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- Tasks: Develop 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: Enjoy competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a commitment to sustainability and innovation.
- Why this job: Make a real impact by driving analytics and BI capabilities in a growing team.
- 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.
- Data Pipeline: Azure Data Factory, Azure Functions
- Languages: dbt, Python, SQL
- 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
Requirements:
- 3-5 years Data Engineering experience
- Strong SQL and Python skills
- BI tools (Power BI, Tableau) and CI/CD expertise also nice to have
- Ability to work 50% in the office in Bristol
Senior Engineer, Data Engineering employer: Method-Resourcing
Contact Detail:
Method-Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or similar organisations on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise in Python, SQL, and data pipelines.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss how you’ve implemented data quality checks and optimised performance in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making the application process smooth and easy, so take advantage of that and get your application in today.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, Azure Data Factory, and the languages mentioned in the job description. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've built or maintained data pipelines. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure you communicate your passion for data engineering and how you can contribute to our team.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Method-Resourcing
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Python, and SQL. Brush up on your knowledge of dbt and how it integrates with data pipelines. Being able to discuss specific projects where you've used these technologies will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or optimised performance in previous roles. Companies love candidates who can demonstrate their analytical thinking and ability to translate complex requirements into reliable data solutions.
✨Communicate Clearly
Since you'll be partnering with analysts and stakeholders, practice explaining technical concepts in a way that's easy to understand. This will help you stand out as someone who can bridge the gap between tech and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data practices and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Plus, it gives you a chance to engage with your interviewers!