Lead Software Engineer - Marketplace Supply Quality

Job Description

Team

As the place where all real estate actors gather (home seekers, owners, intermediaries, etc ), the marketplace’s primary success factor is to provide the highest standards in terms of safety, truthfulness, relevance, efficiency and quality of the interactions between each of these actors.

Many factors have an impact on the quality of the marketplace experience, the most prevalent is the users quality, seriousness, and engagement of the marketplace themselves, and the content and information (sale / rent listings, buyers projects descriptions, agencies presentations) they produce by the means of this use.

The Marketplace Design teams’ role is about designing and developing all curation, penalty / reward, gamification, rating, scoring, and matching mechanisms that ensure the engagement of our users is constantly pushed up, and the quality of our content is constantly improving.

That’s what we call Marketplace Dynamics.

As all of these capabilities are heavily data-powered, the Marketplace Design teams are also responsible for Data Governance, Modeling, Quality and the Data Platform and key Data-sets management for all of AVIV.

We call that Data Operations.

The composition and roles of Marketplace Dynamics

Together the teams make up around twelve people for now, including : an Agile Coach, Data & Backend Engineers, Data Scientists & Analysts, Devops Engineers, Enterprise & Solution Architects, Product Managers, QA Engineers

Role

As the Lead Software Engineer for the Supply Quality team in Marketplace Dynamics, and working closely with the Product Managers and the Engineering Managers, you are responsible for the good development practices of your team, for the alignment with the company’s enterprise architecture, and to help the software engineers of your team to improve their technical and delivery skills.

With your team, you work on the quality of what’s on the shelves of our marketplace : the properties for sale or rent. You design data collection strategies and deliver enrichment, deduplication, visibility engine, and classified data quality capabilities to provide the highest possible trust and safety of experience for all actors, and power our real estate pricing and market prediction capabilities.

Here are some examples of projects that you will work on

• Classifieds deduplication
• Visibility Engine
• Classified quality improvement (location, description, category, price, )

Qualifications

What you can expect

• Be accountable for increasing the output of the team and the neighbouring teams it influences. You care about your team and the teams around you.
• Drive technical excellence inside the company, by applying shared gold standards and staying up to date on trends and technology evolution.
• Ensure close collaboration between product and tech. This starts with you and the product managers in your team.
• Focus themselves and the team on outcomes rather than activity. Avoid busy work by aggressively prioritising what your team is working on.
• Identify, design, and implement internal process improvements : automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Act as a Software Craftsman, and understand the reasoning behind it.
• Share knowledge and be open to new ideas.
• Contribute to the entire design and development cycle of our components (analysis, architecture, development, deployment).
• Be responsible for the quality of the code delivered by its team.
• Assess the strengths and weaknesses of the other engineers, and suggest areas for improvement.

About you

• Professional experience in data engineering and ML engineering.
• Experience in leading a team of software engineers.
• Ability to adapt to the most efficient technologies to solve issues.
• Strong communication skills and proficiency in English.
• Agile mindset : direct communication, adaptation, fail fast, continuous improvement.
• A driving force behind high impact business / customer / architecture improvements, and to do so, deeply understands the product served by the technology.
• The ability to take their team to new heights by designing and releasing high quality products on our platforms across Europe to reach our ambitious goals.
• An ambassador mindset, inside and outside of the team, for an outcome-driven culture, and is a role model for technical excellence.
• A rigorous, curious, autonomous and positive behaviour.
• GDPR, security and privacy topics as foundation.
• Both customer-oriented and data-driven practices.

Our Stack

AWS (CloudFormation, EC2, EMR, Lambda, ECS, Glue, Athena), Docker, Apache (Spark, Parquet, Hudi), Jupyter, pandas, Github, CircleCI, Datadog, Scala & Python (main languages), Java / TypeScript (secondary languages)