At a Glance
- Tasks: Lead the rebuild of a modern data platform and transform legacy processes into scalable pipelines.
- Company: Join a forward-thinking company driving high-impact data transformation.
- Benefits: Competitive salary, bonuses, flexible remote work, and opportunities for professional growth.
- Other info: Work closely with teams and partners to deliver impactful data solutions.
- Why this job: Shape the future of data engineering and influence best practices in a dynamic environment.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, and a DevOps mindset.
The predicted salary is between 90000 - 90000 £ per year.
Salary: £90,000 + Benefits/Bonus
London – 1 or 2 days a week in London HQ
Own the rebuild of a modern data platform from the ground up. We’re 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’re looking for a Data Engineer to take a leading role in that journey.
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’ll operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams and external delivery partners.
- 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
- 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
- Partner with Business Analysts to ensure data solutions deliver real value
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
DevOps mindset – you automate wherever possible and write clean, testable code
Opportunity to modernise and shape a large-scale data estate
Influence tooling, standards, and long-term strategy
Data Engineer Con Spark/Scala (Remoto) in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
As a Data Engineer at our London HQ, you will be part of a dynamic team driving a significant data transformation, with the flexibility of remote work and a collaborative culture that values innovation and mentorship. We offer competitive salaries, comprehensive benefits, and opportunities for professional growth, allowing you to shape the future of our data architecture while working with cutting-edge technologies like Databricks and Azure. Join us to make a meaningful impact in a supportive environment that prioritises your development and success.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Con Spark/Scala (Remoto) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with tools like Databricks and Azure. 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 best data products and projects. This is your chance to demonstrate how you’ve transformed legacy systems into modern, scalable solutions—just like what we’re looking for!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Be ready to discuss how you’ve optimised pipelines and resolved critical data issues. We want to see that DevOps mindset in action!
✨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 Con Spark/Scala (Remoto) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud technologies, and any relevant projects that showcase your skills in Python and SQL. We want to see how you can contribute to our journey of modernising data platforms!
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 your background aligns with our mission at StudySmarter. Don’t forget to mention your experience with tools like Databricks and Azure, as they’re key to what we do.
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled critical data issues in the past. We love candidates who can deliver long-term fixes and optimise performance, so let us know how you've done this in your previous roles!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join the StudySmarter team!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Spark, Scala, Databricks, Azure, and GCP. Brush up on your Python and SQL skills too, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've transformed legacy systems or optimised data pipelines. Highlight your ability to troubleshoot and resolve issues quickly, as this is crucial for the role.
✨Understand the Business Impact
Be ready to explain how your data solutions have delivered real value in past roles. This shows that you not only understand the technical side but also how it aligns with business goals.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with teams and mentoring others, share experiences where you’ve collaborated effectively or helped others grow. This will demonstrate your leadership potential and team spirit.
