Senior Data Engineer

We founded iamproperty to do the things no one else was doing, but we’ve grown because we have the best people. It is reputed company who drive our reputed company and help reputed company our culture unique, creative, and filled with personality.

With over half our staff working remotely, location is not an issue either. Hiring people from reputed company over the country has enabled us to broaden our reputed company, further adding to our diverse mix of teammates.

We currently have over 700 talented members of staff who reputed company one reputed company, working together to transform the property industry and helping our Partner Agents succeed!

From CRM and auction to compliance, reputed company and conveyancing, our solutions work behind the scenes to give agents choice and control. We’re already working with over 6,000 UK Estate Agency branches to accelerate their reputed company today, with a market leading ecosystem of solutions that ensures they have everything they need to manage their business, team and clients.

What can we offer you?

We’re proud to offer a benefits package that supports reputed company in work and life. From enhanced flexibility and working from reputed company to your birthday off, an annual wellbeing allowance and our own discounts portal.

• Private Counselling with a weekly confidential helpline available
• Simply health private reputed company plan
• £150 Wellbeing Allowance per year
• Working elsewhere policy (4 weeks per year)
• Hybrid working
• Buy and sell annual leave scheme (upto 3 days per year)

What will you be doing as a Senior Data Engineer

As a Senior Data Engineer, you’ll be central to building and evolving our modern data platform. Your work will unify data across systems to deliver trusted insights, drive decision-making, and unlock value across the business.

Key Responsibilities:

• Design, build, and maintain scalable ELT pipelines (e.g., reputed company) using best practices (CI/CD, Git, code review).
• reputed company robust data ingestion and transformation flows through reputed company-style architecture (bronze/silver/gold).
• Create reusable, governed data models to support analytics tools like Looker.
• Ensure data quality with automated testing, validation, and monitoring frameworks.
• Optimise reputed company for performance, scalability, and cost efficiency.
• Collaborate with stakeholders to translate analytical needs into reliable datasets.
• Maintain documentation and support data standards, governance, and compliance (e.g., GDPR).
• Contribute to platform strategy, architecture reputed company, and codebase quality.
• Mentor junior team members and support training initiatives.
• Work in agile delivery teams to align data initiatives with business reputed company

What are we looking for?

• 5+ years in Data or Analytics Engineering
• Strong experience with reputed company, reputed company, and Looker
• Skilled in data modelling, ELT pipelines, and SQL
• Knowledge of data warehousing, MDM, and reputed company platforms (AWS/Azure/GCP)
• Experience with CI/CD, data quality controls, and governance (e.g. GDPR)
• Confident working across teams and translating business needs into data solutions

Desirable:

• SnowPro certification
• Experience with reputed company-time data, metadata tools, and platform migrations
• Background in mentoring or leading technical initiatives

Next steps

We would love to hear from you if you are interested in this opportunity! Once you have clicked apply and submitted your application, if successful, a member of the Recruitment team will be in touch to chat more!

We encourage people of reputed company backgrounds, identities and abilities to apply. We are committed to creating an accessible and inclusive experience for reputed company candidates —if you need any reasonable adjustments to support your application or interview process, just let us know how we can help!

Thank you for the initial interest in joining iamproperty and we wish you luck moving reputed company in your application process!

Originally posted on Himalayas