Data Engineer Apprentice: Build Pipelines, AI & Analytics

QA Limited; City of Westminster; On-site; GBP 18,000 - 25,000; Full time

Benefits offered by this job

Holiday entitlement 28 days

Birthday day off

Pension matching up to 5%

Enhanced parental leave

Cycle to work scheme

Gym and retail discounts

Regular social events

Flexible benefits package

Job summary

QA Limited offers an apprenticeship in data engineering within the Data Engineering team. You will learn to deliver data pipelines on client datasets and work closely with client services, data engineers, analysts and delivery managers to support data products and analytics.

The programme develops problem solving, communication, and a growth mindset, with hands-on training in Python, SQL, Azure, Databricks and ETL/ELT tools across diverse data sources.

Qualifications

• Must have Level 3 qualification or equivalent.
• Two A levels in one or more similar subject or Level 3 apprenticeship or IB or BTEC option.
• Experience with programming languages (such as Python) or 2-3 years in a related role.

Responsibilities

• Learn to deliver data engineering pipelines on client data and data services for reporting and analytics.
• Collaborate with client services, data engineers, business analysts, delivery managers and data analysts/scientists.
• Build and configure data ingestion methods from APIs, files, streaming, and public sources.
• Assist in creating data products for marketing, reporting and AI use cases.

Skills

Problem solving

Communication

Reliability

Growth mindset

AI curiosity

Education

A Level 3 qualification

Two A levels

Level 3 apprenticeship

International Baccalaureate (Level 3)

BTEC Extended Diploma

Programming experience (Python)

Job description

QA Limited offers an apprenticeship in data engineering within the Data Engineering team. You will learn to deliver data pipelines on client datasets and work closely with client services, data engineers, analysts and delivery managers to support data products and analytics.

The programme develops problem solving, communication, and a growth mindset, with hands-on training in Python, SQL, Azure, Databricks and ETL/ELT tools across diverse data sources.