Data Engineer

Daintta Ltd; City of London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A fast-growing tech firm in London is seeking an Entry-level Data Engineer to support data solutions across Cyber and Data sectors. You will assist in data pipelines and analysis while promoting ethical practices. The position offers a hybrid working setup and numerous benefits including training leave and health insurance.

Benefits

25 days annual leave plus bank holidays

Private Health Insurance

Free breakfast every Tuesday

Monthly breakfast club in Cheltenham

Employee referral programme

Qualifications

• Degree-educated or equivalent.
• Clear verbal and written communication skills.
• Analytical thinking and structured approach.

Responsibilities

• Support assessment of client data needs.
• Learn ETL/ELT processes.
• Contribute to development of data solutions.

Skills

Clear verbal and written communication

Analytical thinking

Ability to manage multiple tasks

Proactive attitude

Team collaboration

Education

Degree-educated or equivalent

Tools

ETL/ELT concepts

SQL

Cloud platforms (AWS, Microsoft Azure)

Job description

Data Engineer role at Daintta

Daintta is a rapidly expanding, values‑driven team of specialists who collaborate with both public and private sector clients across Cyber, Telecommunications, and Data. We are seeking a talented and motivated Cyber Security Graduate to join our team and contribute to our mission of safeguarding the UK through data‑driven insights and solutions.

About the role

As a Data Engineering Analyst at Daintta you will help shape data‑driven solutions by supporting the design, testing, and delivery of data pipelines and architectures. You will gain practical experience working with structured and unstructured data, applying ethical data handling principles, and exploring cloud‑based technologies while building a strong foundation in modern data engineering practices.

Key Responsibilities

• Support the assessment of client data needs by assisting with stakeholder communications, documentation, and technical discovery activities.
• Learn and apply foundational concepts in data extraction, transformation, and loading (ETL/ELT) across structured and unstructured sources.
• Contribute to the development and testing of data engineering solutions across cloud, on‑premise, and hybrid environments under the guidance of senior team members.
• Assist in modelling and structuring data for use in analytics, reporting, and business intelligence, while gaining exposure to machine learning and compliance use cases.
• Help ingest, clean, and consolidate data from various formats and standards, ensuring consistency and usability.
• Participate in data migration and conversion tasks, supporting the transition between systems and platforms.
• Develop awareness of ethical data handling practices and relevant data protection legislation.
• Support the implementation of scalable, secure, and reliable data solutions by contributing to design discussions and documentation.
• Deliver high‑quality work to agreed timelines, demonstrating initiative and a willingness to learn.
• Assist in preparing materials for client engagements, including reports, presentations, and demos.
• Contribute to internal initiatives that support the growth of the data engineering practice.
• Uphold and promote our values of being transparent, fair, and daring, both internally and externally.

Required Skills & Knowledge

• Degree‑educated or equivalent.
• Clear verbal and written communication, especially when translating technical concepts for non‑technical audiences.
• Ability to work effectively in multidisciplinary teams and contribute to shared goals.
• Analytical thinking and a structured approach to breaking down complex challenges.
• Willingness to learn new tools, frameworks, and methodologies quickly.
• Proactive attitude, confidence to ask questions and take ownership of tasks.
• Ability to manage multiple tasks and meet deadlines in fast‑paced environments.
• Careful and thorough approach to analysis, documentation, and delivery.
• Professionalism and empathy when engaging with stakeholders and understanding their needs.

Nice to Have

• ETL/ELT concepts
• SQL and data querying
• Data modelling basics
• Familiarity with cloud platforms (e.g. AWS, Microsoft Azure)
• Data ethics and governance awareness

Benefits

Time Off

• 25 days annual leave, plus bank holidays
• Up to 5 days annual training leave with a dedicated training budget
• Up to 3 days annual volunteering leave
• Competitive maternity, paternity, shared parental leave & compassionate leave

Health & Wellness

• Comprehensive Private Health Insurance
• Employee Assistance Programme – 24/7 support services
• £2,000 Flex Cash Allowance, paid pro‑rata over the year

Financial Benefits

• 5% pension contribution
• Discretionary company awards and bonuses, based on performance and company targets
• Access to Electric Vehicle (EV) Salary Sacrifice scheme

Professional Development

• Up to £1,000 annual training budget (access to additional training and development budget via business case)
• Up to 5 days annual training leave
• 1 professional membership paid annually
• Up to £200 of additional IT budget for new joiners

Perks

• Free breakfast every Tuesday in the London office
• Fortnightly drinks in London
• Regular social events, quizzes, and guest workshops
• Huckletree perks including gym and restaurant discounts
• Employee referral programme
• Monthly breakfast club in our Cheltenham office

Location

Hybrid, with 2‑3 days working from Daintta office (London/Cheltenham) or on client site as required.

Security Information

Due to the nature of this position you must be willing and eligible to achieve a minimum of SC clearance. To qualify you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, see gov.uk.

Seniority level: Entry level

Employment type: Contract

Job function: Information Technology

Industry: Data Infrastructure and Analytics