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- Tasks: Develop and optimise ETL processes using Databricks and create robust data pipelines.
- Company: Join Peabody, a leading non-profit organisation focused on community impact.
- Benefits: Enjoy flexible benefits, additional paid volunteering days, and a strong pension contribution.
- Why this job: Make a meaningful impact by delivering cutting-edge Azure data solutions.
- Qualifications: Proficient in SQL, experienced with Databricks, and knowledgeable in data governance.
- Other info: Collaborative environment with opportunities for innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Azure Data Engineer role at Peabody. Specialising in recruitment of corporate roles for Peabody Housing Group.
Job details:
- Number of Positions: 1
- Contract Type: Permanent, Full Time
- Working Hours: 35
Our Vacancy:
As an Azure Data Engineer, you’ll be responsible for developing and optimising ETL processes using Databricks, crafting robust data pipelines, and ensuring seamless integration into Data Lakes and other storage solutions. You’ll apply best practices in data management, governance, and quality assurance, while building secure and accessible data architectures that support a cohesive data ecosystem. You’re a people person who likes to get things done. You’ll enjoy working collaboratively with data scientists, analysts, and stakeholders to understand business needs and deliver tailored solutions. You’ll also partner with IT, Digital, and DevOps teams to ensure smooth deployment and integration of data services, while offering technical guidance and mentorship to fellow engineers. You’ll need to be in the office for a minimum of 2 days per week. We’re looking for someone who thrives on innovation and continuous improvement. You’ll stay ahead of the curve with the latest trends in big data technologies, evaluate existing processes, and identify opportunities for automation and optimisation. Your contributions will help define and elevate data engineering standards across the organisation. If you’re passionate about data and ready to make a meaningful impact, we want to hear from you.
Success in this role means:
- Delivering cutting-edge Azure data solutions, transforming key data sources to enhance reporting and analytics, and building trustworthy, well-documented data pipelines that improve property services and resident experience.
To be successful in this role, you’re:
- Proficient in advanced SQL and experienced in migrating SSIS packages to Databricks.
- Certified in cloud platforms, ideally holding the Azure Data Engineer Associate certification.
- Deeply knowledgeable in ETL/ELT processes, data warehousing, and data modelling.
- Equipped with strong technical expertise in Databricks, including hands-on experience with Spark, Delta Lake, and MLflow.
- Experienced in implementing enterprise-grade data governance and security standards.
- Capable of resolving complex data issues with precision, insight, and a solutions-oriented mindset.
Here are just a few of the benefits of working at Peabody:
- Two additional paid volunteering days each year.
- Flexible benefits scheme, including family friendly benefits and access to a discount portal.
- 4 x salary life assurance.
- Up to 10% pension contribution.
Interviews will be taking place on 8th September 2025. Are you ready to apply? If you have any questions about this role, please email Talent Specialist, Harry at harry.lund@peabody.org.uk. We may close this advert before the advertised closing date, depending on the number of applications received.
PLEASE NOTE: As an employer, Peabody does not provide sponsorship as a licenced UK employer.
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology
Industries: Non-profit Organizations
Azure Data Engineer in London employer: Peabody
Contact Detail:
Peabody Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer in London
✨Tip Number 1
Get your networking game on! Reach out to the job poster at Peabody and connect with them directly. A friendly message can go a long way in making you stand out from the crowd.
✨Tip Number 2
Show off your skills in a casual chat! If you get the chance, discuss your experience with Databricks and ETL processes during informal conversations. This is your moment to shine and demonstrate your expertise.
✨Tip Number 3
Don’t forget to follow up! After applying, drop a quick message to the hiring team expressing your enthusiasm for the role. It shows you're keen and keeps you on their radar.
✨Tip Number 4
Use our website to apply! We make it easy for you to submit your application and showcase your skills. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Azure Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Azure Data Engineer role. Highlight your experience with ETL processes, Databricks, and any relevant certifications. 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 and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or optimising data architectures, we want to know how you've applied your skills in real-world scenarios.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Peabody
✨Know Your Tech Inside Out
Make sure you brush up on your advanced SQL skills and be ready to discuss your experience with Databricks, Spark, and Delta Lake. Prepare to explain how you've migrated SSIS packages and the challenges you faced during the process.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists, analysts, and IT teams, think of examples where you've successfully collaborated on projects. Be ready to share how you’ve communicated technical concepts to non-technical stakeholders.
✨Demonstrate Your Problem-Solving Mindset
Prepare to discuss specific complex data issues you've resolved in the past. Highlight your solutions-oriented approach and how you ensure data governance and security standards are met while optimising processes.
✨Stay Ahead of the Curve
Research the latest trends in big data technologies and be prepared to discuss how you can apply these innovations at Peabody. Show your enthusiasm for continuous improvement and how you plan to contribute to elevating data engineering standards.
