Senior Data Engineer - Budapest / Remote from Hungary
Budapest / Remote from Hungary
eyeo
eyeo. fair. for everyone. Enhance your online browsing with our solutions and say goodbye to intrusive ads and enjoy a seamless, trusted and safe online experience.Get to know us
At eyeo, we transform the internet into a trusted, sustainable and accessible place where users regain control over their experience, content creators and publishers are rewarded for their content, and advertisers and consumers can connect on mutually agreed terms.
With multiple brands across the ad tech space, eyeo offers solutions for publishers, advertisers, ad-tech solutions providers and over 400 million ad-filtering users worldwide. eyeo’s market-leading ad-filtering technology powers products like Adblock Plus and AdBlock as well as technical integrations for popular browsers and smartphone OEMs.
Our subsidiary, Blockthrough, is the most popular ad block recovery solution among the Comscore-150, offering premium demand via direct seats with top-tier SSPs, allowing effective content monetization and providing a platform where publishers and advertisers can efficiently transact.
We believe in creating a positive and empowering workplace where work-life balance is a priority. With a dedicated learning and development budget, you'll have the tools to grow and advance your skills while contributing to clearly defined personal and company goals. Our people-first culture ensures you feel appreciated for your work and know that your contributions truly matter.
Your day-to-day activities
The Data Platform team is going through a period of transformation, with the goal of ensuring that our foundations for data processing are scalable and ready for a future where we handle data from hundreds of millions of users.
We are looking for a Senior Data Engineer to help drive this transformation, by increasing our platforms' performance, streamlining processes and continuing to ensure that we respect our users' privacy. You’ll have the opportunity to influence team culture, and work with your team members on both strategy and execution.
- Design and build data platforms, endpoints and pipelines that meet business requirements and enable stakeholders to make more data-driven decisions, without losing track of technical quality and maintainability
- Actively collaborate with teams across all of eyeo (like browser extension developers, data analysts and legal counsels) to design data collection systems that are compliant with regulations and respect user privacy
- Manage software from proof-on-concept to deployment, to operation, and finally deprecation; and manage data through ingestion, access, schema changes and deletion
- Improve both our software and data lifecycle processes
- Implement strategies to ensure that data is accurate, complete, timely and consistent
- Identify, design and implement process improvements: automating manual processes, simplifying collaboration with data analysts, etc
- Contribute to ongoing management of our platforms, including performance monitoring, troubleshooting and resolution of technical issues
- Be a multiplier in your team, encouraging debate, and helping to create an environment that fosters learning and growth
What you bring to the table
- Experience translating data strategy into scalable, fault-tolerant architectures
- Familiarity with different approaches to data architecture: warehouse, lake, mesh, batch vs streaming, ETL vs ELT, etc., and how they can be leveraged in different use cases
- Experience in Python and common data libraries and platforms such as Airflow, Pandas, PySpark, etc
- Experience with cloud services (ideally Google Cloud), including managing infrastructure with Terraform
- Expertise with advanced SQL queries and query optimization, ideally in BigQuery
- Passion about introducing engineering best practices, for instance to ensure testability, data quality and completeness, etc
- Excellent communication and collaboration skills, both with engineers and non-technical stakeholders
It’s awesome if you have
- Experience in Go
- Experience with data visualization tools
- Experience working in globally distributed, cross-functional teams (our team has members in the CET and ET time zones)
- Familiarity with the ad tech sector
How and where we work
eyeo is a global employer with over 300 colleagues based all over the world. We love our diversity and take great pride in our company culture. We practice an independent, remote workstyle with work distributed in cross-functional matrix teams that span predominantly EST and CET time zones. If working remotely isn’t for you, we also have our HQ in Berlin and offices in Cologne, Toronto and soon in NYC that you can choose to work from. Our in-person team and company meetings foster community and collaboration. By enabling remote work and in-person sessions, we have built a culture that provides a unique dynamic of flexibility and belonging.
What we offer
- Work remotely or from one of our offices —we trust you to find what works best for you
- Full package of benefits* (health insurance, choice of hardware, paid vacation days, professional development and relocation budget, sabbatical leave, etc.)
*Some benefits vary subject to the hiring location
Equal Opportunity Statement
At eyeo, we are committed to fostering an inclusive environment where every employee is empowered to thrive. We believe that the diversity of our backgrounds and experiences enhances our products and services, and we take pride in being a safe space for everyone.
All qualified applicants will receive equal consideration for employment, regardless of race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical ability, or duration of unemployment. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued and respected.
Privacy Notice
When you apply, you’ll be automatically forwarded to our recruitment platform operated by an external service provider called Greenhouse (seated in the US). Greenhouse collects some information on its website, such as anonymous usage statistics, by using cookies, server logs, and other similar technology. For more information, please refer to Greenhouse’s Privacy Policy. All documents and information provided by you are stored with Greenhouse. In order to ensure an adequate level of data protection, eyeo and Greenhouse have entered into the EU Standard Contractual Clauses (“processors”) - Commission Decision C(2010)593. You can request a copy of this by contacting us at privacy[at]eyeo.com. If you don’t want your data forwarded to Greenhouse, please do not apply. For detailed and further information, please refer to our Privacy Policy at https://eyeo.com/en/privacy.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture BigQuery Data quality Data strategy Data visualization ELT Engineering ETL GCP Google Cloud Pandas Pipelines Privacy PySpark Python SQL Statistics Streaming Terraform
Perks/benefits: Career development Health care Paid sabbatical Relocation support
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