At a Glance
- Tasks: Join our team to solve data problems and automate workflows.
- Company: 80 DAYS, a forward-thinking agency in Edinburgh with a collaborative vibe.
- Benefits: Permanent role with hybrid working, competitive salary, and growth opportunities.
- Other info: Eager learners will thrive in our dynamic environment focused on innovation.
- Why this job: Kickstart your career by making data work smarter for everyone.
- Qualifications: Degree in data science or related field; some scripting experience preferred.
The predicted salary is between 28000 - 35000 £ per year.
80 DAYS is looking for a curious, motivated Graduate Data Engineer to join our team and help us make better use of data, technology and automation across the business. This is a brilliant first role for someone who enjoys solving problems, is eager to learn, and has a good grounding in data and analytics. You don't need to have all the answers — you need to be the kind of person who goes looking for them.
Working alongside teams across the agency, you'll get hands‑on experience connecting data sources, building workflows and helping colleagues get more from the tools and platforms we use every day.
Permanent Role, Edinburgh / Hybrid
- Help identify where data, automation and smarter tooling could save time or improve how we work
- Support the build and maintenance of automated workflows that connect business platforms and reduce manual effort
- Assist with data integration tasks — pulling data from APIs, organising it and making it useful
- Help develop simple dashboards or internal tools that give teams better visibility of their data
- Learn and contribute to AI-powered workflow development as your skills grow
- Document processes clearly and support colleagues in using new tools with confidence
Skills & Experience
- A degree (or equivalent) in a relevant field such as data science, computer science, mathematics, statistics or a related discipline
- Some experience with scripting — Python, SQL or similar — even if just from university projects or personal learning
- A genuine interest in data: how it's structured, how it moves between systems, and how it can be used to answer real questions
- Good analytical thinking and a natural instinct for breaking problems down
- Comfortable working with spreadsheets and structured data at a minimum
- Familiarity with tools like Google Analytics, Google Sheets or similar platforms is a plus
- Any exposure to automation tools, APIs or databases is welcome but not essential
- Strong communication skills — you can explain what you're doing and why in plain language
- Eagerness to learn new tools and technologies on the job, including AI-assisted workflows
- Organised and methodical, with good attention to detail
What We're Really Looking For
More than any specific tool or technology, we want someone who is hungry to learn, enjoys figuring things out and can apply logical thinking to real business problems. If you've got a solid grounding in data and some scripting experience, we'll help you build the rest.
Graduate Data Engineer employer: 80 DAYS Digital
At 80 DAYS, we pride ourselves on fostering a dynamic and inclusive work culture that encourages curiosity and continuous learning. As a Graduate Data Engineer in our Edinburgh office, you'll benefit from hands-on experience with cutting-edge data technologies while collaborating with diverse teams to drive innovation. We offer a supportive environment where your growth is prioritised, and you'll have the opportunity to contribute to meaningful projects that enhance our operations through data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Engineer
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like 80 DAYS Digital when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like 80 DAYS Digital.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like 80 DAYS Digital.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through 80 DAYS Digital’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Data Engineer
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at 80 DAYS Digital, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at 80 DAYS Digital aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at 80 DAYS Digital
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
