At a Glance
- Tasks: Enhance data quality and reporting capabilities using GCP and HubSpot integrations.
- Company: Join a high-growth business with a strong B2B data foundation.
- Benefits: Competitive day rate, hybrid working, and direct access to senior stakeholders.
- Other info: Collaborative culture with opportunities for influence and growth.
- Why this job: Make a real impact on the evolution of a cutting-edge data platform.
- Qualifications: Strong GCP, SQL, and Python skills; experience with HubSpot data.
Harnham 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 Role
You’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
- Optimising existing Hub Spot 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 & Experience
Essential
- Strong experience with Google Cloud Platform (GCP).
- Advanced SQL skills.
- Strong Python development experience.
- Commercial experience working with Big Query.
- Experience integrating and working with Hub Spot 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 You
We’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
- IR35 Status: Expected to be Outside IR35 (subject to final confirmation)
- Interview Process
- Stage 1: Hiring Manager interview
- Stage 2: Technical case study / whiteboarding session
- Process & Timeline
If you’re an experienced Data Engineer or Analytics Engineer with strong GCP and Hub Spot expertise and are looking for your next contract opportunity, please apply today.
#J-18808-Ljbffr
HubSpot/GCP Data Engineer (Contract) in London employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
