Role Overview
In this role, a Data Engineer combines technical knowledge, business insight, and expert communication to provide critical information about data systems.
This position focuses on supporting business needs with high-quality data through monitoring, issue detection, impact quantification, end-to-end data corrections, standardization, and architectural optimization.
You will report to a Senior Data Manager and collaborate with other Data Managers on strategic objectives for data quality, governance, metadata management and regulatory compliance.
This is a hands-on role where you will work closely with Product Managers, Data Engineers, Data Scientists, and Insights Analysts to build out Data & Analytics in the Cars domain.
The ideal candidate is passionate about data, eager to learn, tactical, and able to engage with diverse stakeholders.
Key Job Responsibilities and Duties
- Automate and implement Data Quality checks proactively to detect and measure DQ.
- Identify pain points, and propose/create automated processes/reports to accelerate analysis and root cause identification.
- Analyze and profile data to detect priority issues and investigate resolutions; compile and present analysis (including impact quantification) to gain stakeholder attention and prioritization.
- Ensure Data Quality processes are followed, engaging alignment, accountability, and urgency for end-to-end data corrections.
- Understand business priorities and cultivate a business-purpose/data-driven mindset within engineering/data teams.
- Guide improvements and issue mitigation in the end-to-end (e2e) flow (points of failure, data modeling).
- Ensure regulatory, audit & policy requirements are met within the Cars domain.
- Understand pros and cons of different teams involved and support decision-making.
- Propose and implement improvements on standards used in different teams (e.g., MDM, data modeling standards).
- Conduct research, surveys, and interviews to understand business and their priorities to support subjective data quality assessment (NPS).
Role Qualifications and Requirements (Essential)
- Ability to write complex logic using SQL, Python, or similar languages for data analysis.
- Experience profiling data or performing exploratory data analysis.
- Skilled with Data Visualization tools such as Tableau or PowerBI.
- Experience working on Data Governance, lifecycle management processes.
- 1-3 years of relevant experience.
- Proficient in working within an Agile product-based organization with good organizational and task management skills.
- Ability to articulate the difference between a Data Warehouse and a Data Lake and elaborate on different technologies for both.
- Experience working with ETL, data workflows, and data models – capable of getting technical with engineers.
- Strong communication skills – able to communicate with senior managers across disciplines about Data Governance & quality principles & topics.
- Good stakeholder management, collaboration, and influencing skills – able to deliver facts concisely and impactfully.
- Highly analytical and methodical in problem-solving, with a track record of documenting and presenting complex data analysis to diverse audiences.
- Clear sense of ownership and ability to deliver and maintain the highest quality solutions.
This contract is based in Manchester for 2 days a week with the rest remote.