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, and flexible work options in London.
- Other info: Opportunity for career growth and to make a real impact on a large-scale data estate.
- 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 70000 - 90000 £ per year.
Salary: £90,000 + Benefits/Bonus
Location: London (1 or 2 days a week in London HQ)
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 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 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.
- 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
Qualifications:
- 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
Senior Engineer, Data Engineering employer: Halian Technology Limited
As a Senior Engineer in Data Engineering at our London HQ, you'll be part of a dynamic team driving a significant data transformation. We offer a collaborative work culture that prioritises innovation and employee growth, with opportunities to mentor others and shape best practices in a cloud-first environment. Enjoy competitive salary packages, flexible working arrangements, and the chance to make a meaningful impact on our modern data platform.
