Senior Data Platform Engineer – Security Analytics (Hybrid)

Tesco Technology

Welwyn Garden City

Hybrid

GBP 85,000 - 120,000

Full time

10 days ago

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Benefits offered by this job

Annual bonus up to 20%
Private medical insurance
26 weeks maternity/adoption leave with
24/7 virtual GP & EAP

Job summary

Tesco is seeking a Senior Data Platform Engineer to lead the design, build and maintenance of a robust data platform for advanced analytics, ML and GenAI in cybersecurity contexts.

You will architect real-time and batch data pipelines, integrate data from diverse security sources, and mentor junior engineers while collaborating across departments to deliver secure, scalable data services.

Qualifications

  • Solid programming experience in Python and SQL.
  • Experience building data platforms on cloud services (Databricks on Azure or GCP BigQuery).
  • Knowledge of big data technologies (Spark, Flink).
  • Solid grasp of Kubernetes, CI/CD and Terraform.
  • Experience with ETL/ELT and orchestration tools like Airflow and dbt.
  • Ability to guide and empower junior team members.
  • Familiarity with machine learning and AI tools is desirable.

Responsibilities

  • Design, build and manage realtime, near realtime and batch data architectures for threat detection and reporting.
  • Implement automated data integration pipelines from various security sources into the data lake.
  • Contribute to high-quality code through reviews and mentorship.
  • Implement automation and DevOps practices for deployment and management of data platform components.
  • Collaborate with cross-functional teams and communicate complex concepts clearly.

Skills

Python
SQL
Databricks
Spark
Flink
Kubernetes
Terraform
Airflow
dbt
CI/CD

Tools

Azure Databricks
Azure
GCP BigQuery
Spark
Flink
Kubernetes
Airflow
dbt
Terraform
CI/CD

Job description

Tesco is seeking a Senior Data Platform Engineer to lead the design, build and maintenance of a robust data platform for advanced analytics, ML and GenAI in cybersecurity contexts.

You will architect real-time and batch data pipelines, integrate data from diverse security sources, and mentor junior engineers while collaborating across departments to deliver secure, scalable data services.

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