Ops.
• Knowledge of ETL frameworks, data models, containerization, and data formats such as JSON and Parquet.

Preferred Qualifications:

• Azure Data Engineer Associate certification or equivalent.
• Experience in data analytics, machine learning, or data science.
• Industry experience in transport/logistics is a plus.
• Python scripting experience is an advantage.
• Strong communication skills, with the ability to influence and engage stakeholders.

Personal Attributes:

• Entrepreneurial mindset with a proactive approach to challenges.
• Critical thinking and
  - solving abilities, with attention to detail and accuracy.
• Ability to adapt quickly in a
  - paced, evolving environment.
• Excellent collaboration and negotiation skills.

Challenges:

• Managing imperfect datasets.
• Navigating a changing architecture and application landscape.
• Adapting to shifting business priorities.