Data Engineer Analyst

DAINTTA; Greater London; Híbrido; GBP 32.000 - 46.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Degree Educated

Communication

Collaboration

Problem-Solving

Adaptability

Initiative

Time Management

Attention to Detail

Client Focus

Educación

Degree Educated or equivalent

Herramientas

SQL

Cloud platforms (AWS/Azure)

Descripción del empleo

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

Being a part of our Advanced Professions Programme means you’ll be at the heart of our consulting projects - supporting senior consultants, engaging with clients, and helping to deliver solutions to their most complex challenges. This is an exciting opportunity to launch your career in consulting, gain exposure to different industries, and develop your skillset in a fast-paced, collaborative and supportive environment.

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’ll gain practical experience working with structured and unstructured data, applying ethical data handling principles, and exploring cloud-based technologies—all 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.

Skills/Knowledge

Required Skills/Knowledge

• Degree Educated or equivalent.


• Communication:Clear verbal and written communication, especially when translating technical concepts for non-technical audiences.


• Collaboration:Ability to work effectively in multidisciplinary teams and contribute to shared goals.


• Problem-Solving:Analytical thinking and a structured approach to breaking down complex challenges.


• Adaptability:Willingness to learn new tools, frameworks, and methodologies quickly.


• Initiative:Proactive attitude, with the confidence to ask questions and take ownership of tasks.


• Time Management:Ability to manage multiple tasks and meet deadlines in fast-paced environments.


• Attention to Detail:Careful and thorough approach to analysis, documentation, and delivery.


• Client Focus:Professionalism and empathy when engaging with stakeholders and understanding their needs.

Nice to Have Experience / Knowledge

• ETL/ELT concepts


• SQL and data querying


• Data modelling basics


• Familiarity with cloud platforms (e.g. AWS, Microsoft Azure)


• Data ethics and governance awareness

Location?

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

Benefits

We believe in supporting our people both professionally and personally. Here’s what you can expect when you join us:

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 - give back to the community


• 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

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

Security Information

Due to clients’ requirements, all applications are strictly subject to security clearance requirements relevant to the role.