Middle Data Engineer (GCP/BigQuery Migration)

1/12/2026

The Middle Data Engineer will lead the migration of data from RDS to Google BigQuery and design, construct, test, and maintain scalable data management systems. They will also ensure systems meet business requirements and integrate new technologies into existing structures.

Working Hours

40 hours/week

Company Size

1,001-5,000 employees

Language

English

Visa Sponsorship

About The Company

Miratech helps visionaries to change the world. We are a global IT services and consulting company that brings together global enterprise innovation and start-up innovation. Today we support digital transformation for the largest enterprises on the planet. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. Our culture of Relentless Performance enables over 99% of Miratech’s engagements to succeed by meeting or exceeding scope, schedule and/or budget objectives since our inception in 1989. For additional information about Miratech, please visit www.miratechgroup.com

About the Role

Company Description

Our Client is developing a high-volume Data Lake on Google BigQuery and expanding their data engineering team. We are seeking a Middle Data Engineer to contribute to data migration and pipeline development using modern GCP technology.

Job Description

In this role, you will help build and maintain data pipelines, implement CDC processes, and support the migration from RDS to BigQuery. You’ll work independently while receiving direction from senior engineers and the Engineering Manager.

Working hours: 14:00–23:00

Responsibilities

Lead the migration of data from RDS to Google BigQuery.
Design, construct, test, and maintain highly scalable data management systems.
Ensure systems meet business requirements and industry practices.
Integrate new data management technologies and software engineering tools into existing structures.
Work with messaging systems and data pipelines.
Employ a variety of technologies and tools to marry systems together.
Drive the improvements on data reliability, efficiency, and quality.

Qualifications

5+ years of hands-on experience with Google Cloud Platform, including: BigQuery, DataStream (CDC), Dataflow, Pub/Sub
Strong Java development background.
Experience with Spring Boot.
Proven expertise in building CDC pipelines and distributed data processing systems.
Track record of migrating large datasets from relational databases into BigQuery.
Strong knowledge of automated testing (unit, integration, pipeline tests).
Ability to work autonomously, make architectural decisions, and own end-to-end delivery.

Key Skills

Google Cloud PlatformBigQueryDataStreamDataflowPub/SubJavaSpring BootCDC PipelinesDistributed Data ProcessingAutomated TestingData MigrationData Management SystemsData ReliabilityData EfficiencyData Quality