At a Glance
- Tasks: Join our Graduate Programme to support data engineering and analytics across major projects.
- Company: Assystem, a global leader in energy transition with a collaborative culture.
- Benefits: Relocation support, professional development, and exposure to diverse projects.
- Other info: Dynamic environment with opportunities for growth and innovation.
- Why this job: Make a real impact on the energy transition while developing your skills.
- Qualifications: Degree in Data Engineering, Data Science, or related field; strong interest in data.
The predicted salary is between 25000 - 32000 £ per year.
Assystem is an international company with one mission: accelerate the energy transition around the world. Every day, our 8,000+ switchers located in 14 countries (Europe, Middle East, Pacific Asia & Africa) connect their six thousand billion neurons to tackle the task of the century: switching to low-carbon energy. We are a collective committed to making the energy switch. Sharing our knowledge, expertise and values allows us to innovate and think differently about the energy transition.
Job Mission
This hybrid role is based in Bristol; however, the base location can change dependent on the client delivery role requirements. Applicants are expected to be flexible to accommodate, and we can only consider candidates within commutable distance or those willing to relocate, with relocation support available.
You will join our two-year Graduate Programme supporting data engineering, analytics and digital delivery activities across major infrastructure and nuclear projects:
- Rotate across teams, projects and customers to broaden industry exposure
- Support the development and maintenance of engineering data pipelines and data integrations
- Assist with data collection, cleansing, validation and transformation activities
- Develop dashboards, reports and analytics products to support project decision making
- Contribute to data quality improvement initiatives and information governance activities
- Work with mentors and technical experts to develop data engineering and analytics skills
- Participate in Graduate Forums and structured peer learning sessions
- Support the implementation of digital and data platforms across engineering functions
- Contribute to process improvement and evidence-based decision making through data insights
- Develop an understanding of engineering data management within complex regulated environments
Essential Skills and Qualifications
- Degree in Data Engineering, Data Science, Analytics, Computer Science or similar
- Strong interest in data engineering and analytics within engineering environments
- Understanding of data structures, databases and reporting principles
- Analytical mindset with strong problem-solving capability
- Strong written and verbal communication skills
- Willingness to relocate or travel within the UK
- Eligibility for BPSS clearance and UK sole nationality
Desired Skills and Qualifications
- Experience with Python, SQL, Power BI or similar analytics tools
- Aware of data modelling and information management principles
- Understanding of highly regulated industries such as nuclear, defence or rail
- Interest in digital transformation and engineering data environments
To join our Graduate Scheme, you must be a UK sole national and a UK resident, as this is required for the type of work we do. You’ll also need to be able to obtain a minimum of Baseline Personnel Security Standard (BPSS) clearance, with some roles requiring higher levels of clearance. As part of the programme, you should also be willing to relocate or travel within the UK, and we’ll provide relocation support where needed.
Recruitment Process
After submitting your application, you’ll receive confirmation of next steps. If successful at screening, one of our recruitment team will call you to discuss:
- Your application and eligibility
- Your passion for energy transformation
- Your interest in and knowledge of your chosen discipline
Successful applicants will then be invited to attend an in-person assessment centre at one of our UK offices.
Diversity & Inclusion
We are committed to equal treatment of candidates and foster all forms of diversity within our company. Bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and the ability to dare are what matter most. Bring your unique contributions and help us shape the future.
NOTICE TO CANDIDATES ON RECRUITMENT FRAUD
We are committed to safeguarding candidates from fraudulent activity associated with our recruitment process. Please note that we will never offer specialist CV writing services, request payment or ask for sensitive personal information during the recruitment process.
Graduate Data Engineer & Analyst in Bristol employer: Assystem GmbH
Assystem GmbH is an excellent employer for early-career EC&I Engineers, offering a dynamic work culture in Bridgwater that fosters professional growth and development. With benefits like hybrid working arrangements, competitive sick pay, and a robust pension scheme, employees are supported in achieving a healthy work-life balance while contributing to impactful nuclear infrastructure projects.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Engineer & Analyst in Bristol
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We think you need these skills to ace Graduate Data Engineer & Analyst in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Assystem GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Assystem GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Assystem GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Assystem GmbH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
