Data Engineer, Synapse
Copenhagen V, DK
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?
Build high quality data and BI products on our Azure Paas data platform
At Pandora we are growing our Data & Analytics footprint. As our new data engineer you will collaborate with product managers, architects and other key profiles across the global organisation. You will help business verticals and clusters maximising the value of our data and drive business change as an impact of this.
Your primary focus will be building and implementing scalable data products on our global data platform together with other smart engineers in the organization.
Further to this you will:
- Work closely with your colleagues within a product team to design scalable, efficient and stable products
- Work closely with product managers to build and deliver features designed to support PANDORA to drive commercial business cases and efficiencies within reporting and analytics and other data driven use cases
- 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.
- Own your data products and track continuous stability and benefits
- Live and breathe “build-once-consume-many” culture in which we enable others to use our data products for maximum value-add
- Work with stakeholders and teams to assist with data-related technical challenges
- Follow best practice and existing guidelines but also push the limits
- Thrive in a fast-paced environment and you get motivated by challenges as a true problem solver.
We are on a journey from IaaS based Microsoft solutions to Azure PaaS with use of well-known tools and solutions like Synapse, ADF, Data Lake, DataBricks and Azure Analysis Services.
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 have the ability to explain your solution design and tailor the message according to the audience.
You’re perfect for this role if you have:
- Relevant education in Computer Science, Mathematics, Economics, Information Management, or Statistics
- 5+ years of experience as a Data Engineer or in Software engineering role with focus on data
- Proven experience with Synapse, ADF, Data Lake, DataBricks, T/U-SQL, DAX and SQL Server
- Experience with at least one object oriented or functional/scripting languages – Java, Scala, Python etc.
- DevOps and CI/CD focus
- Hands-on with git and coding best practice
- Unit testing
- Experience in working with relational data sets using SQL
- Experience with data warehousing, dimensional modelling and cubes
- Experience in building, and optimizing data pipelines, architectures, and datasets
- Experience in working with Azure, AWS or other cloud providers
- Designed, built and delivered production ready data products at an enterprise level
- Highly proficient in English and able to communicate with all levels
- Agile mindset and experience with Scrum
It’s a plus if you have worked with:
- Big data: Spark, Hadoop
- Stream-processing systems: Kafka or Spark Streaming
Your new team
You will be an essential part of the data engineering organization and Pandora’s extended Data & Analytics community. You will work within the data product engineering team in a hybrid onsite and online team.
As we are a growing team, you will have the chance to influence our culture and working tools and work together with other data engineers, visualization specialists, architects, scrum masters, product managers and much more from Europe, India and Thailand.
Did we get your attention?
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.
Icing on the cake:
You will be working out of our beautiful Head Office in Copenhagen V, established in 2016 and designed to unite and inspire our teams. Besides our beautiful interior design we are also proud of our LEED Gold Certification for Energy and Environmental Design. This means that we use as few natural resources as possible and that we use them with respect. The result is a professional and dynamic space that is unique, comfortable and inspirational – and delivers a true Pandora experience to anyone who works here or comes to visit.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data CI/CD Computer Science Databricks Data pipelines Data quality Data Warehousing DevOps Economics Engineering Git Hadoop Java Kafka Mathematics Pipelines Python Scala Scrum Spark SQL Statistics Streaming Testing
Perks/benefits: Startup environment
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