At a Glance
- Tasks: Build and maintain data pipelines, transforming raw data into insightful reports.
- Company: Join an ambitious startup that values innovation and employee growth.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact by bridging engineering and analytics in a dynamic environment.
- Qualifications: Experience with SQL, cloud platforms, and data modelling; Python skills are a plus.
The predicted salary is between 45000 - 55000 £ per year.
Our client is looking for a Data Engineer who's comfortable working across the full data lifecycle — from raw source systems through transformation, modelling, and into reporting. You'll sit at the intersection of data engineering and analytics, building robust pipelines and models that the wider business can trust and build on. This is a great fit for someone who enjoys both the engineering side (pipelines, transformation, infrastructure) and the analytical side (modelling data in a way that makes it genuinely useful for reporting and decision-making).
What You'll Be Doing
- Building and maintaining data pipelines that move data from source systems through transformation and into reporting-ready models
- Designing and implementing data models using dimensional modelling principles (star schemas and similar approaches)
- Writing ETL/ELT processes using tools such as dbt
- Working with cloud-based data platforms (e.g. AWS Redshift, S3, Glue, Lambda) to store, process, and serve data at scale
- Writing production-quality SQL and Python for data transformation and automation
- Building and maintaining reporting and visualisation solutions in Power BI
- Working with APIs and system integrations to bring data together from multiple sources
- Using GitHub (or similar) for version control and collaborative development
- Contributing to basic CI/CD or deployment processes for data pipelines
What We're Looking For
- Solid experience with SQL and relational databases
- Hands-on experience with cloud data platforms — AWS exposure is particularly valuable (S3, Redshift, Glue, Lambda), though equivalent experience in Azure or GCP is absolutely transferable
- Experience with dbt or similar ETL/ELT tools
- Working knowledge of Python
- Experience with Power BI or similar reporting/visualisation tools
- Understanding of dimensional modelling / star schema design
- Familiarity with version control (GitHub or similar)
- Comfortable working across the full data journey — not purely engineering, not purely analytics, but somewhere in between
- Basic exposure to CI/CD or deployment pipelines is a plus
This is a fantastic opportunity to be part of an ambitious startup who genuinely invest in their employees.
Data Engineer employer: ViVA Tech Talent
Join a dynamic and innovative technology company that prioritises collaboration and creativity in the development of cutting-edge cloud and AI solutions. With a strong focus on employee growth, you will have access to continuous learning opportunities and a supportive work culture that values your contributions. Located in a vibrant tech hub, this role offers the chance to work on impactful projects while enjoying a flexible work environment that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ViVA Tech Talent!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at ViVA Tech Talent.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ViVA Tech Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at ViVA Tech Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
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 ViVA Tech Talent, 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 ViVA Tech Talent. 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 ViVA Tech Talent
✨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 ViVA Tech Talent!
✨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.
