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HubSpot/GCP Data Engineer (Contract)

Harnham - Data & Analytics Recruitment·London (South East England)Hybrid6 months
£480 – £500 / day
Vox Summary
  • Role Overview: Support the evolution of the data platform and reporting capabilities, focusing on data quality, reporting, and platform performance within GCP.
  • Key Requirements: Strong experience with GCP, advanced SQL, Python development, BigQuery, and integrating HubSpot data.
  • Conditions & Benefits: 6-month contract, hybrid working with 2 days on-site, day rate £480-£500, outside IR35, opportunity to influence platform direction.
  • Additional Skills: Experience with Salesforce, exposure to Data Science or advanced analytics projects is desirable.
  • Candidate Profile: Hands-on data professional, experienced in high-growth businesses, solution-focused, with stakeholder engagement skills.
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Job description

Data Engineer / Analytics EngineerHarnham is partnered with an innovative, high-growth business that is looking for a Data Engineer / Analytics Engineer to support the evolution of its data platform and reporting capabilities. This is a fantastic opportunity to join a business that has already established a strong B2B data foundation and is now investing heavily in expanding and optimising its B2C data capabilities. The RoleYou'll play a key role in enhancing the company's existing data ecosystem, with a particular focus on improving data quality, reporting, and platform performance within GCP. Key responsibilities include: • Optimising existing HubSpot integrations to improve data quality and reliability. • Enhancing reporting capabilities through improved data pipelines and flows into Google Cloud Platform (GCP). • Supporting the expansion of existing B2B data infrastructure to accommodate growing B2C requirements. • Helping evolve and optimise the current GCP platform to ensure it is fit for future growth. • Working closely with business stakeholders to deliver meaningful insights and scalable data solutions. Skills & ExperienceEssential • Strong experience with Google Cloud Platform (GCP). • Advanced SQL skills. • Strong Python development experience. • Commercial experience working with BigQuery. • Experience integrating and working with HubSpot data. Desirable • Experience with Salesforce. • Exposure to Data Science or advanced analytics projects. Not Required • AWS or Azure-centric backgrounds are not a priority for this position. • Kubernetes and Dataproc experience are not required. About YouWe're looking for a hands-on data professional who enjoys working within agile, growing organisations and can help drive improvements across a developing data landscape. The ideal candidate will have: • Experience working within scaling or high-growth businesses. • A pragmatic, solution-focused approach. • Strong stakeholder engagement and communication skills. • The ability to work effectively within a lean, technology-focused environment. Industry background is flexible; our client is prioritising capability, impact, and technical excellence over sector-specific experience. The Environment • Established data platform with a focus on further optimisation and expansion. • Lean technology team where you'll have genuine influence over the platform's direction. • Opportunity to work across both engineering and analytics-focused initiatives. • Collaborative culture with direct access to senior stakeholders. Contract Details • Contract Length: 6 months • Location: Hybrid working • On-site Requirement: 2 days per week split between London Bridge and Kingston • Day Rate: £480-£500 • IR35 Status: Expected to be Outside IR35 (subject to final confirmation) Interview ProcessStage 1: Hiring Manager interview Stage 2: Technical case study / whiteboarding session Process & TimelineIf you're an experienced Data Engineer or Analytics Engineer with strong GCP and HubSpot expertise and are looking for your next contract opportunity, please apply today.

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Original source
reed.co.uk
Posted
Jul 08, 2026 · true date
Last verified
3 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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