Senior Data Engineer: Platform & Analytics Leader

Sky; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading telecommunications company in London is seeking a Sr. Data Engineer to influence the strategy and development of their data platform. The ideal candidate will possess a graduate degree in Computer Science, deep expertise in cloud infrastructure (GCP/AWS), and advanced skills in Python and SQL. Responsibilities include leading technical decisions, defining the data platform roadmap, and overseeing the end-to-end delivery of data processing. This role offers competitive benefits and a hybrid working model.

Benefits

Private healthcare

Generous pension package

Discounted mobile and broadband

Sky Q and Sky Glass at exclusive rates

Qualifications

• Graduate degree (BSc) in Computer Science or related field.
• Deep expertise in cloud architecture (GCP/AWS) using Terraform and Git.
• Advanced proficiency in Python and SQL for ETL/ELT pipelines.
• Extensive experience managing diverse data ecosystems.
• Hands-on experience implementing data governance and security.

Responsibilities

• Lead technical decisions shaping the data platform's vision.
• Define and deliver data platform roadmap in collaboration with stakeholders.
• Oversee end-to-end data processing capabilities delivery.
• Drive continuous improvement and innovation in data engineering.
• Implement robust data lifecycle management for quality and compliance.

Skills

Cloud infrastructure design

Collaboration and leadership

Data engineering best practices

Problem-solving in dynamic environments

Adaptability

Education

Graduate degree in Computer Science or related field

Tools

Python

SQL

GCP

Terraform

Apache Airflow

Kafka

Job description

A leading telecommunications company in London is seeking a Sr. Data Engineer to influence the strategy and development of their data platform. The ideal candidate will possess a graduate degree in Computer Science, deep expertise in cloud infrastructure (GCP/AWS), and advanced skills in Python and SQL. Responsibilities include leading technical decisions, defining the data platform roadmap, and overseeing the end-to-end delivery of data processing. This role offers competitive benefits and a hybrid working model.