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- Tasks: Build and maintain scalable data pipelines while collaborating with analysts and engineers.
- Company: Join a growing Leeds-based data consultancy with a focus on innovation.
- Benefits: Enjoy 26 days annual leave, private medical insurance, and a £300 learning budget.
- Why this job: Make a real impact in your data engineering career with modern tools and technologies.
- Qualifications: 1+ year experience in data engineering, with skills in ETL processes and data modelling.
- Other info: Hybrid work model with opportunities for professional growth and team events.
The predicted salary is between 30000 - 40000 £ per year.
Leeds, Hybrid (2 days in the office/week)
Impactive are exclusively partnered with a growing Leeds-based data consultancy looking for a Data Engineer early in their career, with a minimum of 1+ year experience in a data engineering capacity. You’ll be working on building scalable data solutions using modern tools and technologies, with the chance to learn fast and make a real impact.
The Role
- Build and maintain scalable data pipelines
- Improve data quality, reliability and observability
- Collaborate with analysts, data scientists and engineers
What You’ll Bring
- Experience with ETL processes and data modelling
- Python experience (nice to have)
- Clear communication and stakeholder skills
- Detail-oriented, proactive mindset
Nice to Have
- Exposure to cloud platforms and modern data tools
- DBT, Snowflake or similar
Why Join?
- 26 days annual leave + bank holidays
- Extra day of leave per year of service (up to 30 days)
- £300 annual learning & development budget
- Work from anywhere for 2 weeks per year
- Annual bonus (subject to company performance)
- Quarterly company socials + team events
- Private medical insurance
If you’re looking to take the next step in your data engineering career, apply via LinkedIn and I’ll be in touch with next steps!
Reasonable Adjustments Statement
We want to support you if you need adjustments at any stage of the application process. To request an adjustment at any stage please let us know some suggestions for adjustments which might help you and/or examples of previous adjustments you’ve found helpful and we’ll do our best to accommodate. The more detail you can provide us, the more we can help.
Diversity Statement
Impactive are passionate about building an inclusive and diverse workplace for our partners where everyone is welcome and supported. We understand that there are barriers in the tech industry for people from underrepresented groups based on ethnicity, gender identity, neurodiversity, disability, sexuality, and socio-economic status. You might not feel like you check all the boxes on this job advert, especially if you’ve experienced exclusion in the past. But, if you think the role is the right fit for you please apply, we’d love to hear about the experiences you can bring to the role!
Data Engineer (up to £40,000) in Leeds employer: Impactive IT
Contact Detail:
Impactive IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (up to £40,000) in Leeds
✨Network Like a Pro
Get out there and connect with people in the data engineering field! Attend meetups, webinars, or even just grab a coffee with someone already in the industry. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects or contributions to open-source work that highlight your data engineering skills. We love seeing practical examples of what you can do, so make sure to have them ready for interviews!
✨Prepare for the Interview
Research the company and the role thoroughly before your interview. We want to see that you’re genuinely interested in the position and understand what they do. Prepare some questions to ask too; it shows you’re engaged and keen to learn more!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you, so don’t hesitate to hit that apply button!
We think you need these skills to ace Data Engineer (up to £40,000) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL processes and any relevant tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and explain why you’re excited about this opportunity. Let us know how you can make an impact at our company.
Showcase Your Projects: If you've worked on any data projects, be sure to mention them! Whether it's building data pipelines or improving data quality, we love to see real examples of your work and how you’ve tackled challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Impactive IT
✨Know Your Data Tools
Make sure you brush up on your knowledge of ETL processes and any data modelling you've done. Familiarise yourself with tools like DBT and Snowflake, as they might come up in conversation. Showing that you’re proactive about learning these technologies can really impress the interviewers.
✨Showcase Your Communication Skills
Since collaboration is key in this role, be ready to discuss how you've effectively communicated with analysts, data scientists, and other engineers in the past. Prepare examples that highlight your clear communication style and how it helped achieve project goals.
✨Demonstrate Attention to Detail
As a Data Engineer, being detail-oriented is crucial. Think of specific instances where your attention to detail made a difference in your work. Whether it was improving data quality or ensuring reliability, having concrete examples will help you stand out.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data projects or their approach to data quality and observability. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.