At a Glance
- Tasks: Build and maintain data pipelines using Microsoft Azure and Databricks.
- Company: Join Codi, a compassionate and progressive tech company.
- Benefits: Competitive salary, 26 days holiday, and continuous professional development.
- Other info: Flexible working hours and a supportive team environment.
- Why this job: Kickstart your data engineering career and make a real impact with data insights.
- Qualifications: Experience with SQL and a passion for learning about data engineering.
The predicted salary is between 38543 - 38543 £ per year.
This is a fantastic opportunity to build your career in data engineering while working with modern tools and technologies. You'll gain hands-on experience with Microsoft Azure and Databricks, building and maintaining data pipelines, and supporting the flow of data through our data platform and into our central data warehouse. You'll also develop your understanding of source control workflows, data modelling, testing, and industry best practices, helping you build a strong foundation for a long-term career in data engineering.
As a Junior Data Engineer, you'll play a key role in helping us turn data into valuable insight. Working as part of the team responsible for moving data from operational systems into our central data warehouse, you'll help extract, clean, transform and model data so it's accurate, reliable, and ready for reporting and analysis.
Day to day, you'll support the development of data and analytics solutions, automate manual processes, carry out testing, resolve issues, and document technical designs. You'll work closely with colleagues across the business to ensure data is secure, accessible, and delivers meaningful value, while continuing to develop your technical skills and knowledge within a supportive team environment.
This is a permanent, full-time position working 37 hours per week, with the flexibility to work a 9-day fortnight through our agile working approach.
Skills and Experience Needed
We're looking for someone who has recent experience working with data and is keen to develop their career in data engineering. You'll have good working knowledge of SQL and be comfortable using it to work with data, solve problems and deliver practical solutions. Experience using Python and an understanding of software development practices would be advantageous. Most importantly, you'll bring an interest in data, a willingness to learn, and enthusiasm for developing your technical skills in a supportive environment.
Values
At Codi, our values are Compassionate, Authentic, and Progressive. When you join us, you'll embrace these principles and thrive in an environment shaped by them.
Perks, Benefits and a glimpse into our Codi world
This is a 37 hour per week role and permanent with a competitive salary, along with a great package designed to support you at work and beyond.
- £38,543 per annum
- 26 days holiday, pro rata entitlement plus Bank holidays. Rising to 31 days with an extra day for each full year of service.
- Continuous professional training and development
- Blue Light Card Eligibility giving discounts at 15,000 brands.
FREDIE
At Codi Group we are guided, in all that we do, by a group of principles that we call FREDIE, these are: Fairness, Respect, Equality, Diversity, Inclusion, Engagement. This means that whatever your background, you will have an equal opportunity to rise with us.
If you would like any support with your application or to discuss any adjustments that you may require to support you to application process, please contact talent@codigroup.co.uk or 0300 373 5262.
Junior Data Engineer in Cardiff employer: Pobl Group
Codi Group is an exceptional employer dedicated to uplifting communities and supporting young people in their journey towards independence. With a strong focus on compassion, authenticity, and progressive values, employees are encouraged to grow within a supportive environment that prioritises personal development and meaningful impact. Working at Llys Awen in Gorseinon not only offers the chance to make a real difference in the lives of young individuals but also provides a flexible part-time schedule that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in Cardiff
✨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 Pobl Group!
✨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 Junior Data Engineer at Pobl Group.
✨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 Pobl Group.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Engineer at Pobl Group, 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 Junior Data Engineer in Cardiff
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 Pobl Group, 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 Pobl Group. 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 Pobl Group
✨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 Pobl Group!
✨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.
