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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

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