Engineer
London, GB
Applications have closed
Job Title: Data Engineer
Location: London, Hybrid
Department: Marketing Analytics Engineering, Data & Analytics
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.
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 jewellery brand?
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 organisation. 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 play a critical role in developing and maintaining robust data pipelines in both Azure Synapse and Databricks. Joining our 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 behaviour) 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 modelling 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?
You will be joining the team at our brand-new London Digital Hub, which is located a stone’s throw from London’s iconic Oxford Street, at the heart of the city. The London Hub is growing at a faster pace than ever, and your role will be part of the first waves of new, exciting talents we are introducing to the team. At the London Hub, we like to keep things flexible – this hybrid role is an example of that, with two days working from the office and three days working from home, so you can choose what works for you.
Our generous benefits package includes:
- A highly competitive salary with regular salary reviews
- Generous bonus scheme
- Private healthcare
- 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!)
- 55% employee discount
- 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
Did we get your attention?
We hope you got all your questions answered and feel confident applying for this position, however if you have more questions regarding the position, please contact:
Joe McBrien, TA Specialist, Global Office @jomcb@pandora.net
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!
We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site www.pandoragroup.com.
About Pandora
Established in 1982, Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora’s products are available in more than 100 countries on six continents through more than 6,500 points of sale, including around 2,500 concept stores.
Headquartered in Copenhagen, Denmark, Pandora employs 32,000 people worldwide and crafts its jewellery at two LEED certified facilities in Thailand, using mainly recycled silver and gold. The company plans to be carbon neutral by 2025 and has joined the Science Based Targets initiative to reduce emissions across its full value chain. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated a revenue of DKK 28.1 billion in 2023.
At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people’s loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued.
If you are looking for a new challenge, come and craft the incredible with us!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure CI/CD Databricks Data pipelines Data quality DevOps Engineering ETL Git Machine Learning .NET Pipelines PySpark Python Spark SQL Streaming
Perks/benefits: Career development Competitive pay Equity / stock options Fitness / gym Flex hours Flex vacation Salary bonus Startup environment Wellness
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