Senior Data Engineer (Databricks)

1. Position Summary

We’re looking for a Senior Data Engineer to join a long-term project for our client, a global company in the travel and cruise industry. You will design, build and maintain scalable data solutions on the Azure Data Platform with a strong focus on Databricks and Lakehouse architecture, supporting the client's operational, financial, reporting and analytical processes.

This is a senior, hands-on role for an engineer with deep commercial Databricks experience who can work independently, take ownership and deliver results in a fast- moving environment.

3. Key Responsibilities

3.1. Data Platform & Pipeline Development

● Design, develop and maintain scalable data solutions within the Azure Data Platform ecosystem, including Azure Synapse, Databricks and Data Lakehouse environments.

● Implement and optimize ETL/ELT processes for ingesting, transforming and serving data from multiple business domains.

● Develop and maintain data processing solutions using Python, SQL and Apache Spark.

● Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata- driven frameworks and orchestration processes.

3.2. Migration & Modernization

● Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades and data platform transformations.

● Work closely with Data Architects and platform teams to ensure alignment with enterprise data architecture, Lakehouse principles and governance requirements.

3.3. Quality, Reliability & Operations

● Ensure data quality, reliability, performance and security across the data platform.

● Troubleshoot production incidents, perform root cause analysis and implement corrective actions.

● Contribute to CI/CD implementation, infrastructure automation, monitoring and operational best practices.

● Optimize data pipelines, storage structures and processing workloads to improve efficiency and reduce costs.

3.4. Collaboration & Engineering Standards

● Collaborate with architects, analysts and business stakeholders to translate business requirements into technical solutions.

● Participate in solution and architecture reviews while promoting engineering standards and governance principles.

● Support reporting, analytics and AI/ML initiatives by providing reliable and scalable data foundations.

● Support knowledge sharing, mentoring and technical development within the team.

3. Required Qualifications

● 5+ years of hands-on commercial experience with Databricks.

● Strong skills in Apache Spark, Python and SQL.

● Solid experience with Azure Cloud: Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics and Azure Data Explorer.

● Proven experience in building and maintaining ETL/ELT processes.

● Hands-on experience with Delta Live Tables (DLT) and Unity Catalog.

● Good understanding of Lakehouse architecture.

● Experience with CI/CD and Azure DevOps.

● Experience with infrastructure automation, monitoring and logging.

● Experience with Power BI.

● Strong analytical and problem-solving skills; ability to work independently with a high level of ownership and accountability.

● Strong communication and stakeholder management skills across technical and business teams.

● English: fluent (strong spoken and written communication).

● Able to work in the EU time zone.

4. Preferred Qualifications

● Experience with data platform migration and modernization projects (e.g. Unity Catalog adoption, platform upgrades).

● Experience building metadata-driven frameworks.

● Understanding of data governance, security, compliance and operational excellence.

● Experience supporting reporting, analytics or AI/ML initiatives.

● Experience mentoring other engineers and contributing to architecture reviews.

● Experience working in cross-functional teams and in dynamic environments with frequently changing priorities.

● Comfortable working with a relatively low level of formal processes; able to make pragmatic decisions, propose practical solutions and deliver results despite incomplete requirements.

5. Working Conditions

● Full-time, 5 days/week

● Remote 100%, with working hours aligned with the EU time zone.

● Long-term engagement with an international client.

● A dynamic, self-organized environment where flexibility, initiative and ownership are essential.

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Contact: via email tien.nguyen@inapps.net or phone 0869282633