

Lorien
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and is located in "unknown." Key skills include Python, Spark, and data integration. Strong experience in data engineering and governance is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 29, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Python #Leadership #Data Pipeline #Data Lifecycle #Spark (Apache Spark) #Cloud #Data Integration #Data Engineering
Role description
Lead Data Engineer
Fix complex data problems that actually matter
We’re hiring a Lead Data Engineer to join a growing enterprise data capability in a hands‑on technical leadership role — no line management.
You’ll work across legacy systems and modern cloud, tackling real‑world complexity and delivering robust, production‑grade data solutions.
🔍 Why this role?
This is about doing, not directing.
You’ll lead through technical credibility, problem‑solving, and delivery — not hierarchy.
⚙️ What you’ll do
• Design and build enterprise‑scale data pipelines and services
• Own work end‑to‑end (problem → build → production)
• Work with stakeholders to turn messy realities into usable data solutions
• Improve data integration, quality, and governance
• Solve complex issues across imperfect and legacy environments
✅ What you’ll bring
• Strong experience as a Senior / Lead Data Engineer
• Expertise in Python, Spark, and production data pipelines
• Deep understanding of data lifecycle & integration
• Experience with data modelling, governance, and quality
• A pragmatic, hands‑on mindset with strong ownership
👉 If you enjoy rolling up your sleeves and solving complex data challenges — apply now.
Lead Data Engineer
Fix complex data problems that actually matter
We’re hiring a Lead Data Engineer to join a growing enterprise data capability in a hands‑on technical leadership role — no line management.
You’ll work across legacy systems and modern cloud, tackling real‑world complexity and delivering robust, production‑grade data solutions.
🔍 Why this role?
This is about doing, not directing.
You’ll lead through technical credibility, problem‑solving, and delivery — not hierarchy.
⚙️ What you’ll do
• Design and build enterprise‑scale data pipelines and services
• Own work end‑to‑end (problem → build → production)
• Work with stakeholders to turn messy realities into usable data solutions
• Improve data integration, quality, and governance
• Solve complex issues across imperfect and legacy environments
✅ What you’ll bring
• Strong experience as a Senior / Lead Data Engineer
• Expertise in Python, Spark, and production data pipelines
• Deep understanding of data lifecycle & integration
• Experience with data modelling, governance, and quality
• A pragmatic, hands‑on mindset with strong ownership
👉 If you enjoy rolling up your sleeves and solving complex data challenges — apply now.





