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Pandora

Senior Data Engineer

London
Posted about 14 hours ago
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Are you passionate about data engineering and do you 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.

We are hiring a Senior Data Engineer, embedded directly in a product team:

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
  • Ingest large, complex data sets, automate manual processes, optimize data delivery, improve data quality, etc.
  • 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

We are building on an Azure Databricks-first data platform, moving away from legacy IaaS-based solutions. Databricks, Spark, and modern data engineering practices are central to how we design, build, and scale data products going forward.

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:

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • 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
  • Fluent English communication skills
  • 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.

Craft Your Future with Pandora: A Career Built Around You

At Pandora, your career is a journey of growth, development, and limitless potential. We believe in empowering you to shape your own path and craft your own incredible.

What We Offer

Our focus is on offering you a career that’s as unique as you are. We provide the tools, opportunities, and support you need to thrive:

  • 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.

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At Pandora, we believe in creating not just a job, but a journey of fulfillment, growth, and success. If you’re ready to take the next step in crafting your incredible career, join us and let’s build something extraordinary together.

Your future is waiting – craft the incredible with Pandora!

Please understand that due to the large number of applications, we regret that only online applications can be considered. Please click apply to submit your application.

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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Skills

Azure Databricks
Spark
Python
SQL
Data engineering
Data pipeline architecture
Cloud platforms
Azure Synapse
CI/CD
Git
DevOps
Analytical data modeling
Stakeholder management
Agile
Scrum
Data quality

Location

London, UK

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