Data Engineer Internship

DSP Overview

DSP offers award-winning IT consultancy and managed services for Oracle, Microsoft and Google technologies. We specialise particularly in data platform management, application development, engineered systems and Cloud with a strong presence specifically in Oracle SQL Server, APEX, Azure and GCP. We are a leading technology partner in the UK and have been recognised for that by our technology partners and industry through a wide range of awards and accolades.

Our mission is to be the most responsive service provider in the sphere of enterprise database management, regardless of platform, geography, and cloud infrastructure. We will harness the passion of our people and have the courage to challenge traditional methods of service delivery, pursuing customer happiness at all times.

We strive to hire the best people who are aligned with our core values:

• Excellence: We are committed to giving our best in everything we do and aspire to be exceptional.
• Responsiveness: We are quick to respond to our colleagues' and customers’ needs.
• Passion and fun: We are passionate about what we do and believe that work should be both fun and fulfilling.
• Respect: We act with honesty and treat employees, customers and partners with mutual respect and promote inclusive working practices.
• Continuous Improvement: We have the courage to innovate and embrace new ideas.

Key Roles & Responsibilities

The Data Engineer Intern will report directly to the Director of Innovation and will be responsible for building analytic visualisations within Power BI and demonstrating their purpose to users. The Data Engineer Intern will be required to work independently on a range of data problems and provide visualisation of that data. The problems will be specific and well defined yet the solution and ‘data wrangling’ will be down to the engineer.

Whilst analytics and visualisations are mission-critical to the role, once those responsibilities are dealt with there is more freedom in the type of work available: from writing articles for our blog on technical subjects you find interesting, to training and deploying machine learning models, and taking certifications in relevant skills, so long as the task fits a business need it’s within the realm of possibility.

There is also the possibility of being put into rotation around the company to work on similar tasks for other departments, through this you will have the opportunity to learn about how various departments within DSP interplay to provide our renowned IT consultancy and managed services.

General

• Work independently on a wide range of data problems
• Expected to undertake self-study and learning to improve their knowledge of analytic and visualisation tools
• Extend their remit beyond data and analytics to potentially investigate and work on other IT projects where appropriate
• Undertake professional certification in line with the company objectives
• Providing analysis and building visualisations of data
• Developing and documenting the capability of data visualisation tools
• Administering the Cloud environments and datastores where appropriate
• Writing and performing data manipulations in SQL, Python etc
• Building and training Machine Learning models
• Build engaging narratives around customer data with analytics and visualisations

Key Success Criteria

• Be able to work individually and collaboratively within a team
• Self-motivated, self-starter and ability to work under their own initiative
• Strong communicator with an ability to express technical and non-technical challenges to a wide audience
• Strong written and presentation skills to be able to ensure all work is documented to the highest standard
• Manage their own time appropriately and ensure deadlines are met and expectations are set with key stakeholders
• Be respective to feedback and developmental critique; have a growth mindset
• Willingness to learn, adapt and challenge themselves in undertaking new challenges in new technologies

Experience and Background

• Undergraduate in Computer Science / Maths / Engineering / Business
• Experience with scripting languages
• Understanding data analytics concepts
• Experience in Cloud ML platforms and or Power BI would be beneficial but not a requirement

Skills:

• SQL
• Python
• PowerBI

Personal Attributes:

• Grit and determination
• Organisational skills
• Customer-focused attitude
• Drive and determination to get the job done correctly.

Interview Process:

For this role, there will be two rounds of interviews, first with our Data Team Lead where there will be a technical test to assess your data analysis capabilities, and an opportunity to discuss experiences from your life which demonstrate the core capabilities of a successful candidate: data analysis, programming, communication, and initiative. Then there will be a final interview with the Director of Innovation to give you an opportunity to demonstrate your passion for data analysis to the senior leadership team.

Location / Special Requirements

Flexible with weekly travel to a DSP office (Leeds, Nottingham, London, Basingstoke) as and when required.

This job description is not to be regarded as exclusive or exhaustive. It is intended as an outline indicating the areas of activity and may be amended from time to time in light of the changing needs of the organisation.

DSP Company Profile

DSP is a UK-based Managed Service Provider (MSP) specialising in data management and cloud platforms. Founded in the mid-1990s, the company pioneered the concept of remote Database Administration (DBA) support. Today, DSP delivers enterprise-grade managed support and consulting services for Oracle, Microsoft, and Multi-Cloud technologies.

The company operates across multiple locations in Europe. The head office is located in London, with additional offices in Leeds, Derby, and Dublin. DSP focuses on providing secure, efficient, and reliable IT solutions to various business clients.

Career Opportunities

DSP actively recruits talent ranging from seasoned professionals to entry-level candidates. The company maintains a focus on employee satisfaction, ongoing professional development, and a collaborative work environment. This makes it a practical option for recent graduates starting their careers in the technology sector.

Employees at DSP receive several standard benefits, including:

• 25 days of annual leave, plus a discretionary day off for birthdays.
• An electric car salary sacrifice scheme run in partnership with Octopus EV.
• Income protection and a discretionary performance bonus.

For entry-level job seekers, DSP provides opportunities to learn new skills in database technology support, artificial intelligence, and cloud architecture while working alongside experienced industry professionals.

Company Link: https://www.dsp.co.uk/