Senior Data Engineer

PANDORA; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid Working

Private Healthcare

Annual Leave 25 days

Employee Discounts

Job summary

Pandora in London is seeking a Senior Data Engineer to own critical data products on an Azure Databricks-based platform. You will work with product teams and lead data engineers to improve data quality, observability and scalability.

The role emphasizes design of production-grade data pipelines, collaboration with stakeholders, and mentorship in a hybrid work environment with cutting-edge cloud data technologies.

Qualifications

• 5+ years of experience in data engineering or software engineering with a strong data focus.
• Strong SQL skills and experience with analytical data models and data warehouses.
• Experience designing and operating production-grade data pipelines on cloud platforms (Azure preferred).
• Proficiency in Python; Scala is a plus.
• Solid CI/CD, testing, Git and modern DevOps practices for data engineering.
• Experience delivering enterprise-grade data products used by multiple stakeholders.
• Fluent English communication skills
• Agile mindset and Scrum experience
• Proactive, adaptable in a fast-moving AI-driven data environment

Responsibilities

• Design scalable, efficient and stable data products within a product team.
• Mentor data engineers and lead technical ownership of complex data products.
• Create and maintain high-quality data pipeline architecture.
• Ingest large data sets, automate processes and improve data quality.
• Improve data quality, observability and reliability across pipelines.
• Collaborate with stakeholders to solve data-related challenges and define best practices.

Skills

Azure Databricks

Spark

SQL

Python

CI/CD

DevOps

English

Agile/Scrum

Docker

Kubernetes

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Synapse

Job description

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?

Asour 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:

• 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:

Nice to have if you 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.

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!

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