SENIOR DATA ENGINEER (Azure Databricks Lakehouse)

Location: 100% Remote (EU Time Zone Alignment)

Employment Type: Full-time Contractor – Long-term Project

Level: Senior

Expected Start Date: ASAP

Compensation: Up to VND 50,000,000 gross/month

Our client is a global company operating in the travel and cruise industry, offering river, sea, and ocean voyages, as well as expedition journeys.

With an extensive fleet and international operations, the organization manages large volumes of data across its operational, financial, reporting, and analytical functions. The company leverages modern cloud-based data technologies to support its business operations and data-driven initiatives.

Our client is seeking a Senior Data Engineer to join a long-term international project, focusing on building and maintaining scalable data solutions within the Azure Data Platform ecosystem.

This is a hands-on engineering role with a strong emphasis on Databricks and Lakehouse architecture. You will be responsible for developing reliable data pipelines, optimizing data processing workflows, and supporting data platform modernization initiatives.

The role requires an experienced engineer who can work independently, take ownership of technical deliverables, and collaborate effectively with international teams in a dynamic environment.

Data Platform & Pipeline Development

• Design, develop, and maintain scalable data solutions using Azure Synapse, Azure Databricks, and Data Lakehouse technologies.
• Build and optimize ETL/ELT pipelines to ingest, transform, and deliver data across multiple business domains.
• Develop robust data processing solutions using Python, SQL, and Apache Spark.
• Implement and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and data orchestration processes.

Data Platform Modernization

• Support data platform migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and architectural transformations.
• Collaborate with Data Architects and platform engineering teams to ensure alignment with enterprise architecture, Lakehouse principles, and data governance requirements.

Data Quality, Performance & Reliability

• Ensure data quality, reliability, performance, and security across the data platform.
• Troubleshoot production issues, conduct root cause analysis, and implement corrective measures.
• Contribute to CI/CD practices, infrastructure automation, monitoring, and operational improvements.
• Optimize data pipelines, storage structures, and processing workloads to improve efficiency and cost-effectiveness.

Collaboration & Engineering Excellence

• Work closely with architects, analysts, and business stakeholders to translate business requirements into technical solutions.
• Participate in architecture and solution reviews, promoting engineering standards and data governance principles.
• Support reporting, analytics, and AI/ML initiatives through reliable and scalable data infrastructure.
• Contribute to knowledge sharing, mentoring, and technical development within the engineering team.
  

• At least 5 years of hands-on commercial experience working with Databricks.
• Strong proficiency in Apache Spark, Python, and SQL.
• Solid experience with the Azure Data Platform, including Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer.
• Proven experience designing, developing, and maintaining ETL/ELT pipelines.
• Hands-on experience with Delta Live Tables (DLT) and Unity Catalog.
• Good understanding of Lakehouse architecture and modern data engineering practices.
• Experience implementing CI/CD pipelines and working with Azure DevOps.
• Familiarity with infrastructure automation, monitoring, and logging.
• Experience working with Power BI.
• Strong analytical and problem-solving skills, with the ability to work independently and take ownership of deliverables.
• Excellent communication and stakeholder management skills across technical and business teams.
• Fluent English communication skills, both written and spoken.
• Availability to work in alignment with the EU time zone.
  

• Experience in data platform migration and modernization projects, including Unity Catalog adoption and platform upgrades.
• Experience developing metadata-driven data processing frameworks.
• Understanding of data governance, security, compliance, and operational excellence.
• Exposure to reporting, analytics, or AI/ML initiatives.
• Experience mentoring engineers and contributing to architecture reviews.
• Experience working with cross-functional teams in fast-paced environments with evolving priorities.
• Ability to make pragmatic technical decisions and deliver effective solutions in environments with limited formal processes or incomplete requirements.
  

The ideal candidate is someone who:

• Has extensive hands-on experience with Azure Databricks and a strong understanding of modern Lakehouse architecture.
• Demonstrates strong technical ownership and can independently design, build, troubleshoot, and optimize complex data solutions.
• Combines solid engineering expertise with a pragmatic, solution-oriented approach to solving business and technical challenges.
• Thrives in dynamic, self-organized environments where priorities may change and requirements are not always fully defined.
• Is proactive in identifying opportunities to improve data quality, performance, reliability, and operational efficiency.
• Collaborates effectively with architects, engineers, analysts, and business stakeholders across international teams.
• Communicates confidently in English and is comfortable working remotely with teams operating in the EU time zone.
  

• Competitive compensation of up to VND 50,000,000 gross/month.
• 100% remote working arrangement.
• Full-time engagement, 5 days per week.
• Long-term project opportunity with an international client.
• Collaboration with global teams, with working hours aligned with the EU time zone.
• A dynamic, self-organized working environment that values flexibility, initiative, and ownership.
  

• Round 1: Technical interview directly with the client.
• Round 2: Technical interview directly with the client.

Interested candidates are invited to submit an updated English CV to the recruitment consultant handling this position.

All applications will be treated with strict confidentiality. The client's identity and further company information will be shared with qualified candidates during the recruitment process.