.WELCOME TO OLXAt OLX, we work together to build a more sustainable world through trade .We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more.
Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom, Property24.Join OLX and see how far you can go .A Staff Engineer position is available in the EU Data Engineering team, Data Platform.
Reporting to the Head of Data Engineering, you will be able to lead shaping the future of our Data Stack.You will work alongside a Principal Data Engineer, two Lead Software Engineers (Frontend and Backend), a Data Engineering Manager (with a team of six Data Engineers) and a Software Engineering Manager (with a team of seven Software Engineers).As a Staff Engineer, you will be expected to take ownership of key components of our Data Stack and drive technical decisions aligned with our overall data platform architecture.
Although not owning the architecture vision of our Data Stack, you will have the opportunity to influence its direction by partnering with other Leads and the Principal Data Engineer.You will serve as a role model to more junior team members, perform peer code reviews, help them grow their skills, and act as a technical guide.
You will help the team execute and set technical standards.Responsibilities:Gain a comprehensive understanding of the architecture of our web platforms across different CUs (OLX, Real Estate, Motors), and identify pain points where tracking is inconsistent or challenging.
Achieve this by interviewing engineering managers and individual contributors.Develop an implementation framework that aligns with the technical realities of all CUs and addresses identified pain points to enhance the accuracy of user behavior measurement.
You will have support from the Chief Data Officer and Engineering Managers.
Existing pain points have been outlined.Design the framework to automatically push metadata from the code to our central metadata repository, reducing manual work on event and property creation.Collaborate with product analytics and data service teams to coordinate necessary implementation changes to improve tracking accuracy, such as modifying event types, fixing implementation errors, and ensuring seamless information transmission across codebases.Audit the implementation of GA4 and provide guidance on maximizing its potential.
Currently, GA4 is underutilized (20-30% of its capacity) and may not be correctly implemented according to GA recommendations.
Ensure proper implementation in our internal tracking solution and follow best practices for GA4.Skills we're looking for:AWS data ecosystemExperience with tracking systems (e.G