Data Engineer - Manchester £400 per day

Project overview

Data Engineer - Manchester £400 per day

Global E-commerce travel giant requires data engineer for an initial 6 month contract.

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.

Responsibilities

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).

Requirements

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 I based in Manchester for 2 days a week with the rest remote. The daily rate is £400 per day inside of IR35.

Project details

• Start: ASAP
• Duration: 6 months
• Location: Manchester, UK, GB
• Rate: 50-50 EUR/h