Are you passionate about data engineering and want to be a part of data‑driven growth at the world’s largest jewelry brand?
As our new Senior Data Engineer in London, you will take end‑to‑end ownership of critical data products on our Azure Databricks‑based data platform. You will work closely with product teams and lead data engineers to raise solution quality, establish standards, and help shape how we build data products for analytics and AI.
In this role, you will:
* Work closely with your 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 efficiently to technical design documentation and conceptual data modelling
* Proactively improve data quality, observability, and reliability across pipelines and data products
* Live and breathe “build‑once‑consume‑many” culture in which we enable 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
Team player passionate about data and engineering
Some would say that you are a real team player, product oriented, can‑do attitude and with good stakeholder management skills. You are structured and analytical, always aiming to achieve great results. Furthermore, you are a confident communicator and can explain your solution design and tailor the message according to the audience.
You’re a strong match for this role if you have:
* 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 (Azure preferred)
* Strong SQL skills and experience working with analytical data models and data warehouses
* Proficiency in Python (Scala is 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
* Agile mindset and experience working in Scrum‑based teams
* Bring a proactive, can‑do mindset and is eager to adapt and grow in a fast‑moving AI‑driven data environment
Nice to have:
* Hands‑on experience with Docker, Kubernetes, and container orchestration.
Your new team
You will be part of Pandora’s broader Data & Analytics community, collaborating with data engineers, architects, product managers, scrum masters, and analytics engineers, as well as global stakeholders across the world who rely on our data products to make business decisions. As a growing team, you will have genuine opportunities to shape culture, ways of working, and tooling choices.
What We Offer
* Career Development & Growth: Be at the forefront of an inspiring journey with tailored development plans, mentorship, and regular reviews to ensure you’re on track to achieving your goals.
* Competitive Salary & Regular Reviews: We make sure your efforts are rewarded fairly, with regular opportunities to review your progress and success.
* Generous Bonus Scheme: Your hard work doesn’t go unnoticed, with opportunities to earn performance‑related bonuses.
* Hybrid Working Flexibility: Strike the perfect balance between collaboration and focus, with three office days and two work‑from‑home days between Monday and Thursday.
* Early Finish Fridays: Start your weekends early by finishing work at 3 PM every Friday.
* Private Healthcare: Your wellbeing is our priority, with access to private healthcare that keeps you covered.
* Employee Discounts & Perks: Enjoy 55% off Pandora products and exclusive access to discounted brands, cinema tickets, gym memberships, holidays, and more.
* Annual Leave & Flexibility: 25 days annual leave plus bank holidays, with the option to buy or sell leave, and your birthday off to celebrate you.
* Wellness Hub & Support: Access to wellness resources and a dedicated Employee Assistance Programme offering free, confidential support 24/7.
* Recognition & Celebrations: Your achievements are our success. With a recognition programme and regular celebrations, we ensure every success is shared and appreciated.
Pandora’s recruitment procedures are designed to be transparent and clear for all candidates. This helps us ensure that applicants are provided with a fair and equal opportunity to demonstrate their competencies and skills by removing blocking factors, possible biases, and risks of discrimination. We encourage everyone applying to our vacancies to refrain from adding identity‑related elements such as a photo, marital status and age.
* If you require reasonable adjustments in place during your interview(s), please make us aware as soon as possible *
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