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- Tasks: Design and build scalable data platforms while collaborating with diverse teams.
- Company: Join Node4, a vibrant tech company focused on growth and innovation.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday plus your birthday off.
- Why this job: Be a change maker in a dynamic environment and make a real impact with data.
- Qualifications: 2-5 years experience in data engineering and strong SQL skills required.
- Other info: Join a diverse team with excellent career development opportunities and fun social events.
The predicted salary is between 30000 - 50000 £ per year.
Become a change maker and join Node4. Node4 have a committed, talented, and diverse workforce that is growing all the time, but as we expand through our own growth and acquisitions, we never lose sight of the most important part of our business - our people. We want you to grow, learn, and evolve alongside us. So, whether you’re just starting out in your career or looking to progress as an industry professional, Node4 has a place for you.
With a passion for data and an innate curiosity, the Data Engineer will have a strong background in designing, building, and maintaining scalable data platforms and pipelines. They will be responsible for creating robust data integration solutions, automating data workflows, and collaborating with business users to understand and meet their data needs. This role requires a proactive approach to identifying areas for improvement in performance, reliability, and cost efficiency. Because this is a cross-functional role, the ability to communicate with varying stakeholders is essential.
RESPONSIBILITIES
- Design, build, and maintain data platforms and architectures
- Build robust data integration solutions, including ETL processes, data pipelines, and data mappings to facilitate the movement of data between systems and platforms
- Design and build data models including a Master Data Management layer to support analytical and operational outcomes
- Automate data workflows such as data ingestion, aggregation, and ETL processing
- Collaborate with business users and analysts to understand data needs
- Pro-actively identifying areas of improvement related to performance, reliability, and cost efficiency of data estate
- Implement monitoring and alerting solutions to address data issues
- Perform routine maintenance and troubleshooting
What will you bring?
- 2-5 years’ experience in a similar role, with a proven track record of developing data platform solutions
- Strong experience working with Microsoft data products such as Azure data services (e.g. synapse, data factory, SQL), Microsoft Fabric and/or Power BI
- Solid understanding of data warehousing, data modelling, data integration, and ETL processes
- Advanced SQL skills and experience with relational databases and database design
- Strong stakeholder management skills
- Excellent problem-solving skills with a curious and analytical mindset
- Excellent written and verbal communication skills, capable of explaining technical findings to non-technical stakeholders
- A positive and solution focused approach to tasks and projects
- Highly desirable to have one or more of the following Microsoft certifications: Fabric Analytics Engineer Associate, Azure Data Engineer Associate, Power BI Data Analyst Associate
- Experience with any of the following querying languages: Python, DAX, Power Query M
What can we offer you?
- Hybrid Working
- Private Medical Insurance or Company Paid Health Cash Plan
- Employee Assistance Program
- 25 days holidays plus your birthday off
- Option to purchase additional holiday (up to 5 days)
- Company Pension Scheme
- Life Assurance x 4
- A diverse workforce
- Employee investment with Node4 training Academy
- Family savings and shopping discounts through the Node4 benefits portal.
- Discounted Gym Membership
- Modern facilities with open and welcoming breakout areas
- Company Social events
- Never ending supply of hot and cold drinks, biscuits, sweets, and fruit
Why join Node4?
Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust. Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company.
Data Engineer employer: risual Limited
Contact Detail:
risual Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Node4 on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Data Engineer. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Azure data services, SQL, and ETL processes. We want to see your passion for data and how you can contribute to our team!
✨Tip Number 3
Show us your problem-solving skills! Be ready to tackle some real-world scenarios during the interview. Think about how you would approach improving performance or reliability in a data pipeline – we love seeing that analytical mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Node4 family. Let’s grow and evolve together!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft data products and any relevant projects you've worked on. 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! Use it to explain why you're passionate about data and how you can contribute to our team. Don't forget to mention your problem-solving skills and ability to communicate with different stakeholders.
Showcase Your Technical Skills: Be sure to include specific examples of your technical skills, especially in SQL, ETL processes, and data integration. We love seeing how you've used these skills in real-world scenarios, so don't hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our vibrant team at Node4!
How to prepare for a job interview at risual Limited
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your knowledge of data platforms and pipelines. Be ready to discuss your experience with Microsoft data products like Azure and SQL, as well as any relevant projects you've worked on. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you identified areas for improvement in data performance or reliability. This will demonstrate your proactive approach and analytical mindset, which are key for a Data Engineer.
✨Communicate Like a Pro
Since this role involves working with various stakeholders, practice explaining technical concepts in simple terms. You might be asked to describe a complex data solution to someone without a technical background, so being able to communicate clearly is essential. Consider doing mock interviews with friends to refine your skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how Node4 supports employee growth. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.