Data Engineer (Global Market)

How this role works

Your project may change every several months, that's the nature of consulting, and it's one of the best parts. You'll build a broad range of experience faster than you would on a single product team, and you'll never be left to figure out your next step alone: we manage your bench time, your skills development, and your placement. If you want range, growth, and to be genuinely valued by the company you work for, this is it.

What we're looking for:

2+ years in data engineering, with a track record of owning pipelines end-to-end

Advanced SQL, window functions, CTEs, and query optimization

Python for building and maintaining production pipelines

Solid grasp of data modeling, dimensional modeling, star/snowflake schemas, slowly changing dimensions

Hands-on orchestration experience (Apache Airflow or equivalent like Dagster/Prefect, AWS Glue, Data Bricks, Azure Data Factory)

Experience with a cloud data warehouse (BigQuery, Snowflake, or Redshift)

Familiarity with distributed processing (Spark / PySpark)

Strong software engineering fundamentals: Git, testing, code review, CLI comfort

Client-facing communication, aka English proficiency: you can explain technical decisions clearly and work directly with stakeholders

Adaptability: comfortable ramping quickly on new domains, tools, and client environments

Bonus points (nice-to-haves)

GCP experience: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Dataproc

dbt for transformation and modeling

Kafka or other streaming/messaging experience

Docker, Terraform, and CI/CD for data workflows

Experience in a consulting, outsourcing, or professional services setting

Exposure to pre-sales & solutioning, or experience interviewing and mentoring other engineers

For senior candidates: experience designing architecture and leading on engagements

More infor and apply via:

Mail: [Confidential Information]

Phone/Zalo: 0373 11 2828