Data Engineer - Manchester £400 per day

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.

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 modelling).
• 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 (eg, MDM, data modelling 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, life cycle 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. The daily rate is £400 per day inside of IR35.