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
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.
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Extensive experience in data engineering.
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Experience with cloud-based data technologies and/or migration of data and associated systems to cloud.
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Experience with AI-assisted development.
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Excellent written and oral communication skills.
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Ability to manage and work with large teams.
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Good team player, with strong interpersonal skills. Ability to connect, network and maximise the performance of a team in a challenging hybrid working environment.
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Understanding of systems architecture and databases
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Requirements gathering / Business Analysis skills to allow effective communication with the business and ensure smooth translation from business requirement to technical requirement.
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Technical solution design skills to determine the optimum solution using the correct blend of technologies to meet a set of defined requirements.
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Ability to perform complex analysis, to facilitate decision making and determine the appropriate courses of action.
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Ability to synthesise complex technical information and deliver meaningful messages to people of various technical abilities.
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Sound grasp of the fundamentals of taxation and/or customs, from registration through to returns filing and payment options.
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Knowledge/experience of project delivery methodologies, application development lifecycle, waterfall development model, agile development model and hybrid development model.
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Experience working in standards driven environments.
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Experience working on engagements with technologies and architectures similar to Revenue's as outlined in Appendix 9 of RFT2024.
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Experience working in coding languages as outlined in Appendix 9 of RFT2024.
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Experience working with data using relational databases such as SQL and Ingres, and NoSQL frameworks such as Hadoop.
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Familiarity with techniques for parsing and manipulating structured data formats, RDBMS, XML, JSON, text files, etc.
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Ability to review project deliverables for completeness, quality and compliance with project standards.
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