Data Engineer Analyst

Daintta; Greater London; Ibrido; GBP 28.000 - 38.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private Health Insurance

Employee Assistance Programme

Flex Cash Allowance

Pension contribution 5%

Annual training budget

Company bonuses

Descrizione del lavoro

Daintta is a fast-growing, values-driven analytics consultancy working with public and private sector clients across Cyber, Telecommunications, and Data. We are seeking a Data Engineering Analyst to contribute to data pipelines, ETL/ELT processes, and cloud-based architectures while learning from senior consultants and engaging with clients.

You will gain practical experience with structured/unstructured data, ethical data handling, and modern data engineering practices in a collaborative

Competenze

• Degree or equivalent educational background.
• Strong communication, both verbal and written, with non-technical audiences.
• Collaborative mindset with multi-disciplinary teams and shared goals.
• Analytical problem-solving with a structured approach to challenges.
• Willingness to learn new tools, frameworks and methodologies quickly.
• Proactive attitude, with the confidence to ask questions and own tasks.
• Good time management to juggle tasks and meet deadlines in fast-paced environments.
• Meticulous attention to detail in analysis, documentation and delivery.
• Professionalism and empathy when engaging with stakeholders and understanding needs.

Mansioni

• Assist in assessing client data needs through stakeholder communications and technical discovery.
• Learn and apply ETL/ELT concepts across structured and unstructured sources.
• Contribute to data engineering solutions across cloud, on-premise and hybrid environments under guidance.
• Assist in modelling and structuring data for analytics, reporting and BI, including exposure to ML and compliance use cases.
• Help ingest, clean and consolidate data from various formats and standards.
• Support data migration and conversion tasks between systems and platforms.
• Develop awareness of ethical data handling and data protection regulations.
• Contribute to scalable, secure data solutions through design discussions and documentation.
• Deliver high-quality work to agreed timelines and show initiative.
• Prepare materials for client engagements: reports, presentations, demos.
• Support internal initiatives that grow the data engineering practice.
• Uphold Daintta values: transparent, fair, daring.

Conoscenze

Communication

Collaboration

Problem-Solving

Adaptability

Initiative

Time Management

Attention to Detail

Client Focus

Formazione

Degree Educated or equivalent

Strumenti

ETL/ELT concepts

SQL

Data modelling basics

AWS

Azure

Data ethics and governance awareness

Descrizione del lavoro

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.