Data Engineer & AI & Analytics Platform

Datashrubs Technologies Ltd; Remote; GBP 60,000 - 80,000; Full time

Job summary

A leading tech company in the United Kingdom is seeking a Data Engineer to build and maintain data infrastructure and pipelines for their global marketplace. The ideal candidate will have over 5 years of experience in Data Engineering, with strong skills in Python and SQL. Responsibilities include designing ETL/ELT pipelines, data warehousing for revenue analytics, and enabling ML/NLP workflows. This role involves implementing data governance and delivering trusted analytics for decision-making.

Qualifications

• 5+ years in Data Engineering or Analytics Engineering.
• Strong record of building production-grade pipelines and warehouses.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines using Python and SQL.
• Build data warehouse models for revenue, users, and product analytics.
• Enable ML/NLP workflows with clean, feature-ready datasets.
• Deliver trusted data to BI dashboards and optimize performance.
• Implement data quality, security, and governance controls.

Skills

Python

SQL

Data Modeling

Tools

Airflow

dbt

Snowflake

BigQuery

Redshift

AWS

GCP

Azure

Power BI

Tableau

Looker

Job description

We are looking for a Data Engineer to build and scale the data infrastructure, pipelines, and AI-ready architecture powering our global engineering marketplace, revenue intelligence, and product analytics.

This role ensures accurate GMV/revenue data, real-time analytics, and ML/NLP-ready datasets for decision-making and investor reporting.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines using Python and SQL
• Build data warehouse models for revenue, users, and product analytics
• Enable ML/NLP workflows with clean, feature-ready datasets
• Deliver trusted data to BI dashboards and optimize performance
• Implement data quality, security, and governance controls

Required Experience

• 5+ years in Data Engineering or Analytics Engineering
• Strong record of building production-grade pipelines and warehouses

Technical Skills

• Python, SQL, data modeling
• Airflow/dbt, modern data warehouses (Snowflake/BigQuery/Redshift)
• AWS/GCP/Azure cloud environments
• Exposure to ML/NLP data preparation and BI tools (Power BI/Tableau/Looker)