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- Tasks: Design and maintain data pipelines on Google Cloud for impactful scientific research.
- Company: Leading research and technology organisation driving scientific innovation with data and AI.
- Benefits: £750 per day, flexible onsite work, and a chance to extend your contract.
- Why this job: Make a real-world impact in science while working with cutting-edge cloud technologies.
- Qualifications: 2+ years as a Data Engineer with strong GCP, Python, and SQL skills.
- Other info: Collaborative environment with opportunities to work on exciting R&D initiatives.
The predicted salary is between 60000 - 90000 £ per year.
Job Description
Contract Data Engineer – Google Cloud | Scientific Data | Research-Focused OrganisationLondon (2-3 days a week onsite)£750 per day (Inside IR35) | 6-month contract
The CompanyHarnham is partnering with a leading research and technology organisation that's leveraging data and AI to accelerate scientific innovation. They're looking for an experienced Data Engineer to join on a 6-month contract and help build and optimise data pipelines supporting large-scale scientific and R&D initiatives.
The RoleYou'll be responsible for designing, developing, and maintaining robust data pipelines on Google Cloud. Working closely with other engineers and scientists, you'll ensure the delivery of clean, scalable data solutions that power high-impact research.
Key Responsibilities
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Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage.
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Ensure data pipelines meet the analytical and scientific needs of key applications.
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Deliver high-quality, production-grade code with testing and documentation.
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Develop, measure, and monitor key performance metrics across tools and services.
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Collaborate with technical peers and participate in code reviews to maintain engineering excellence.
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Work cross-functionally with allied teams to deliver end-to-end, production-ready data solutions.
Your Skills and Experience
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2+ years of experience as a Data Engineer (or equivalent) with a relevant degree in a computational, numerate, or life sciences field.
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Strong experience with Google Cloud Platform (GCP).
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Excellent programming skills in Python and SQL.
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Experience with Spark and DevOps tools (Terraform, GitHub Actions, etc.).
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Strong understanding of modern development practices (git/GitHub, CI/CD, agile).
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Experience with automated testing frameworks such as pytest.
Preferred Qualifications
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Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data).
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Knowledge of bioinformatics or large-scale research data.
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Familiarity with Nextflow, Airflow, or Google Workflows.
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Understanding of NLP techniques and processing unstructured data.
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Experience with AI/ML-powered applications and containerised development (Docker).
Contract Details
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Day Rate: £750 (Inside IR35)
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Location: London – 3 days per week onsite
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Duration: 6 months (potential to extend)
How to ApplyIf you're a skilled Data Engineer with experience in cloud and scientific data environments, and you're looking for a hands-on contract where your work has real-world impact, apply now or get in touch with Harnham for more details.
GCP Data Engineer Contract employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Engineer Contract
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Google Cloud. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and GCP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and be ready to discuss your experience with tools like Spark and Terraform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GCP Data Engineer Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to scientific innovation. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Be specific about your programming skills in Python and SQL, and mention any experience with tools like Spark or Terraform. We’re looking for solid examples of how you’ve used these in past projects, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, especially Google Cloud, Python, and SQL. Brush up on your knowledge of Spark and any DevOps tools like Terraform or GitHub Actions, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or optimised data pipelines. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for this role.
✨Understand the Research Context
Since this position is with a research-focused organisation, it’s beneficial to familiarise yourself with the types of scientific data they work with. If you have experience with biological datasets or AI/ML applications, be ready to discuss how that knowledge can contribute to their initiatives.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, as you’ll be working closely with engineers and scientists. Think of examples where you’ve successfully collaborated on projects, participated in code reviews, or contributed to cross-functional teams to deliver solutions.