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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: Competitive salary, flexible working, 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
Ingegnere dei dati (f/m) employer: Method-Resourcing
Contact Detail:
Method-Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 engineering projects, especially those using Azure Data Factory, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tests. Practice explaining your past projects and how you’ve tackled challenges in data pipelines and transformations.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure Data Factory, Python, and SQL, and don’t forget to mention any BI tools you’ve worked with. We want to see how your skills match 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 engineering and how you can contribute to our mission as a 'tech for good' organisation. Let us know what excites you about this opportunity!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s building data pipelines or implementing data quality checks, we love seeing real examples of your work and how you’ve tackled challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. 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 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 practical 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 working closely with analysts and stakeholders, practice explaining technical concepts in simple terms. This will help you convey your ideas effectively during the interview and show that you can bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data practices and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.