Role: Lead Data Engineer

Salary: £50,000

Location: Manchester or London

Shape the Platform, Own the Complexity

We’re engaging a key telecommunications client who’s embarking on a transformation—building a brand-new data infrastructure from scratch. They're seeking aData Engineertodesign and validate a complete data stack, with full platform/tool autonomy—no vendor lock-in, no pre-decided architecture.

What makes this role standout:

Shape the Platform from the Ground Up

The engineer gets true ownership over technical decisions supported by the head of Data. you will be supporting the full redeisgn rom data ingestion, streaming, transformation, to storage and query layers. They’ll experiment, benchmark, and choose what fits best for scale, cost-efficiency, and future flexibility. As Telecom systems are inherently fragmented with legacy ETL, batch and real-time feeds, billing, network logs, customer behavior. This engineer will consolidate those sources into a high-performance, unified platform that serves analytics and ML across millions of users.

Role Scope:

Build scalable batch and streaming pipelines integrating diverse telco datasets.
Evaluate and recommend tools like Spark, Kafka, Lakehouse frameworks (e.g. Iceberg), Databricks, etc.
Implement CI/CD, monitoring, and data‑quality frameworks for reliable operations.
Collaborate across customer‑facing, billing, and network teams to translate data needs into platform capabilities.

Ideal Candidate Profile:

3+ years in data engineering or platform development in large-scale, complex environments.
Deep coding skills in Python, SQL, Scala, or Java.
Hands-on experience with big data frameworks and cloud platforms (AWS/GCP/Azure); familiar with infrastructure-as-code.
A passion and aptitude for handling system complexity—bringing structure, clarity, and performance to chaotic data pipelines.

Why This Matters to Your Team:

You’ll become the owner of an enterprise-grade data stack built from zero—your choices and implementations shape the platform’s trajectory.
Deliver measurable improvements: faster, more reliable analytics; reduced processing overhead; significant strategic uplift across business functions.
Be recognized as the technical leader guiding the company’s data capabilities into its next phase.

Do not hesitate to find out more