Data Engineer

Pandora A/S
London
GBP 60,000 - 80,000
Job description

Reports To: Data Engineering Manager

At Pandora, we are transforming the retail experience with cutting-edge technology. Our mission is to provide an exceptional shopping experience to our customers by leveraging data-driven insights and innovative solutions. We are looking for a talented Data Engineer to join our dynamic team and help us shape the future of retail.

As our new Data Engineer, you will play a crucial role in designing, building, and maintaining the data infrastructure that supports our analytics and machine learning initiatives. You will work closely with product owners, architects, data scientists, and business stakeholders across the global organization. You will help enable the company to make data-driven decisions, improve operational efficiencies, and enhance customer experiences.

As a Data Engineer within our Data & Analytics – Marketing Analytics Engineering team, you will contribute to building a solid foundation for our data infrastructure, supporting our marketing analytics organization's goal of becoming more data-driven and customer-centric. You will collaborate closely with cross-functional teams, helping to drive impactful data product deliveries and optimizing our analytical framework for scalable insights globally.

Experience:

  • 4+ years of experience as a Data Engineer, ETL Developer, or similar role.
  • Experience in the retail industry or with retail-specific data (e.g., sales, inventory, customer behavior) is a plus.

Your key accountabilities will be to:

  • Develop and maintain data products and pipelines in Databricks, Azure Data Factory, and Azure Synapse Analytics.
  • Communicate with stakeholders and users of our data products by understanding their problems and supporting them in their needs.
  • Optimize data pipelines for performance and scalability, automating repetitive tasks to improve efficiency and reduce the time from data ingestion to actionable insights.
  • Implement and maintain data quality processes, including data validation, cleansing, and error handling, to ensure high data integrity across all systems.
  • Improve existing data integration processes to provide better reliability and robustness.
  • Partner with product managers, analysts, and business stakeholders to understand data requirements, provide data engineering support, and ensure data is accessible and usable for analysis and reporting.
  • Stay up-to-date with the latest trends and best practices in data engineering, bringing innovative ideas and solutions to improve our data infrastructure and capabilities.

What is needed to succeed:

Technical skills:

  • Problem-solving team player with an analytical mind.
  • Strong knowledge of SQL and Spark SQL.
  • Understanding of dimensional data modeling concepts.
  • Experience with Azure Synapse Analytics.
  • Understanding of streaming data ingestion processes.
  • Ability to develop/manage Apache Spark data processing applications using PySpark on Databricks.
  • Experience with version control (e.g., Git), DevOps, and CI/CD.
  • Experience with Python.
  • Experience with Microsoft data platform, Microsoft Azure stack, and Databricks.
  • Experience in marketing is a plus.

Soft Skills:

  • Strong problem-solving skills and the ability to work independently as well as part of a team.
  • Excellent communication skills, with the ability to translate technical concepts into business-friendly language.
  • Detail-oriented with a commitment to delivering high-quality, reliable data solutions.

What can we offer you?

  • A highly competitive salary with regular salary reviews.
  • Choice of lunch on us, delivered to you whenever you are in the office!
  • Early finish Fridays (weekends with Pandora start every Friday at 3pm!).
  • 25 days annual leave (plus bank holidays).
  • Buy/sell holiday options.
  • Celebrate your birthday with a day off to celebrate!
  • Pandora Perks: access our exclusive online platform provided by Reward Gateway, where you’ll have access to discounts on retail brands, cinema tickets, holidays, gym memberships, and more.
  • Wellness Hub: videos to help you lead a healthy lifestyle.
  • Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round.
  • Recognition programme: celebrate and share achievements with the wider business.
  • At Pandora, we love a party! Especially at Christmas, when you will receive an extra special gift.

If you see yourself in the position and would like to become a part of Pandora’s future, please do not hesitate to apply. We look forward to hearing from you!

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