Senior Data Engineer (Python/Databricks)

Location: London, United Kingdom; based at the London HQ office.

Company

hirify.global is an online fashion retailer building technology and customer experiences for millions of customers worldwide.

What you will do

• Design and build scalable data pipelines supporting machine learning, analytics and data science initiatives.
• Develop high-performance data solutions using Python, Spark, Databricks and Azure technologies.
• Create and maintain datasets for customer, marketing, pricing, forecasting, personalisation and media measurement use cases.
• Collaborate with Applied Scientists and Machine Learning Engineers to operationalise machine learning models.
• Design data models and architectures while improving data quality, observability, lineage and monitoring.
• Provide technical leadership through design reviews, mentoring, knowledge sharing and stakeholder collaboration.

Requirements

• Significant experience delivering data engineering solutions in cloud-based environments.
• Strong Python expertise and experience building production-grade data pipelines and data products.
• Experience with Databricks, Spark and distributed processing technologies.
• Experience designing and operating large-scale data platforms using Azure, AWS or GCP.
• Strong knowledge of data modelling, data architecture, CI/CD, Infrastructure as Code, automated testing and observability.
• Experience enabling data science or machine learning workloads, mentoring engineers and leading complex technical solutions into production.

Nice to have

• Experience with MLOps, machine learning platforms or model operationalisation.
• Experience with pricing, marketing analytics, recommendation systems or customer analytics.
• Experience in eCommerce, retail or consumer-facing digital businesses.

Culture & Benefits

• Inclusive, collaborative and authentic working environment focused on customer impact, innovation and evidence-based decisions.
• Employee discount, sample sales and a discretionary bonus scheme.
• 25 days of annual leave plus an additional celebratory day.
• Private medical care, pension contributions matched up to 5% and flexible benefits allowance.
• Personalised learning opportunities, summer hours and a shuttlebus between Watford station and the Leavesden office.