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For Companies At a Glance
- Tasks: Build scalable data systems and automate workflows to empower teams.
- Company: Expana, a fast-growing data and analytics company.
- Benefits: Remote work flexibility, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact on global decision-making with innovative data solutions.
- Qualifications: Experience in cloud platforms and strong programming skills, especially in Python.
- Other info: Join a dynamic team that values creativity, collaboration, and personal development.
The predicted salary is between 36000 - 60000 £ per year.
Expana is growing fast, and we’re looking for a Data Platform Engineer to join us on a 6‑month contract and help shape the next evolution of our data platform. If you enjoy building scalable systems, automating complex workflows, and creating tools that empower teams, this role offers real impact from day one. Expana provides global commodity price data, forecasts, and market intelligence to leading organisations across food, pharma, CPG, industrials, and capital goods. We’re expanding rapidly, and our Data & Analytics function sits at the centre of that growth.
What You’ll Do
- Develop and enhance Expana’s data platform and self‑service capabilities.
- Build and maintain reliable data pipelines, including automated ingestion and web scraping.
- Optimise cloud infrastructure (Azure preferred) and ensure platform stability.
- Create automation that streamlines workflows and reduces manual effort.
- Embed strong security and compliance practices.
- Monitor, troubleshoot, and continuously improve data systems.
- Collaborate with data scientists, analytics engineers, and analysts to deliver scalable solutions.
What You Bring
- Experience with Azure, AWS, or GCP.
- Strong programming skills, ideally in Python.
- Familiarity with modern data engineering tools and CI/CD workflows.
- A structured, reliable approach to testing, automation, and system design.
- Clear communication skills and the ability to work independently on complex projects.
- Adaptability, curiosity, and a drive to improve systems and processes.
- Bonus: Experience with web scraping and automated data ingestion.
Qualifications
- Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
- Proven experience delivering data engineering projects end‑to‑end.
Our Core Values at Expana
- Brilliance: We strive for excellence in everything we do, pushing the boundaries of creativity and innovation to deliver outstanding results.
- Connected: We believe in the power of collaboration and communication. By fostering strong relationships within our teams and with our partners, we create a supportive environment that drives success.
- Make a Difference: We are committed to making a positive impact in our industry and community. Our actions reflect our dedication to sustainability, social responsibility, and delivering value to our stakeholders.
If you’re excited to build reliable, scalable data systems that power global decision‑making, we’d love to hear from you. In return for your hard work and dedication, we offer fantastic rewards. Please note that we operate with an agile working model, allowing for remote work and occasional travel to our offices. It is important to mention that we cannot sponsor or provide any work visas to any candidate in our locations and we will be conducting Right to Work checks during our hiring practices to ensure compliance with employment laws.
Data Platform Engineer (web scraping specialist) contractor employer: Expana
Contact Detail:
Expana Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer (web scraping specialist) contractor
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to web scraping and data engineering. This gives us a chance to see your work in action and understand your problem-solving approach.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data platforms. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team at Expana and contributing to our exciting growth.
We think you need these skills to ace Data Platform Engineer (web scraping specialist) contractor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Platform Engineer role. Highlight your experience with Azure, Python, and web scraping. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team at Expana. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable systems and automate workflows. We’re keen to see your hands-on experience!
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’s super easy – just a few clicks!
How to prepare for a job interview at Expana
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure, Python, and web scraping tools. Brush up on your knowledge of data pipelines and CI/CD workflows, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built scalable systems or automated workflows. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Emphasise Collaboration
Since the role involves working with data scientists and analysts, highlight your teamwork skills. Share examples of how you’ve successfully collaborated on projects, focusing on communication and how you contributed to a positive team dynamic.
✨Ask Insightful Questions
Prepare thoughtful questions about Expana’s data platform and future projects. This shows your genuine interest in the role and helps you understand how you can make a difference within the team. It’s also a great way to assess if the company culture aligns with your values.
