Bewirb dich jetzt als Data Engineer (M/W/D) bei AVIV Group in Berlin – Deine neue Karriere

You'll be joining one of the world’s largest privately owned real estate tech companies and a subsidiary of Axel Springer. Our mission is to unlock everyone’s perfect place! You'll work across some of Europe’s best known digital real estate brands including: Meilleurs Agents, Groupe SeLoger, Immoweb, Immowelt, Housell and Yad2.

You’re most productive when you have the freedom to work with true flexibility.

That’s what we offer you here at AVIV Group.

You'll work with this high performing team to build a common platform that powers multiple brands and helps us become the go-to destination for all things property-related.

Engineer’s play a key role in enhancing our customer's home shopping experience by using a combination of open source software, cloud solutions, and data-driven approaches to build innovative solutions.

WHAT WE DO AT MARKETPLACE DESIGN

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.

Your Responsibilities

As a Senior Data Engineer in the Actors Dynamics teams of Marketplace Dynamics, and working closely with all the members of your team, you work on the qualification, rating and scoring capabilities of the user behaviours, from data collection strategy to the delivery of heavily data powered capabilities intended to be embedded into the final user experiences, as well as building the “perfect fit feeling” for anyone who uses the Aviv marketplace. Whether the user is a buyer, a seller, an agent, a promoter, a landlord, or a service provider, the homes, leads, or services they’re being offered must help achieve their real estate project or run their business like a breeze. You deliver heavily data powered matching, sorting, advertising and yield management capabilities intended to drive the final user experience to their end.

As a senior team member, you create, improve and enhance the technical data/ML stack, and help your fellow engineers to improve their skills.

WE ARE LOOKING FOR AN INDIVIDUAL WHO CAN:

• Help increase 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).
• Participate in the quality of the code delivered by its team.

Our Stack

• AWS (CloudFormation, EC2, EMR, Lambda, ECS, Glue, Athena)
• Docker
• Apache (Spark, Parquet, Hudi)
• SQL and Microsoft BI Tools: SSIS, SSAS
• Github, CircleCI, Datadog
• Scala & Java (main languages), Python/ TypeScript (secondary languages)

AN INDIVIDUAL WHO HAS:

• Several years of professional experience in data engineering and ML engineering.
• Are proficient in SQL and Microsoft BI Tools: SSIS, SSAS
• Ability to adapt to the most