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Data Engineer

INTEC SELECT LIMITED·London (South East England)Hybrid
£30 000 – £34 000 / year
Vox Summary
  • Role Responsibilities: Design, build, and maintain data models, dashboards, and analytics solutions to support product performance measurement and provide real-time insights.
  • Key Skills & Experience: Strong SQL skills, experience with large datasets, designing reporting solutions, developing KPIs, and knowledge of data governance, privacy, and security.
  • Tools & Technologies: Hands-on experience with Google Analytics (GA4), data visualisation tools like Power BI, Tableau, Looker, and familiarity with cloud platforms such as Azure, AWS, or GCP.
  • Conditions & Benefits: Hybrid working model in Stratford, London, up to £34,000 salary plus bonus, civil service pension, and exceptional benefits.
  • Collaboration & Culture: Work closely with cross-functional teams to ensure data informs decision-making, promote best practices, and foster continuous improvement.
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Job description

Data Engineer – Up to £34,000 + Bonus + Exceptional Benefits (Civil Service Pension) + Hybrid (Stratford, London) We're looking for a talented Data Engineer to join a growing Product team, helping to drive evidence-based decision-making through high-quality analytics, reporting, and performance insights. This role will play a critical part in measuring product performance, understanding user behaviour, and enabling teams to make smarter decisions that improve customer outcomes, operational efficiency, and commercial success. You'll work closely with Product Managers, Marketing, Operations, and User Research teams to build data solutions, deliver actionable insights, and champion a truly data-driven culture. What You'll Be Doing • Design, build, and maintain data models, reporting frameworks, and analytics solutions that support product performance measurement. • Develop and manage dashboards and visualisations that provide real-time insights into key product and business metrics. • Analyse data across the customer journey, including acquisition, engagement, retention, satisfaction, and revenue performance. • Work with stakeholders to define KPIs and performance measures aligned to product strategy and business objectives. • Conduct deep-dive analysis to identify trends, risks, and opportunities that support product optimisation and growth. • Collaborate with Product, Marketing, Operations, and Research teams to ensure data informs decision-making and prioritisation. • Integrate data from multiple sources to provide a comprehensive view of customer behaviour and service performance. • Ensure data quality, integrity, governance, and compliance across reporting and analytics activities. • Support commercial and growth initiatives through customer acquisition, retention, and engagement analysis. • Promote best practices and foster a culture of continuous improvement through data and analytics. What We're Looking For • Experience in Data Engineering, Analytics Engineering, Performance Analytics, or Data Analysis roles within digital products or services. • Strong SQL skills and experience working with large and complex datasets. • Experience designing and maintaining reporting solutions, dashboards, and data visualisations. • Strong analytical mindset with the ability to turn data into actionable business recommendations. • Experience developing and tracking KPIs and performance metrics across digital products and services. • Knowledge of data governance, quality assurance, privacy, and security best practices. • Hands-on experience with Google Analytics (GA4) and digital performance data. • Excellent stakeholder management and communication skills. Desirable Experience • Experience analysing customer acquisition, engagement, and retention within subscription-based or digital service environments. • Knowledge of education technology, digital learning, or online platforms. • Experience with Power BI, Tableau, Looker, or similar visualisation tools. • Understanding of Agile delivery methodologies and product development lifecycles. • Experience working within international or multicultural organisations. • Exposure to cloud platforms such as Azure, AWS, or GCP. Qualifications • Degree in Data Science, Computer Science, Information Systems, Business Analytics, STEM, Finance, or a related discipline. • Relevant certifications in Data Analytics, Data Management, Business Intelligence, Cloud Technologies, or Governance are advantageous but not essential. Data Engineer – Up to £34,000 + Bonus + Exceptional Benefits (Civil Service Pension) + Hybrid (Stratford, London)

Transparency panel

Original source
reed.co.uk
Posted
Jul 07, 2026 · true date
Last verified
2 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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