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- Tasks: Build and maintain data pipelines using Azure technologies and collaborate with analysts.
- Company: Join a certified B Corp focused on tech for good in vibrant Central Bristol.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a supportive team and great career prospects.
- Why this job: Make a real impact by developing reliable data solutions for meaningful projects.
- Qualifications: 3-5 years of Data Engineering experience with strong SQL and Python skills.
The predicted salary is between 45000 - 55000 £ per year.
Method Resourcing are delighted to partner with a certified B Corp, "tech for good" organization based in Central Bristol looking to hire a Data Engineer to join their talented team as they enjoy a sustained period of growth.
The chosen candidate will develop and maintain the pipelines and transformations that drive their analytics and BI capabilities, working alongside analysts and stakeholders to produce reliable data products using modern data engineering practices.
Tech stack:
- Cloud: Azure
- Data Pipeline: Azure Data Factory, Azure Functions
- Languages: dbt, Python, SQL
- Version Control: Azure DevOps Git
Responsibilities:
- Build and maintain data pipelines using ADF, Python, and dbt across the Azure infrastructure (Container Apps & Functions)
- Write efficient SQL and stored procedures to transform and model data
- Implement data quality checks, monitoring, and performance optimization
- Document data flows, transformations, and lineage
- Partner with analysts to translate requirements into reliable data solutions
About you:
- 3-5 years Data Engineering experience
- Strong SQL and Python skills
- Proven track record working with the Azure technology stack
- Snowflake experience highly beneficial
- BI tools (Power BI, Tableau) and CI/CD expertise also nice to have
- Ability to work 50% in the office in Bristol
Please get in touch today to find out more.
Data Engineer employer: Method-Resourcing
Contact Detail:
Method-Resourcing 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 folks in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This is a great way to demonstrate your expertise in SQL, Python, and Azure, making you more appealing to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines or optimising performance – it’ll show you know your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, SQL, and Python. We want to see how your skills align with the role of Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
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 contribute to our 'tech for good' mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or using BI tools, we want to know what you've done and how it relates to the role. Links to GitHub or portfolio sites are a bonus!
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 Method-Resourcing
✨Know Your Tech Stack
Make sure you’re well-versed in the Azure tech stack mentioned in the job description. Brush up on Azure Data Factory, Azure Functions, and how to use dbt with Python and SQL. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built or maintained data pipelines. Think about challenges you faced and how you optimised performance or ensured data quality. This will demonstrate your hands-on experience and ability to tackle real-world problems.
✨Communicate Clearly with Analysts
Since you'll be partnering with analysts, practice explaining technical concepts in a way that's easy to understand. Be ready to discuss how you've translated requirements into data solutions in the past. This shows you can bridge the gap between technical and non-technical teams.
✨Prepare Questions About Company Culture
As a 'tech for good' organisation, they’ll likely value collaboration and innovation. Prepare thoughtful questions about their culture and how they support their team’s growth. This not only shows your interest but also helps you gauge if it’s the right fit for you.