At a Glance
- Tasks: Build and maintain data infrastructure to support reporting and analytics.
- Company: Fast-growing, family-run organisation focused on people and values.
- Benefits: Competitive salary, supportive environment, and opportunities for growth.
- Other info: Exciting opportunity to learn and develop in a collaborative setting.
- Why this job: Join a dynamic team and make a real impact with data-driven solutions.
- Qualifications: Experience in data engineering, strong SQL skills, and familiarity with cloud platforms.
The predicted salary is between 40000 - 50000 £ per year.
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
The Opportunity: Our client is a fast-growing, family-run organisation operating across multiple sites nationwide, delivering high-quality services within a people-focused environment. Since its early beginnings, the business has experienced significant expansion and now operates at scale across the UK. As growth continues, data is playing an increasingly important role in driving decision-making, improving operational performance, and supporting long-term strategy. With a large volume of data across multiple systems and applications, the organisation is now looking to appoint a Data Engineer to help develop its data platform and strengthen its data-driven capabilities. This represents an excellent opportunity to join a values-led business at an exciting stage of its journey, where you will work closely with senior technical leadership to shape the evolution of the data environment and deliver meaningful impact across the organisation.
The Role: As Data Engineer, you will take a hands-on role in building and maintaining the data infrastructure that supports the organisation’s reporting and analytics capabilities. Working alongside the Lead Engineer, you will contribute to the continued development of the data warehouse and play a key role in improving how data is captured, processed and utilised across the business. You will also support the ongoing development and optimisation of APIs, ensuring effective integration between key systems. This is a varied role, offering exposure to a broad technology landscape and the opportunity to develop your skills within a supportive environment that encourages learning, growth and progression.
Key Responsibilities:
- Design, build and maintain scalable data processing systems and infrastructure.
- Develop and manage robust data pipelines to ingest, clean and transform data for reporting and analytics.
- Support and enhance the data warehouse, including ETL processes and data modelling activities.
- Collaborate with analysts, engineers and business stakeholders to deliver high-quality, data-led solutions.
- Monitor data performance and identify opportunities for optimisation and automation.
- Maintain and improve APIs to enable seamless integration across core business systems.
- Implement best practices in data governance, security and compliance.
- Troubleshoot and resolve data-related issues in a timely and effective manner.
- Maintain clear documentation across data architecture, pipelines and processes.
- Stay up to date with emerging tools and technologies within data engineering and analytics.
About You:
We are looking for a motivated and ambitious data professional who is keen to develop their career within a growing organisation. You will enjoy working with data, solving complex problems and collaborating with others to deliver practical, business-focused solutions. You are likely to bring:
- Experience in a Data Engineer or similar role.
- Strong proficiency in SQL and experience with Python or a similar programming language.
- Hands-on experience with data modelling.
- Exposure to cloud platforms such as AWS, Azure or GCP.
- Strong analytical and problem-solving capabilities, with attention to detail.
- Good communication skills and the ability to work effectively with both technical and non-technical stakeholders.
- A proactive attitude and genuine enthusiasm for data and technology.
Data Engineer in Manchester employer: Nigel Wright Group
Join a fast-growing, family-run organisation that prioritises a people-focused environment and values-led culture. As a Data Engineer, you will have the opportunity to work closely with senior technical leadership, contributing to the development of a robust data platform while enjoying a supportive atmosphere that fosters learning and career progression. With a commitment to employee growth and a dynamic work culture, this role offers a unique chance to make a meaningful impact in a rapidly expanding business.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨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 data projects, whether it's a GitHub repo or a personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your proficiency in SQL, Python, and any cloud platforms you've worked with. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of past projects or challenges you've tackled that relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills:In your application, don’t shy away from discussing complex problems you've solved using data. We love seeing how you approach challenges and what solutions you've implemented, especially if they led to improved performance or efficiency.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Nigel Wright Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any cloud platforms like AWS or Azure that you've worked with. This will show your technical prowess and how you can contribute to their data infrastructure.
✨Showcase Problem-Solving Skills
Prepare examples of complex problems you've solved in previous roles. Think about how you approached the issue, the steps you took, and the outcome. This will demonstrate your analytical capabilities and your proactive attitude towards tackling challenges.
✨Understand Their Business
Research the company and its values. Understand how they use data to drive decision-making and improve performance. Being able to articulate how your skills align with their goals will make a strong impression and show that you're genuinely interested in the role.
✨Communicate Effectively
Practice explaining technical concepts in simple terms. You'll likely be working with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Use clear examples to illustrate your points during the interview.
