Data Product Lead/Engineer

Greystar (International); Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive pension

Healthcare

Holiday allowance

Job summary

A leading real estate firm in Greater London is seeking an experienced Data Product professional to shape domain-aligned data products. In this role, you will define and govern data frameworks, partner with analytics teams, and enforce data quality across multiple lines of business. Candidates should bring over 5 years of relevant experience, proficiency in SQL and Python, and familiarity with modern data platforms. This role offers an array of benefits, including a competitive pension and healthcare options.

Qualifications

• 5+ years of experience in Data Product, Data Architecture, or Analytics Engineering.
• Strong organizational skills with hands-on Agile delivery experience.
• Ability to manage stakeholders and translate complex concepts into business outcomes.

Responsibilities

• Define grain, primary keys, and conformed dimensions for data products.
• Serve as primary point of contact for analytics teams.
• Ensure governance requirements are embedded into data products.

Skills

SQL

Python

Data Governance

Agile Delivery

Dimensional Modelling

Tools

Databricks

Snowflake

Azure Data Factory

Job description

The Data Product position is accountable for defining, governing, and evolving domain-aligned data products in alignment with Greystar’s data strategy. Partnering closely with Data Engineers and Architects, this role ensures that data products built are architecturally aligned, properly modelled, governed, scalable, and usable across the organization. You will act as the primary point of contact for Line of Business (LOB) analytics teams, define roadmaps and priorities, translate business requirements into actionable data product features and enable self-service analytics by ensuring business teams can use curated data assets. While you will not build pipelines they are technically fluent in how data pipelines, ingestion patterns, and dimensional models operate within a modern lakehouse architecture.

Key Responsibilities

• Define grain, primary keys, and conformed dimensions for gold-layer data products.
• Author detailed source-to-target mappings across bronze → silver → gold transformations.
• Partner with engineering on normalized vs dimensional modelling trade-offs.
• Validate modelling strategy (SCD types, surrogate keys, etc).
• Define data contracts between upstream ingestion pipelines and downstream consumers.

Stakeholder Alignment & Road Mapping

• Serve as the primary point of contact for the analytics teams they support.
• Define and manage the roadmap and priorities for data initiatives in partnership with analytics leaders.
• Provide updates on backlog progress, risks, dependencies, and timelines to stakeholders.
• Own and prioritize the Data Marketplace (DMP) backlog in alignment with engineering capacity, business needs and architectural constraints.
• Translate business requirements into transformation logic, schema changes, acceptance criteria, and data quality rules.
• Balance feature delivery with platform stability and technical debt considerations.
• Perform testing and validation to ensure acceptance criteria is met and data deployed to production is of high quality and able to drive business value.

Data Quality & Governance Enforcement

• Ensure consistency of business rules and data definitions across multiple LOBs; coordinate with Governance to resolve misalignments.
• Ensure governance requirements (RBAC, PII masking, compliance controls) are embedded into data products.
• Surface and escalate conflicting business requirements to governance teams, helping drive consensus.
• Support root‑cause analysis of data defects in partnership with engineering.

Prototyping & Validation

• Use SQL and Python to support just‑in‑time analysis and prototyping for the analytics teams.
• Develop lightweight prototypes demonstrating gold dataset usability.
• Ensure datasets are analytics‑ready and optimized for Power BI / enterprise consumption.
• Drive reuse of shared enterprise assets instead of LOB‑specific duplications.
• Facilitate resolution of conflicting business rules with governance teams.
• Communicate and answer questions about upcoming releases and articulate business values the changes will enable.

About You

You bring 5+ years of experience across Data Product, Data Architecture, Analytics Engineering or similar data‑focused roles, combined with strong organisational skills and hands‑on Agile delivery experience. You are confident managing stakeholders and translating complex technical concepts into clear business outcomes. With advanced SQL skills and working knowledge of Python, you understand dimensional modelling, data normalisation, and batch ETL design, including schema evolution. You are comfortable working with modern data platforms such as Databricks, Snowflake and Azure Data Factory, and have a solid grasp of enterprise data governance and data quality best practices.

What We Offer

We include a range of benefits for our corporate team members, including competitive pension, healthcare, and holiday allowance, amongst others as standard. Please reach out if you are keen to know more.

About Greystar

Greystar is a leading, fully integrated real estate company offering expertise in investment management, development, and management of rental housing properties globally. The company's business model is unique in its ability to own, operate, and develop multifamily, student, and senior housing across the globe. Building a global platform with a local presence, Greystar continues to expand its geographic reach around the world, bringing a globally interconnected professional rental housing platform and industry funded with institutional capital to countries where the sector does not yet exist. Greystar’s pan – European platform was established in 2013 and has scaled rapidly, now with investment, operational and development presence in the UK, Ireland, France, the Netherlands, Germany, Austria, and Spain.

One of Greystar’s core values is Equality, and as such, we continue to pride ourselves on being an equal opportunities employer, accounting for all protected and identifiable characteristics. We truly value diversity of thought, background and of experience. Please reach out to the Talent Acquisition team to explore opportunities at Greystar in more detail or visit our careers site at https://jobs.greystar.com/.