Data Engineer
Immoweb S.A.
Région
Contrat
Introduction
Immoweb is the largest real estate website on the Belgian market for buying or renting houses, apartments, building plots, garages, offices, and commercial properties.
Within the Axel Springer group, one of the world leading digital publishers that employs more than 16000 people in over 40 countries worldwide, Immoweb is part of the Axel Springer Subsidiary named “group AVIV”.
The AVIV group was founded by Axel Springer in 2018 and has its main focus on digital activities in relation with Real Estate in Europe. This group includes well-known websites such as seLoger.com, Logic-Immo and Meilleures Agents in France and Immowelt in Germany.
Vos responsabilités
As Immoweb is currently transforming itself, we are currently looking for a solid Data Engineer to join our Business & Customer Intelligence team and to help us build a data-driven company.
Data is crucial for Immoweb (internally and externally).
The aims of the BCI team are:
- to build a "one truth" system where all question can be answered
- to offer pre-defined reports and dashboards
- to promote self-service culture
- to provide insights
The BCI team is currently reviewing the whole data flow from the different data sources to the reports/dashboards via a new data lake/warehouse. So you have the chance to come in and help us build this new environment. This environment is crucial for Immoweb in order to achieve his targets.
The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Responsibilities
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
- Work with data and analytics experts to strive for greater functionality in our data systems
Votre profil
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience building and optimizing 'big data' data pipelines, architectures and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
- Strong project management and organizational skills
- Experience supporting and working with cross-functional teams in a dynamic environment
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Big Data: Hadoop, Spark, AWS Glue, EMR
- Databases: SQL Server, PostgreSQL, AWS Redshift, ElasticSearch and DynamoDB.
- Orchestration: AWS Step Functions
- Other AWS Services: Cloudformation, S3
- Programming languages: Python
The candidate must be fluent in English (French or Dutch are a plus).
Notre offre
- A professional and stimulating environment in which trust, respect and team spirit are key values
- Opportunities for personal development (training)
- Autonomy, responsibility and a challenging job
- Work-life balance: working from home, flexible working hours
- A dynamic, open and collaborative corporate culture
- Well-being: showers, fruit, fun room, team-building, end-of-year dinner, happy hours, ...
- A leading company with a strong sense of social responsibility (green team, inclusion team, charity work, digital accessibility for all)
- An attractive salary package commensurate with your experience