Auf einen Blick
- Aufgaben: Design and maintain data pipelines for a leading advertising platform.
- Arbeitgeber: Join a global leader in Commerce Advertising, connecting thousands of publishers and advertisers worldwide.
- Mitarbeitervorteile: Enjoy remote work flexibility and the chance to work with cutting-edge technologies.
- Warum dieser Job: Be part of a dynamic team driving data-driven decisions and innovation in the advertising space.
- Gewünschte Qualifikationen: 3+ years in data engineering; proficient in Python and modern data tools.
- Andere Informationen: This role is exclusively for candidates based in the Philippines.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
We are looking for an exceptional Senior Data Engineer to work in a remote setup for our Europe-based client. For this role, we only process candidates who are based in the Philippines and have legal authorization to work in the Philippines.
In this role, you will collaborate with cross-functional teams to design and develop robust data pipelines that empower data-driven decision-making across the organization. You\’ll have the opportunity to design, build, and maintain a cutting-edge data platform, ensuring data accuracy, consistency, and reliability. Working closely with data analysts and backend developers, you will play a key role in fostering a data-driven culture and ensuring our infrastructure scales as we grow.
About the OTA Client
- A leading Commerce Advertising platform, connects over 5,500 publishers, 55,000 advertisers, and 100 networks in 160+ countries.
- It combines the expertise of five market leaders: digidip, specializing in premium publishers; MaxBounty, focused on direct partnerships; shopping24, offering product recommendations; SourceKnowledge, a CPC platform; and Yieldkit, delivering high reach and performance.
- Backed by Waterland private equity, employs over 160 professionals with offices in Hamburg, Berlin, Montreal, and Ottawa.
- Our culture runs on trust, friendliness, and collegiality, fostering a positive work atmosphere. Working with us is easy and fun just ask our clients, who we help to reach their goals in an uncomplicated, reliable way.
- In close cooperation with our partners, we provide advertising formats that offer genuine relevance for our users and, as a result, lead to higher sales.
Key Responsibilities:
- Contribute to building and maintaining data pipelines and the data platform.
- Manage data ingestion from various sources, optimizing for efficiency and reliability.
- Collaborate with data analysts on complex data transformations, implementing orchestration tools and quality checks.
- Oversee the operational aspects of the data platform, including performance tuning and capacity management.
- As part of the team, engage in continuous learning, reviewing, and adapting, while fostering a culture of shared ownership and decision-making. Build solutions that are effective now and adaptable for the future.
- Mentor and guide junior team members, promoting best practices in data engineering.
Qualifications:
- Proven experience with large-scale distributed data workloads.
- Advanced SQL and OLAP skills, with experience developing data pipelines and models, and working with data at scale.
- Familiarity with Docker, Kubernetes (EKS) usage and management.
- Excellent communication skills; values teamwork and believes a team is more than the sum of its parts. Enjoys mentoring and sharing knowledge with others.
- Autonomous, proactive, and customer-oriented mindset with a strong sense of ownership over projects.
- Proven experience with Analytical Engineering and Data modeling.
- Proven experience with data governance, quality, and compliance practices.
Nice to have:
- Experience with other programming languages like Java or Scala.
- Experience with streaming and pub-sub technologies.
- Previous experience in deploying and running ML models.
- Expertise in both real-time and batch data processing, and building pipelines for analytical and ML use cases.
Our Preferred Tech Stack:
- Strong knowledge of Python and SQL.
- Modern data stack tool Airbyte/Fivetran, Dagster, and dbt for building pipelines.
- Extensive experience with AWS is strongly preferred, but we are ready to consider candidates with strong knowledge of other cloud platforms.
- OLAP systems like Clickhouse, Snowflake, Redshift, or Databricks.
- Streaming technologies like Kafka, Kinesis.
- IaC tools like Terraform.
Your Opportunity:
- Take an active role in shaping an innovative, growth-oriented international corporate group from its early stages; seize the opportunity to become irreplaceable!
- Take on responsibility as you become an important part of a young, ambitious, and friendly team with a shared desire to develop its skills.
- Enjoy opportunities to work independently, with flexible hours and hybrid remote/office working options.
- Enjoy top-notch employee benefits: 30 paid vacation days, the latest tech, individual development plan, prepaid spending card (50 monthly budget), and much more.
- Take your skills, talents, and career to the next level as you grow with us.
Have we convinced you? Then we can\’t wait to read your application!
All our employees have equal career opportunities, regardless of gender, origin, ethnicity, religion, sexual orientation, age, or other personal attributes. Candidates will be considered and selected equally based on their skills, qualifications, and the needs of the company. We know that experience and skills are matters of development and gain while working. Therefore, we encourage you to apply even if your profile does not meet 100% of the requirements for this position.
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Senior Data Engineer for Advertising Platform (Remote, PH-based only) Arbeitgeber: OneTeamAnywhere
Kontaktperson:
OneTeamAnywhere HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer for Advertising Platform (Remote, PH-based only)
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Airflow, Airbyte, and dbt. Having hands-on experience or projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with cloud-based data platforms. If you've worked on similar projects, be ready to discuss how you ensured data accuracy and reliability in those environments.
✨Tip Number 3
Showcase your collaboration skills by preparing examples of how you've effectively communicated with both technical and non-technical teams in past roles. This is crucial for the cross-functional teamwork emphasized in the job.
✨Tip Number 4
Stay updated on the latest trends in data engineering and governance. Being able to discuss recent advancements or technologies during your interview can demonstrate your commitment to continuous learning and innovation.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer for Advertising Platform (Remote, PH-based only)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and modern data tools. Emphasize any relevant projects or roles that showcase your ability to design and maintain data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the responsibilities listed, such as your work with data warehousing or CI/CD practices.
Showcase Technical Skills: Clearly outline your technical skills related to the job description, including your proficiency in Python, experience with REST APIs, and familiarity with tools like Airflow or dbt. This will help demonstrate your fit for the position.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of how you've successfully collaborated with both technical and non-technical stakeholders in previous roles. This will show your strong communication skills.
Wie du dich auf ein Vorstellungsgespräch bei OneTeamAnywhere vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and the tools mentioned in the job description, such as Airflow and dbt. Highlight specific projects where you built data pipelines or worked with REST APIs, as this will demonstrate your hands-on expertise.
✨Emphasize Collaboration
Since the role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with both technical and non-technical stakeholders in the past. This will show that you can bridge the gap between different departments.
✨Discuss Data Quality Practices
Prepare to talk about your approach to ensuring data accuracy and reliability. Discuss any experience you have with data governance and quality assurance practices, as these are crucial for the role.
✨Stay Updated on New Technologies
The job requires exploring and integrating new technologies. Mention any recent tools or methodologies you've learned about or implemented in your work. This shows your commitment to innovation and continuous improvement in data engineering.