Data Engineer Modelling ; DE

Data Engineer with Modelling Experience (DE)

London, United Kingdom

Nextlink is seeking a skilled Data Engineer with strong modelling experience across data warehouse and graph paradigms. The ideal candidate is proficient across the GCP data stack, CI/CD pipelines, infrastructure-as-code, and data governance tooling, and can operate independently in a complex cloud-native environment.

Nextlink is seeking an experienced Data Engineer with strong expertise in data warehouse and graph data modelling to design, develop, and maintain scalable data solutions within a cloud-native Google Cloud Platform (GCP) environment. The successful candidate will possess hands‑on experience across the GCP data ecosystem, modern data engineering frameworks, CI/CD automation, infrastructure-as-code, and data governance practices.

This role requires a self‑driven professional who can collaborate effectively with business and technical stakeholders, translate complex business requirements into robust data solutions, and contribute to the delivery of large‑scale enterprise data initiatives.

• Design, develop, and maintain scalable data pipelines and transformation frameworks.
• Build and optimize data processing solutions using Big Query, Dataform, and Python.
• Develop, schedule, and monitor Apache Airflow DAGs within Google Cloud Composer.
• Implement and maintain CI/CD pipelines using Git Lab.
• Create, deploy, and manage Terraform modules for infrastructure provisioning and automation.
• Design and maintain enterprise data models across data warehouse and graph databases.
• Develop and manage Cloud Spanner schemas, queries, indexes, and data structures.
• Implement data governance, metadata management, and data quality practices within Google Cloud.
• Integrate and manage datasets using Google Cloud Storage (GCS), Big Query, Pub/Sub, and associated GCP services.
• Collaborate with solution architects, business analysts, and stakeholders to understand requirements and translate them into technical solutions.
• Support platform scalability, performance optimization, and operational excellence initiatives.
• Participate in code reviews, design reviews, and continuous improvement activities.

• Strong hands‑on experience with Google Cloud Platform (GCP).
• Experience designing and managing cloud‑native data platforms.
• Understanding of GCP security, IAM controls, and best practices.
• Experience integrating GCP services including:
  • Big Query
  • Cloud Storage (GCS)
  • Cloud Composer
  • Pub/Sub
  • Cloud Spanner
  • Dataform

• Advanced SQL development skills including:
  • Window Functions
  • Arrays and Structs
  • Common Table Expressions (CTEs)
  • DDL and DML Operations
  • User Defined Functions (UDFs)
• Strong experience with Big Query performance optimization.
• Knowledge of:
  • Table partitioning and clustering
  • Query optimization techniques
  • Big Query pricing models (On‑Demand vs Capacity/Slots)
• Experience using Dataform for data transformation and modelling.
• Knowledge of Big Query IAM and security controls.
• Experience implementing:
  • Data Catalog / Knowledge Catalog
  • Metadata management
  • Policy tagging
  • Data quality frameworks
  • Data contracts and governance standards
• Experience consuming APIs and GraphQL services.

• Strong Python programming skills for data engineering and automation.
• Knowledge of Python libraries and frameworks commonly used within cloud data platforms.

The successful candidate must demonstrate strong expertise in:

• Data Warehouse Modelling
• Normalization and Denormalization techniques
• Slowly Changing Dimensions (SCD)
• Medallion Architecture
• Business Requirement Analysis and Model Translation

• Hands‑on experience creating and managing Apache Airflow DAGs.
• Experience deploying workflows in Google Cloud Composer.
• Integration experience with:
  • Big Query
  • Google Cloud Storage (GCS)
  • Dataform
• Knowledge of workflow orchestration, monitoring, troubleshooting, and optimization.
• Experience managing bucket structures and storage design.
• Understanding of:
  • Storage classes
  • Object lifecycle management
  • Retention policies
• Knowledge of IAM‑based access management and security controls.
• Strong understanding of source control…