MTN Industrial

Data Engineer

• Manage, coach and develop the data engineer on your team, with regular one to ones and clear goals
• Set standards for code review, testing, documentation and data on-call
• Plan the team's work with Engineering, Finance and Product
• Help shape the team as it grows, including hiring
• Own Trolley's Databricks lakehouse end to end: ingestion, modelling, quality and cost
• Build and run pipelines from the production platform, Salesforce, NetSuite and third-party sources
• Keep internal reporting in Sigma accurate, fast and self-serve
• Make pipelines observable and recoverable
• Run data behind month-end close, revenue calculations and vendor cost reconciliation
• Support audits and year-end reconciliation
• Build and improve customer-facing data products, including the data connector and embedded reporting
• Work on data features such as fraud and risk signals
• Build data foundations for safe AI tools and agents
• Use AI to build, test and document pipelines faster
• Identify and evidence opportunities for data and AI to improve the product and team workflows
• Bring Jira and GitHub data into the warehouse to measure engineering delivery
• Apply data management and privacy policies, partnering with InfoSec and Compliance on access, retention and audit requirements

Explore Lead Data Engineer at MTN Industrial. Review requirements and application details.

Lead Data Engineer

• Manage, coach and develop the data engineer on your team, with regular one to ones and clear goals.
• Set standards for code review, testing, documentation and data on-call.
• Plan the team's work with Engineering, Finance and Product.
• Help shape the team as it grows, including hiring if and when the time comes.
• Own Trolley's Databricks lakehouse end to end: ingestion, modelling, quality and cost.
• Build and run pipelines from the production platform, Salesforce, NetSuite and third-party sources.
• Keep internal reporting in Sigma accurate, fast and self-serve.
• Make pipelines observable and recoverable.
• Run data behind month-end close, revenue calculations and vendor cost reconciliation.
• Support audits and year-end reconciliation with trusted data.
• Build and improve customer-facing data products, including the data connector and embedded reporting.
• Work with Engineering and Product on fraud and risk signal features.
• Build data foundations for safe AI tools and agents.
• Use AI to build, test and document pipelines faster.
• Identify and demonstrate product and workflow improvements enabled by data and AI.
• Bring tools such as Jira and GitHub into the warehouse to measure engineering delivery.
• Apply data management and privacy policies, partnering with InfoSec and Compliance on access, retention and audit requirements.

• Manage, coach and develop the data engineer on the team
• Set standards for code review, testing, documentation and data on-call
• Plan team work with Engineering, Finance and Product
• Help shape and grow the team, including hiring when needed
• Own the Databricks lakehouse end to end, including ingestion, modelling, quality and cost
• Build and run pipelines from the production platform, Salesforce, NetSuite and third-party sources
• Maintain accurate, fast and self-serve internal reporting in Sigma
• Make pipelines observable and recoverable
• Run data supporting month-end close, revenue calculations and vendor cost reconciliation
• Support audits and year-end reconciliation
• Build and improve customer-facing data products, including data connectors and embedded reporting
• Partner with Engineering and Product on fraud and risk data features
• Build data foundations for safe use by AI tools and agents
• Use AI to build, test and document pipelines faster
• Identify and support product and team improvements using data and AI
• Bring Jira and GitHub data into the warehouse to measure engineering delivery
• Apply data management and privacy policies
• Partner with InfoSec and Compliance on access, retention and audit requirements

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Lead Data Engineer

Lead Data Engineer

Lead Data Engineer