Remote Data Engineer — Data Vault 2.0 & BigQuery Expert

Marcura; Remote; GBP 40,000 - 60,000; Full time

Job summary

A maritime technology company in London is seeking a Data Engineer to contribute to its data engineering capabilities. Ideal candidates should have strong expertise in Data Vault 2.0 methodologies and experience with tools like Google BigQuery and DBT. Responsibilities include establishing data pipelines, ensuring data quality, and enhancing data warehousing solutions. The company promotes a supportive and inclusive work culture while offering competitive salaries and benefits. The position is fully remote, aiming to hire globally.

Benefits

Competitive salary and bonus

Inclusive onboarding experience

Marcura Wellness Zone

Global opportunities

Diverse, supportive work culture

Qualifications

• Solid understanding and hands-on experience with Data Vault 2.0 methodologies.
• Experience with Google BigQuery and Cloud Composer (Apache Airflow).
• Proficiency in DBT for data transformation and data quality testing.
• Practical experience managing data access controls and security best practices.
• Experience with managed ELT services like Fivetran, Stitch, or Segment.

Responsibilities

• Contribute to data engineering best practices across pipeline design and data quality.
• Ensure daily DBT build is successful with full test coverage.
• Develop and maintain data pipelines in Stitch, Fivetran, Segment, and Apache Airflow.
• Ensure data extraction jobs run successfully daily.
• Support evolution of BigQuery schema for Data Vault 2.0 structures.

Skills

Data Vault 2.0 methodologies

Google BigQuery

Cloud Composer (Apache Airflow)

DBT for data transformation

Fivetran

Stitch

Segment

Data governance practices

Job description

A maritime technology company in London is seeking a Data Engineer to contribute to its data engineering capabilities. Ideal candidates should have strong expertise in Data Vault 2.0 methodologies and experience with tools like Google BigQuery and DBT. Responsibilities include establishing data pipelines, ensuring data quality, and enhancing data warehousing solutions. The company promotes a supportive and inclusive work culture while offering competitive salaries and benefits. The position is fully remote, aiming to hire globally.