Tech Lead, Data Engineering — Scale ML-Driven Data Platforms

Plentific; Greater London; On-site; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation package

25 days annual holiday

Flexible working environment

Private health care

Enhanced parental leave

Life insurance

Employee assistance program

Company volunteering day

Learning management system

Referral bonus

Company-sponsored social gatherings

Fully stocked kitchen

Job summary

A pioneering real estate technology company based in London is seeking a Tech Lead - Data Engineering to spearhead their data platform. The successful candidate will take ownership of data ingestion, modeling, and transformation, ensuring robust and reliable systems. With responsibilities spanning architecture, technical leadership, and hands-on delivery, this role is ideal for someone with a strong software engineering foundation and machine learning exposure. Join us to shape a transformative journey in property management.

Qualifications

• Proven experience as a Tech Lead or Principal Engineer with complex systems.
• Deep experience in Python programming and production-grade practices.
• Experience with machine learning systems and enabling ML in production.

Responsibilities

• Own the Data Platform, including ingestion, storage, and transformation.
• Lead the design of distributed data systems ensuring clean integration.
• Work closely with teams for ML-powered product features.

Skills

Architectural Mindset

Strong Software Engineering Foundations

Machine Learning Exposure

Database & Storage Expertise

ETL/ELT & Orchestration

Engineering Rigor

Engineering Judgement

Analytical Depth

Tools

Python

SQL

Pandas

Snowflake

Airflow

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Job description

A pioneering real estate technology company based in London is seeking a Tech Lead - Data Engineering to spearhead their data platform. The successful candidate will take ownership of data ingestion, modeling, and transformation, ensuring robust and reliable systems. With responsibilities spanning architecture, technical leadership, and hands-on delivery, this role is ideal for someone with a strong software engineering foundation and machine learning exposure. Join us to shape a transformative journey in property management.