Graduate Data Engineer – paid to train - Nationwide

Details

Description

A bit about us:

We are an award-winning consultancy that hires smart, aspiring, diverse graduates and junior professionals and transforms them into consultants who can solve our clients’ data, AI, and next-generation challenges through high-quality, salaried training and dedicated support.

Why you should join Kubrick:

Our 15-week training programme is designed for people without any background or experience in data or technology and over the 15 weeks, you'll be exposed to a range of scripting languages, platforms, data handling and database skills, and soft skills that are in-demand across industries.

You'll also have continuous access to ongoing development opportunities post-training, including free accreditations from leading tech partners that will certify your skills, make you a sought-after candidate, and lead to rapid career acceleration.

What you'll receive:

  • The opportunity to enter the world of data, AI, and technology without any prior background or experience in the field. We'll teach you everything you need to know!
  • 15 weeks of high-quality, paid training in the latest tools and technology, delivered by industry experts
  • Competitive £32,000 year-one salary, with an impressive increase to £40,000 in your second year
  • Potential to earn £55-60K in your third year
  • Exposure to exciting FTSE 100 organisations and industries
  • Automatic access to exciting projects that are typically reserved for experienced consutlants
  • Continuous opportunities to build your skills and understanding in new and exciting areas
  • Access to a range of ongoing development resources, both during your employment as a Kubrick alumni member (if you choose to join your client)
  • Access to a range of free accreditations with leading tech partners including Microsoft, Tiger Graph, Azure, PowerBI, Collibra, Google Cloud Platforms, AWS, Snowflake, Alteryx, Looker
  • Ongoing professional and developmental support from your dedicated People Team representative
  • Access to a range of benefits to support your mental, physical, and financial wellbeing

The role:

As a Kubrick Data Engineer, you will be responsible for organising, cleansing, aligning, and correlating our clients’ raw data into usable information that can lead to better business insights and faster, more accurate solutions, thereby helping maximise their performance.

There’s a wealth of data out there that often it doesn’t correlate with other data sets, due to the way it has been collected which effectively renders it useless. As a Data Engineer, it’s your job to take that data and make sure it’s cleaned and organised so it can be interpreted by other data teams and business stakeholders, thereby leading to positive change. You are also responsible for working with stakeholders to understand their requirements and sourcing information through a variety of means, making it the perfect role for anyone with an inquisitive mindset that loves problem-solving and thinking outside of the box to reach solutions.

Why you should become a Data Engineer:

Data engineers are on the front lines of data strategy so that others don’t need to be. They are the first people to tackle the influx of structured and unstructured data that enters a company’s systems. They are the foundation of any data strategy.

There’s also no denying that data engineers are making a significant and growing impact on the world at large. Every day, we create 2.5 quintillion bytes of data, and the immensity of today’s data has made data engineers more important than ever. There will be more than 64 billion IoT devices by 2025 and with this growth comes a lot more data from a lot more sources, and thus a lot more need for engineers who can effectively process and channel it.

This means that data engineers have a huge variety of ways they can pursue their interests and deepen their skill sets.

What we need from you:

  • Educated to degree level (minimum)
  • Strong STEM A Levels
  • Curious, analytical and great at solving problems – we don’t need any previous coding skills, just excitement to learn!
  • Desire to work with data and how it can help an organisation make better decisions
  • Flexible and adaptable communicator who can work collaboratively
  • Committed to producing high quality solutions
  • Dedicated to continuous personal and professional development
  • Flexible on location as our consultants often work across the UK

Our benefits:

We offer a wide range of benefits at Kubrick that are designed to support staff with their physical, mental, and financial wellbeing. These include but aren’t limited to:

  • Cycle to work scheme
  • Free Specsavers eyecare vouchers
  • Hybrid training environment
  • Casual dress
  • A blend of collaborative workspaces and quiet areas
  • Laptops and all training materials provided by Kubrick throughout training
  • Employee referral scheme
  • Mental health first aiders
  • Access to Perkbox Premium (including discounted gym memberships, wellbeing portal with free counselling sessions and advice, discounted food and drinks, plus more)
  • Pension scheme
  • Paid time off
  • Paid parental leave
  • Ongoing networking opportunities
  • Dedicated support from our Readiness team during training and Consultant Success team during client projects
  • Continuous development including free accreditations from our tech partners
  • A team of diversity champions who are dedicated to driving diversity and inclusion across the business
  • Opportunities to get involved in volunteering and wider ESG initiatives

Diversity statement:

Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHA, and other forms of neurocognitive variation.

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