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- Tasks: Own data engineering and develop core data pipelines in a rapidly scaling business.
- Company: Established healthcare manufacturer with a supportive, family-friendly culture.
- Benefits: Salary up to £50,000, hybrid working, and opportunities for professional growth.
- Other info: Join a dynamic team focused on collaboration and innovation.
- Why this job: Make a real impact on data capabilities while building lasting relationships.
- Qualifications: Experience with Azure, Python, SQL, and data pipeline management.
The predicted salary is between 40000 - 50000 £ per year.
An opportunity to join a growing data function and take ownership of data engineering in a business that is scaling rapidly. You will work in a supportive, family-friendly culture where your work has a direct impact on every team, and where stability, collaboration, and autonomy are genuinely valued.
THE COMPANY
They are a long-established manufacturer within the healthcare sector, supplying specialist products used across the NHS and international markets. The organisation is growing quickly, expanding its digital presence, and increasing its analytics maturity. With a strong reputation, modern office space, and a culture that prioritises trust and development, they offer the chance to build long-lasting relationships across the business while influencing key data capabilities.
THE ROLE
As a Data Engineer, you can expect to be involved in the following:
- Maintain and develop core data pipelines across Azure.
- Manage nightly data transfers from a legacy system into Azure SQL.
- Build and support integrations for CRM data, NHS datasets, Google Analytics, and international reporting feeds.
- Carry out web scraping using Python and Selenium to support product and patient insight work.
- Improve data architecture and help remove duplicated datasets.
- Create and maintain APIs and new pipelines as the business scales.
SKILLS AND EXPERIENCE
The successful Data Engineer will have the following skills and experience:
- Strong commercial experience with Azure, Python, and SQL.
- Proven ability to build and maintain data pipelines.
- Experience working with APIs and integrating multiple data sources.
- Confidence working with legacy systems and non‐modernised environments.
- Knowledge of web scraping techniques.
- Experience with Tableau, Apache, or digital analytics tools is beneficial but not essential.
BENEFITS
The successful Data Engineer will receive the following benefits:
- Salary between £40,000 - £50,000 - depending on experience.
- Hybrid working - 3 days a week in office.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Data Engineer in West Bromwich employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure, Python, and SQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges, especially around data pipelines and integrations.
✨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 Data Engineer in West Bromwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Python, and SQL. We want to see how your skills align with the role of Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for data engineering and how you can contribute to our growing data function. Keep it friendly and engaging!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data pipelines or integrations. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you brush up on your Azure, Python, and SQL skills before the interview. Be ready to discuss specific projects where you've built or maintained data pipelines, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in legacy systems or non-modernised environments. This could involve discussing how you improved data architecture or removed duplicated datasets, which is crucial for the role.
✨Familiarise Yourself with the Company
Research the company’s products and their impact on the NHS and international markets. Understanding their mission and values will help you align your answers with their culture, especially since they value collaboration and trust.
✨Ask Insightful Questions
Prepare thoughtful questions about their data function and future projects. Inquire about their analytics maturity and how they plan to scale their data capabilities. This shows your genuine interest in the role and the company’s growth.