Data Quality Engineer

Company Description

We are an equal opportunities employer and place where everyone is welcome. We strongly encourage people from minority backgrounds, LGBTQIA+, parents, and individuals with disabilities to apply. If you need reasonable adjustments at any point in the application or interview process, please let us know.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

We’re 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!  Some of Europe’s best known digital real estate marketplaces and brands form part of our Group, they are: 🇫🇷 Meilleurs Agents, 🇫🇷 Groupe SeLoger, 🇧🇪 Immoweb, 🇩🇪 Immowelt, 🇪🇸 Housell and 🇮🇱 Yad2.

We also invest in innovative business models which shape the future of how people buy, sell, rent or lend properties and hold minority participations in companies such as: 🇬🇧 PurpleBricks, 🇩🇪 Homeday, 🇺🇸 Zumper and 🇺🇸 Parcel.

Our ambition is to be the leading Employer in PropTech across Europe and this is a pivotal time to join us as we embark on this journey enabling us to help unlock everyone’s perfect place!

Qualifications

WHAT WE DO IN Marketplace Design– Product and Tech at AVIV

The Marketplace Design Domain at AVIV group is part of the Product & Tech organization and its objective is to deliver the internal services that powers Actor teams to brings safety, trustworthiness and remove opacity from the experience.

Building on local expertise from Immowelt (Germany & Austria), Immoweb (Belgium), Groupe SeLoger and Meilleurs Agents (France), we deliver fraud / cheat / information reliability assessment services to raise marketplace safety and reliability in the interactions between Seekers and Owner / Agent.

KEY RESPONSIBILITIES

• You'll be part of an agile, multidisciplinary, international  team and work closely with them to Identify data quality issues, and implement solutions to verify, validate, and monitor data quality

• contributes to analysis of data issues and help identifying business processes and technical improvements that contribute to higher quality data.

• Work with the product team to establish data quality standards within the sprints, defines data quality dimensions and profiling.

• Define data quality dimensions with the data stakeholders. Data profiling in collaboration with data engineers. Data cleansing when applicable.

• Work with product owners and data engineers to improve the overall experience by suggesting improvements and changes

• Design and maintain Data Qualiy reports for the internal data systems

• Develop test strategies for automation

• Write and execute both functional and non-functional data tests

• You convince with your analytical way of thinking

WHAT YOU SHOULD BRING

Perfect knowledge of Data Quality basics

Experience as Data Engineer, OR Data Analyst

Practical experience working with agile methodologies

You are comfortable reading and writing code in at least one programming language, ideally java, scala or python

Good practice of sql

Experience with CI/CD Tools

Good level in English. Traveling from time to time is available

IS A PLUS

Data Governance principles

Practical experience creating and maintaining ETL

Experience in automating Big data and ETL tests

Basics in cloud experience like AWS, GCP, AZURE

ISTQB Certification

Experience with performance, GDPR, accessibility, interoperability and security testing

OUR TECHNICAL STACK:

Spark, scala

Git, circleci

AWS (CloudFormation, EMR, S3, Glue, Athena, RDS, SNS/SQS, StepFunctions)

Java, Python

Jupyter notebook