Data Engineering Analyst - Hybrid: Learn & Impact in Consulting

DAINTTA; Greater London; Hybrid; GBP 32,000 - 46,000; Full time

Benefits offered by this job

25 days annual leave

Private Health Insurance

5% pension contribution

Annual training budget

Volunteer leave

Employee discounts & social events

Training budget & membership

IT budget for new joiners

Job summary

DAINTTA is seeking a Data Engineering Analyst to join a fast-growing, values-driven team. You’ll support the design, testing, and delivery of data pipelines and architectures, handling structured and unstructured data while respecting ethical data practices.

You’ll gain hands-on experience across cloud, on-premise, and hybrid environments, contribute to data migration tasks, and work with senior consultants on client engagements. A collaborative, learning-focused culture awaits.

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• Strong communication, both written and verbal.
• Proven collaboration in multidisciplinary teams.
• Analytical mindset and structured problem-solving approach.
• Willingness to learn new tools and frameworks quickly.
• Proactive attitude with initiative and ownership.
• Able to manage multiple tasks and meet deadlines.
• Meticulous attention to detail in analysis and delivery.
• Client-focused with professional stakeholder engagement.

Responsibilities

• Assist with stakeholder communications, documentation, and technical discovery.
• Learn ETL/ELT concepts across structured and unstructured sources.
• Contribute to data engineering solutions across cloud, on-premise, and hybrid environments.
• Model and structure data for analytics, reporting, and BI; exposure to ML use cases.
• Ingest, clean, and consolidate data from various formats.
• Support data migration and conversion tasks between systems.
• Develop awareness of data ethics and protection legislation.
• Support scalable, secure data solutions through design discussions.
• Deliver high-quality work to agreed timelines; show initiative to learn.
• Prepare materials for client engagements, including reports and demos.
• Contribute to internal growth initiatives for the data engineering practice.
• Uphold values of transparency, fairness, and audacity.

Skills

Degree Educated

Communication

Collaboration

Problem-Solving

Adaptability

Initiative

Time Management

Attention to Detail

Client Focus

Education

Degree Educated or equivalent

Tools

SQL

Cloud platforms (AWS/Azure)

Job description

DAINTTA is seeking a Data Engineering Analyst to join a fast-growing, values-driven team. You’ll support the design, testing, and delivery of data pipelines and architectures, handling structured and unstructured data while respecting ethical data practices.

You’ll gain hands-on experience across cloud, on-premise, and hybrid environments, contribute to data migration tasks, and work with senior consultants on client engagements. A collaborative, learning-focused culture awaits.