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- Tasks: Build and optimise modern data pipelines for impactful business insights.
- Company: Join a global tech powerhouse driving data innovation.
- Benefits: Competitive salary, flexible work, and opportunities for mentorship.
- Why this job: Make a tangible impact in a dynamic, collaborative environment from day one.
- Qualifications: Experience in data engineering and strong problem-solving skills.
- Other info: Exciting opportunity to influence data strategy and mentor others.
The predicted salary is between 43200 - 84000 £ per year.
Salary: £70,000
Location: London (3 Days per Week in Office)
Join a fast-paced analytics team driving data innovation at a global tech powerhouse! Take ownership of modern data pipelines, shape the future of reporting, and make an immediate impact in a collaborative, forward-thinking environment.
The Opportunity
This is an exciting opportunity to step into a senior-level data engineering role within a global technology business that’s transforming the way customers connect with everyday services. You’ll play a key part in building and optimizing modern data pipelines, supporting a major migration from Tableau to Looker, and ensuring the delivery of clean, reliable, and scalable data solutions.
The team operates with a strong focus on collaboration, innovation, and autonomy, giving you the chance to influence data strategy and mentor others. You’ll work closely with analytics and marketing stakeholders to bring data-driven insights to life and help shape the future of customer experience. This is a role for someone who thrives in a dynamic environment and wants to make a tangible impact from day one.
The Role and Responsibilities
In this role, you’ll be responsible for building and maintaining reliable, automated data pipelines that power critical business insights. You’ll work across multiple teams to translate complex data needs into scalable, efficient solutions that support reporting and analytics.
A key part of the role will involve supporting a major migration to a new BI platform and ensuring data quality and consistency throughout. You’ll also take ownership of troubleshooting, optimization, and documentation, ensuring smooth operations across diverse data sources. This position offers the chance to mentor others, contribute to best practices, and make a meaningful impact within a collaborative, data-driven environment.
Interview Process
- SQL Test on Kaggle with one of the team. It’ll be 2 Live-Coding questions so they’ll need to write code. They can ask questions and it’s quite interactive.
- Skills based interview - 45 minutes. 30 minutes questions from JET and then 15 minutes time for candidates to ask questions.
Ready to take ownership of high-impact data projects and shape the future of analytics in a fast-moving, global environment? Bring your expertise, drive innovation, and make your mark, apply now!
Data Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your SQL skills and practice coding challenges on platforms like Kaggle. The more comfortable you are, the better you'll perform.
✨Tip Number 3
Show off your projects! If you've built any data pipelines or worked on relevant projects, be ready to discuss them in detail. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with data pipelines, BI platforms, and any relevant projects that showcase your ability to drive data innovation.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past work that demonstrate your problem-solving skills and collaborative spirit.
Showcase Your Technical Skills: Since this role involves SQL and coding, be sure to mention your proficiency in these areas. If you've worked on migrations or optimising data solutions, let us know! We love seeing candidates who can hit the ground running.
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 shows us you’re keen to join our innovative team!
How to prepare for a job interview at Harnham
✨Master the SQL Test
Before your interview, brush up on your SQL skills since you'll be doing a live coding test on Kaggle. Practice writing queries that are efficient and clean, and don't forget to review common functions and joins. Being able to explain your thought process while coding will impress the team!
✨Know Your Data Pipelines
Make sure you understand modern data pipeline architectures and best practices. Be ready to discuss your experience with building and maintaining automated pipelines, as well as any challenges you've faced. This shows you're not just familiar with the theory but have practical knowledge too.
✨Prepare for Skills-Based Questions
The skills-based interview will focus on your technical abilities, so prepare for questions related to data quality, troubleshooting, and optimization. Think of specific examples from your past work where you made a significant impact, and be ready to share those stories.
✨Engage with Questions
At the end of the interview, you'll have time to ask questions. Use this opportunity to show your interest in the role and the company. Ask about their data strategy, the migration to Looker, or how they foster collaboration within the team. This not only helps you gauge if it's the right fit but also demonstrates your enthusiasm!
