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SMG

Lead Data Engineer

SMG

Lead Data Engineer at SMG, designing high-performing data platforms and mentoring a team. Shape data integration and governance to enable analytics and AI across retail partners.

Posted 5/9/2026full-timeLondon • 🇬🇧 United KingdomSenior💰 £70,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudPythonSparkSQLTerraform

About the role

Key responsibilities & impact
  • Lead the design, delivery and evolution of scalable, secure, and high-performing data platforms
  • Shape how data is integrated, governed and activated across the business
  • Enable analytics, AI and commercial decision-making at scale
  • Collaborate with BI, Analytics, Product and AI teams to deliver reliable data products
  • Drive data platform observability, monitoring, lineage and SLA reporting
  • Support secure data sharing, governance, and compliance with internal and client requirements

Requirements

What you’ll need
  • Strong experience in data engineering or data platform roles with hands-on expertise in SQL, Python and distributed processing frameworks (e.g. Spark)
  • Proven track record designing and operating modern cloud data platforms (e.g. Snowflake, Databricks)
  • Deep understanding of cloud environments (Azure/AWS) and associated data services
  • Experience implementing secure data practices including access control, encryption, and audit logging
  • Knowledge of CI/CD, infrastructure-as-code (e.g. Terraform), and Git-based workflows
  • Experience building high-quality, well-documented data products for analytics and BI use cases
  • Strong stakeholder communication skills, with the ability to translate technical concepts into business value
  • Experience mentoring or leading engineers while remaining hands-on with development

Benefits

Comp & perks
  • 10% discretionary bonus
  • £1,800 yearly wellbeing fund (on top of your salary!)
  • Free Headspace subscription
  • £500 yearly “Learning Fund” for learning
  • 4 extra Wellbeing Days off per year
  • 4pm finishes every Friday
  • Flexible and hybrid working

ATS Keywords

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Hard Skills & Tools
SQLPythonSparkSnowflakeDatabricksAzureAWSCI/CDinfrastructure-as-codeTerraform
Soft Skills
stakeholder communicationmentoringleadershipcollaborationtranslating technical concepts