Senior Data Engineer: Azure Databricks & Data Platforms

Pandora A/S; Greater London; Hybrid; GBP 90,000 - 125,000; Full time

Benefits offered by this job

Hybrid Working Flexibility

Private Healthcare

Annual Leave 25 days

Job summary

Pandora A/S in London is hiring a Senior Data Engineer to own data products end-to-end on an Azure Databricks-based platform. You will design scalable data products, mentor engineers, and collaborate with product teams to deliver analytics and AI-ready pipelines.

The role emphasizes hands-on work with Databricks, Spark, and cloud data platforms, plus strong SQL and Python skills. A hybrid office/remote setup is provided to support agile product development.

Qualifications

• 5+ years of experience in data engineering or software engineering with a data focus.
• Hands-on experience with Azure Databricks and Spark in production environments.
• Experience designing, building, and operating production-grade data pipelines on cloud platforms (Azure preferred).
• Strong SQL skills and experience with analytical data models and data warehouses.
• Proficiency in Python (Scala is a plus).
• Solid engineering discipline: CI/CD, testing, Git, and modern DevOps practices for data engineering.
• Experience delivering enterprise-grade data products used by multiple stakeholders.
• Excellent communication with product owners and engineers; able to explain designs to technical and non-technical audiences.
• Experience with Azure Synapse (serverless or dedicated SQL pools) and hybrid Databricks/Synapse architectures.
• Relevant education in Computer Science, Mathematics, Economics, Information Management, Statistics, or similar.
• Fluent English communication skills and an Agile mindset; Scrum-based teamwork.
• Proactive, can-do mindset and eagerness to grow in a fast-moving AI-driven data environment.

Responsibilities

• Lead end-to-end ownership of data products within a product team.
• Design scalable, efficient, and stable data products with your team.
• Mentor data engineers and raise engineering standards.
• Ingest large, complex data sets; automate processes and improve data delivery and quality.
• Improve data quality, observability, and reliability across pipelines and products.
• Balance speed and quality in a product-focused engineering culture.
• Collaborate with stakeholders and translate requirements into designs and data models.

Skills

Azure Databricks

Spark

Data pipelines

Python

SQL

CI/CD

Git

Agile

Azure Synapse

Cloud platforms

Communication

English

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Docker

Kubernetes

Job description

Pandora A/S in London is hiring a Senior Data Engineer to own data products end-to-end on an Azure Databricks-based platform. You will design scalable data products, mentor engineers, and collaborate with product teams to deliver analytics and AI-ready pipelines.

The role emphasizes hands-on work with Databricks, Spark, and cloud data platforms, plus strong SQL and Python skills. A hybrid office/remote setup is provided to support agile product development.