At a Glance
- Tasks: Design and maintain scalable data pipelines using Python and SQL.
- Company: Join a growing tech business with a collaborative culture in Manchester.
- Benefits: Competitive salary, hybrid working, and opportunities for professional development.
- Other info: Influence the future of data platforms in a dynamic environment.
- Why this job: Make a real impact on data accessibility and quality in a modern organisation.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 65000 - 80000 £ per year.
Role overview
- Data Engineer
- Location Manchester / Hybrid
- Type Permanent
- Sector Data & AI
- Reference BW-DATA-001
The opportunity
Birchwell Associates is supporting a growing technology business in the search for a Data Engineer.
This position will suit someone who enjoys building dependable data platforms, improving data quality and making information more accessible across a modern organisation.
You will work alongside software, analytics, product and cloud teams to develop reliable data pipelines, strengthen the wider Azure environment and support better commercial decision-making.
- What you will be doing
- Design, build and maintain scalable data pipelines using Python and SQL.
- Develop and improve data services within a Microsoft Azure environment.
- Integrate data from multiple internal and external sources.
- Improve data quality, reliability and monitoring across the platform.
- Work with analysts and stakeholders to understand reporting and data requirements.
- Contribute to technical standards, documentation and engineering best practice.
- What we are looking for
- Commercial experience in data engineering or a closely related role.
- Strong Python and SQL skills.
- Experience with Azure data services or a comparable cloud platform.
- Knowledge of ETL or ELT pipelines, data modelling and warehouse concepts.
- Experience working with version control, testing and deployment processes.
- Clear communication and confidence working with technical and non-technical colleagues.
- What is on offer
- Salary between £65,000 and £80,000, depending on experience.
- Hybrid working from Manchester.
- A role with influence over the future data platform and engineering standards.
- Modern cloud tooling and a collaborative technology environment.
- Clear scope for professional development as the data function continues to grow.
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Data Engineer in Manchester employer: Birchwell Digital
Birchwell Associates is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have access to leadership opportunities and professional development while working alongside talented professionals in a supportive environment. The hybrid nature of this role allows for flexibility, ensuring a healthy work-life balance as you lead a multi-disciplinary team towards delivering high-quality software solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨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 Birchwell Digital!
✨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 Data Engineer at Birchwell Digital.
✨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 Birchwell Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Birchwell Digital, 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 Data Engineer in Manchester
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 Birchwell Digital, 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 Birchwell Digital. 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 Birchwell Digital
✨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 Birchwell Digital!
✨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.
