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Full time
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V1

Senior Data Engineer

Version 1United States🇺🇸United StatesPosted 13 Sept 2026

Why This Role Stands Out

This hybrid Senior Data Engineer role at Version 1 offers a fantastic opportunity to lead critical data migration projects to GCP BigQuery, develop your technical and leadership skills by mentoring junior engineers, and contribute to a reputable company. If you're an experienced data engineer eager to make a significant impact and grow within a supportive team, this is an excellent next step for your career.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
United States
GCPSQLAgileBigQueryHadoop

Job Description

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role.

Reporting to the Data Engineering Manager you will:

  • Provide technical expertise and oversight for migration program of analytics workloads from on-prem analytics software to GCP BigQuery platform.
  • Work with business teams to understand their requirements and to provide and coordinate support during the migration process.
  • Assign migration tasks to junior team members and ensure they are progressing in line with migration plan.
  • Identify and implement appropriate programs of testing and validation for migrated workloads.
  • Create functional design specifications and/or user stories as required.
  • Ensure all developments and project work are in line with Revenue standards.
  • Quality assure code and output in the project.
  • Peer review code.
  • Identify and implement appropriate programs of testing and validation for migrated workloads.
  • Mentor and coach junior members.
  • Guide intermediate level team members in their work.
  • Support project managers in all aspects of their work.
  • Provide input to governance and status reports.
  • Outline resource requirements for a project/sub team.
  • Help track project progress against the plan and report variances.
  • Identify and report on any technical risks that might be relevant to the project delivery.
  • Manage issues and risks affecting the project/team.
  • Investigate and prioritise live incidents. Perform root cause analysis and propose permanent fixes or suitable workarounds as required.
  • Organise live incident tickets or bug tracking.
  • Manage and monitor live issues across various Revenue Systems.
  • Liaise with development / Continuous Service Improvement teams to identify and implement fixes as required to resolve live issues.
  • Identify Continuous Service Improvements and work to implement the initiatives.
  • Extensive experience in data engineering.

  • Experience with cloud-based data technologies and/or migration of data and associated systems to cloud.

  • Experience with AI-assisted development.

  • Excellent written and oral communication skills.

  • Ability to manage and work with large teams.

  • Good team player, with strong interpersonal skills. Ability to connect, network and maximise the performance of a team in a challenging hybrid working environment.

  • Understanding of systems architecture and databases

  • Requirements gathering / Business Analysis skills to allow effective communication with the business and ensure smooth translation from business requirement to technical requirement.

  • Technical solution design skills to determine the optimum solution using the correct blend of technologies to meet a set of defined requirements.

  • Ability to perform complex analysis, to facilitate decision making and determine the appropriate courses of action.

  • Ability to synthesise complex technical information and deliver meaningful messages to people of various technical abilities.

  • Sound grasp of the fundamentals of taxation and/or customs, from registration through to returns filing and payment options.

  • Knowledge/experience of project delivery methodologies, application development lifecycle, waterfall development model, agile development model and hybrid development model.

  • Experience working in standards driven environments.

  • Experience working on engagements with technologies and architectures similar to Revenue's as outlined in Appendix 9 of RFT2024.

  • Experience working in coding languages as outlined in Appendix 9 of RFT2024.

  • Experience working with data using relational databases such as SQL and Ingres, and NoSQL frameworks such as Hadoop.

  • Familiarity with techniques for parsing and manipulating structured data formats, RDBMS, XML, JSON, text files, etc.

  • Ability to review project deliverables for completeness, quality and compliance with project standards.

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