Data Engineer

Principle HR; Greater London; Ibrido; GBP 61.000 - 75.000; Tempo pieno

Descrizione del lavoro

Principle HR in London is seeking a Data Engineer to join a leading global technology company. The role focuses on data infrastructure, analytics and security reporting. Hybrid work with three days onsite.

The ideal candidate has strong SQL and Python skills, experience building end-to-end data pipelines, and can turn complex datasets into business insights. You will own independent engineering projects and contribute to critical metrics.

Competenze

• 4+ years of relevant data engineering or analytics engineering experience.
• Advanced SQL skills with complex queries and performance tuning.
• Hands-on Python programming for data pipelines.
• Experience building production ETL/ELT pipelines.
• Experience creating dashboards and data visualisations.
• Experience using AI coding tools in workflows.
• Understanding of data modelling and analytics infrastructure.
• Ability to troubleshoot issues and deliver independently.

Mansioni

• Design, develop and optimise end-to-end ETL/ELT data pipelines.
• Write complex SQL queries for data extraction, transformation and performance.
• Use Python to develop and maintain scalable data processes.
• Build reporting datasets, dashboards and visualisations to track metrics.
• Develop data models and infrastructure supporting reliable analytics.
• Use AI-assisted coding tools to improve productivity.
• Investigate data issues, debug pipelines and implement data quality checks.
• Collaborate with cross-functional teams to translate requirements into data solutions.
• Independently deliver engineering projects from design through implementation.

Conoscenze

Advanced SQL

Python programming

ETL/ELT pipelines

Data dashboards

Data modelling

Data quality

Troubleshooting

Strumenti

AI coding tools

Descrizione del lavoro

Data Engineer

• Contract: 7 months | ASAP start

• Salary: £68,000 per annum + 10% bonus

• Location: London | Hybrid, 3 days onsite

We are recruiting a Data Engineer to join a leading global technology company in London, supporting a high-impact team focused on data infrastructure, analytics and security-related reporting.

This role is ideal for a hands‑on Data Engineer or Analytics Engineer with strong SQL and Python skills, experience building end‑to‑end data pipelines, and the ability to turn complex datasets into meaningful business insights.

You will work on business-critical projects involving data pipelines, logging infrastructure, dashboards and performance metrics, with the opportunity to take ownership of independent engineering projects.

Key Responsibilities

• Design, develop and optimise end-to-end ETL/ELT data pipelines.

• Write complex SQL queries for data extraction, transformation, troubleshooting and performance optimisation.

• Use Python to develop and maintain scalable data processes.

• Build reporting datasets, dashboards and data visualisations to track key business metrics.

• Develop data models and infrastructure supporting reliable analytics and reporting.

• Use AI-assisted coding tools to improve engineering productivity and problem-solving.

• Investigate data issues, debug pipelines and implement data quality checks.

• Collaborate with cross-functional teams to translate business requirements into effective data solutions.

• Independently deliver engineering projects from design through implementation.

Essential Skills & Experience

• 4+ years of relevant experience in Data Engineering, Analytics Engineering, BI Engineering or a closely related role.

• Advanced SQL skills, including complex queries, data transformations and query optimisation.

• Strong hands‑on Python programming experience.

• Experience developing and maintaining production ETL/ELT pipelines.

• Practical experience building dashboards, data visualisations and reporting datasets.

• Hands‑on experience using AI coding tools as part of software or data engineering workflows.

• Understanding of data modelling, data quality and analytics infrastructure.

• Ability to troubleshoot technical issues and deliver projects independently.

Desirable Experience

• Experience with data logging, monitoring or event‑based datasets.

• Previous experience within a product‑led technology company.

• Experience supporting large‑scale reporting and analytics environments.

Why Consider This Opportunity?

• Work on high‑visibility data engineering projects within a globally recognised technology environment.

• Gain exposure to critical security and compromise‑prevention analytics.

• Work alongside engineering teams actively incorporating AI into development workflows.

• Take ownership of end‑to‑end engineering projects and contribute directly to business‑critical metrics.