Senior Data Engineer

Salary: £43,000 - 83,000 per year

Requirements:

• Strong, hands-on experience with Azure Databricks and Spark in production environments
• 5+ years of experience in data engineering or software engineering with a strong data focus
• Experience designing, building, and operating production-grade data pipelines on cloud platforms, with Azure preferred
• Strong SQL skills and experience working with analytical data models and data warehouses
• Proficiency in Python, with Scala as a plus
• Solid engineering discipline, including CI/CD, testing, Git, and modern DevOps practices for data engineering
• Experience delivering enterprise-grade, production-ready data products used by multiple stakeholders
• Ability to work closely with product owners and other engineers, and communicate clearly with both technical and non-technical audiences
• Experience working with Azure Synapse, including dedicated or serverless SQL pools, and hybrid architectures where Databricks and Synapse coexist
• Relevant education in Computer Science, Mathematics, Economics, Information Management, Statistics, or similar
• Fluent English communication skills
• Agile mindset and experience working in Scrum-based teams
• Proactive, can-do mindset and eagerness to adapt and grow in a fast-moving AI-driven data environment
• Hands-on experience with Docker, Kubernetes, and container orchestration is nice to have

Responsibilities:

• Work closely with colleagues within a product team to design scalable, efficient and stable products
• Act as a senior sparring partner to product managers and lead data engineers
• Take technical ownership of complex, business-critical data products
• Create and maintain high-quality data pipeline architecture
• Obtain relevant business and system knowledge to convert requirements into technical design documentation and conceptual data modelling
• Ingest large, complex data sets, automate manual processes, optimize data delivery, and improve data quality
• Proactively improve data quality, observability, and reliability across pipelines and data products
• Live and breathe a build-once-consume-many culture that enables others to use our data products for maximum value-add
• Collaborate with stakeholders and teams to solve data-related technical challenges
• Actively contribute to defining and evolving best practices and standards
• Balance speed with quality in a product-oriented engineering environment
• Mentor other data engineers and raise the overall engineering bar

Technologies:

• AI
• Azure
• CI/CD
• Cloud
• Databricks
• DevOps
• Docker
• Embedded
• Git
• IaaS
• Support
• Kubernetes
• Python
• SQL
• Scala
• Serverless
• Spark

More:

We are Pandora, the worlds largest jewelry brand, and we are building on an Azure Databricks-first data platform as we move away from legacy IaaS-based solutions. Our Senior Data Engineer role is embedded in a product team in London and sits within our broader Data & Analytics community, working with data engineers, architects, product managers, scrum masters, analytics engineers, and global stakeholders. We offer tailored development plans, mentorship, regular reviews, a competitive salary, a generous bonus scheme, hybrid working with three office days and two work-from-home days between Monday and Thursday, early finish Fridays, private healthcare, employee discounts and perks, 25 days annual leave plus bank holidays, the option to buy or sell leave, your birthday off, and wellness support through our Employee Assistance Programme. As a growing team, we also offer genuine opportunities to shape our culture, ways of working, and tooling choices.

last updated 36 week of 2026