Lead Data Engineer

**Zuhlke Engineering Vietnam***:
**4.7**

Do work that matters - From Ideation to Implementation and Beyond. Your career with Zühlke.
- Company type
- IT Service and IT Consulting
- Company industry
- IT Services and IT Consulting
- Company size
- 1000+ employees
- Country
- Switzerland
- Working days
- Monday - Friday
- Overtime policy
- No OT
- The Sentry P Building - 7th Floor, 16 Nguyen Dang Giai, Thao Dien Ward, Thu Duc City, Ho Chi Minh City, Vietnam, Thu Duc City, Ho Chi Minh
- Hybrid
- Skills:

- AWS

Java

**Top 3 reasons to join us**:

- Global company with regional and global clients
- Competitive and well-rounded package
- Work-life balance: 18 annual leaves, hybrid setup

**Job description**:
**What working at Zuhlke is all about.**
We work on **Projects for purpose**, making it our mission to give our work a deeper meaning, ensuring we are focused on creating positive change through technology and digital innovation. We are Flexible, offering a variety of working options to cater to our people’s needs. We pride ourselves on having a** Growth mindset**with a strong learning culture and we invest in learning and development but also believe strongly in learning on the job and through mentorship and coaching. **Sustainability**is one of our top strategic goals. We are carbon neutral as a business, and we are strategically positioning our business offerings in decarbonisation, healthcare and green energy to help clients develop sustainable digital solutions. We care about the work we do.** Diversity and inclusion** are also high on the agenda. We are constantly looking to improve and develop, increasing diversity and developing a more inclusive workplace for all.

**Your role includes.**
- Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.
- Communicating the what, why and how of proposed solutions to technical and non-technical stakeholders.
- Understanding the big data world whilst developing, testing, and monitoring distributed data processing pipelines.
- Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.
- Collaborating with different data roles such as Architects, Software Engineers and Data Scientists with ease.
- Understanding the needs of multiple types of producers and consumers for our data services, ensuring our products meet their requirements.
- Delivering projects in an Agile way, building iteratively to produce value from data early and frequently.
- Keeping yourself technically sharp, being open to learning new concepts and technologies.
- Working collaboratively with colleagues and clients, be it onsite, in the Zuhlke office, or from home.

**Your skills and experience**:
**We would love to hear from you if you have ANY of the following**:
We encourage our data engineers to be open to learn new technology on a project-by-project basis. We are looking for Data Engineers who have a sample of the following skills and experience:

- Experience of designing, building and maintaining data products that meet the needs of data consumers.
- An understanding of common approaches to data analysis, machine learning and data visualisation so you can produce the right data for data consumers.
- Experience with a variety of approaches to data architectures (e.g. Data Lake, Data Mesh, Data Warehouse, streaming, batch processing)
- Hands-on experience with databases both relational and NoSQL.
- Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.
- Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time-series, geospatial, image, etc.).
- Working knowledge of containerisation and public and private Cloud environments.
- Knowledgeable about information security and data governance.
- Excellent and practical data programming skills with experience in different programming languages like Java or Python.
- You have experience delivering projects to deadlines, with an emphasis on quality, ideally in client facing contexts.

**You would have the opportunity to work with a variety of technologies and tools, including**:

- Programming Languages - Java, Python, SQL.
- Cloud environments - AWS (must have)/GCP/Azure
- Big Data Frameworks - Hadoop, Spark, Kafka
- Databases - PostgreSQL, MongoDB, Hive
- Orchestration and Containerisation - Airflow, Docker

**Behaviors**:

- You’re open, proactive, responding to changes quickly and with agility while learning in the process
- You maximise benefit as simply as possible but as complexly as needed
- You recognize and seize opportunities confidently and take an entrepreneurial approach
- You focus on the customer and guide them from the concept phase through to market success
- You’re able to persuade people through clear communication, negotiation skills, empathy and an ability to see things from others’