At a Glance
- Tasks: Own SQL-driven data development and reporting, supporting transformation projects.
- Company: Purpose-driven organisation focused on using data to improve lives.
- Benefits: Salary up to £38,000, hybrid work, and professional growth opportunities.
- Other info: Great environment for early career growth in data engineering.
- Why this job: Join a tech-savvy team and modernise data strategies while making a real impact.
- Qualifications: Strong SQL skills, experience with Power BI, and ability to communicate effectively.
The predicted salary is between 38000 - 38000 € per year.
This is a great opportunity to join a purpose‑driven organisation where you can take ownership of data development and help modernise a traditional data estate as part of a growing Data & Insight function.
THE COMPANY
This organisation is forward‑thinking and technology‑driven, with a strong focus on using data to improve people's lives. They are investing in a new data strategy and modern Microsoft stack, creating an excellent environment for someone early in their data career to grow and develop.
THE ROLE
You will take ownership of SQL‑driven data development and reporting, supporting both BAU activity and longer‑term transformation projects. Working closely with the Data Engineering Manager, you'll help deliver reliable data products for the wider business.
Key responsibilities include:
- Building and maintaining SQL‑based ETL pipelines across SSIS and Azure Data Factory
- Developing and delivering Power BI dashboards, datasets and data models
- Supporting and maintaining some existing SSRS reports
- Contributing to the ongoing modernisation of the data warehouse and presentation layer
- Supporting the transition toward Python, Azure and Microsoft Fabric
YOUR SKILLS AND EXPERIENCE
You will bring strong capability in:
- SQL and ADF (Azure Data Factory)
- Power BI report development and data modelling
- Working with data warehouses and structured datasets
- Supporting ETL processes and data pipelines
- Communicating clearly with technical and non‑technical stakeholders
THE BENEFITS
You will receive a salary of up to £38,000.
Junior Data Engineer in Liverpool employer: Harnham
Join a forward-thinking and technology-driven organisation in Liverpool, where as a Junior Data Engineer, you will have the opportunity to take ownership of data development and contribute to meaningful projects that improve people's lives. With a strong focus on employee growth, you will benefit from a supportive work culture that encourages innovation and offers access to modern tools and technologies, ensuring a rewarding career path in the evolving field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects, Power BI dashboards, or any data models you've developed. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practice explaining your thought process clearly, especially when discussing technical concepts with non-technical folks.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our purpose-driven team.
We think you need these skills to ace Junior Data Engineer in Liverpool
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your SQL and Power BI experience, as well as any work with data warehouses. We want to see how you can contribute to our data-driven mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can help us modernise our data estate. Keep it concise but engaging – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We’re interested in seeing your hands-on experience with SQL, ETL processes, and Power BI dashboards. It’s all about demonstrating your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL-driven data development and any specific projects you've worked on. Practising common SQL queries and understanding ETL processes will give you a solid foundation to impress your interviewers.
✨Familiarise Yourself with Azure Data Factory
Since this role involves working with Azure Data Factory, it’s crucial to understand its functionalities. Take some time to explore how ADF works, and if possible, try to build a simple pipeline. Being able to talk about your hands-on experience or even theoretical knowledge will show your enthusiasm for the role.
✨Showcase Your Power BI Skills
Prepare to discuss any Power BI dashboards or reports you've developed. Bring examples of your work if you can, and be ready to explain your thought process behind the data models you created. This will demonstrate your ability to deliver reliable data products, which is key for the position.
✨Communicate Clearly and Confidently
This role requires clear communication with both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms. During the interview, make sure to listen actively and respond thoughtfully to questions, showcasing your ability to bridge the gap between different audiences.
