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- Tasks: Lead the rebuild of a modern data platform and transform legacy systems into scalable solutions.
- Company: Join a forward-thinking company driving high-impact data transformation.
- Benefits: Competitive salary, benefits, and opportunities for professional growth.
- Why this job: Make a real impact by shaping a large-scale data estate with cutting-edge tools.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, experience with Databricks, Azure, and GCP.
- Other info: Collaborative environment with opportunities to influence standards and strategy.
The predicted salary is between 100000 - 100000 £ per year.
Salary: £100,000 + Benefits
Own the rebuild of a modern data platform from the ground up. We are working with a business in the middle of a high-impact data transformation, moving away from legacy constraints towards a scalable, cloud-first architecture. They are looking for a Principal Data Engineer to take a leading role in that journey. This isn't a role where you inherit a polished environment. It's an opportunity to shape, modernise, and influence from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP.
You will operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams and external delivery partners.
The Role
- Data Engineering & Pipeline Development
- Transform legacy batch processes into scalable, observable data pipelines
- Build and deliver high-quality data products in line with architectural designs
- Work across modern cloud platforms including Databricks, Azure, and GCP
- Engineering Leadership & Collaboration
- Act as the technical authority for third-party and contract engineers
- Contribute to engineering communities and help define best practices
- Drive adoption of global standards across security, performance, and code quality
- Operational Performance
- Troubleshoot and resolve critical data issues with urgency
- Deliver long-term fixes rather than short-term patches wherever possible
- Optimise pipelines and queries to improve performance and control cloud costs
- Stakeholder Engagement & Mentorship
- Partner with Business Analysts to ensure data solutions deliver real value
- Mentor and support engineers through pairing and knowledge sharing
- Champion engineering excellence across the team
About You
- Degree in Computer Science, Data Science, or a related field (or equivalent experience)
- Strong experience (typically 5+ years) in data engineering roles
- Advanced skills in Python and SQL
- Hands-on experience with Databricks, Azure, and GCP/BigQuery
- Proven ability to work across both legacy systems and modern cloud environments
Key Skills
- DevOps mindset - you automate wherever possible and write clean, testable code
- Pragmatic approach focused on delivering value without overengineering
- Strong communicator, confident engaging with stakeholders across the business
Why Apply?
- High-impact role with real ownership of platform direction
- Opportunity to modernise and shape a large-scale data estate
- Work in a collaborative, engineering-led environment
- Influence tooling, standards, and long-term strategy
Senior Data Engineer in Reading employer: Halian Technology Limited
Contact Detail:
Halian Technology Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving Databricks, Azure, and GCP. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've transformed legacy systems into modern data pipelines and how you approach mentoring others. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Senior Data Engineer in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data platforms, cloud technologies like Azure and GCP, and any leadership roles you've had. We want to see how you can shape and modernise our data environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data engineering and how your background aligns with our mission to transform data platforms. Be sure to mention specific projects or achievements that showcase your expertise!
Showcase Your Technical Skills: In your application, don't shy away from detailing your technical skills, especially in Python, SQL, and tools like Databricks. We love seeing real examples of how you've tackled challenges in data engineering, so feel free to include links to projects or GitHub repositories if you have them!
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 gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at Halian Technology Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Databricks, Azure, and GCP. Brush up on your Python and SQL skills, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering, especially around transforming legacy systems. Highlight your approach to troubleshooting and how you’ve implemented long-term solutions rather than quick fixes.
✨Demonstrate Leadership and Mentorship
Since this role involves mentoring other engineers, think of examples where you've taken the lead or helped others grow. Be ready to discuss how you foster collaboration and share knowledge within a team.
✨Engage with Stakeholders
Practice articulating how you’ve partnered with business analysts or other stakeholders to ensure data solutions deliver real value. Show that you can communicate complex technical concepts in a way that makes sense to non-technical team members.