Senior Data Engineer for Advertising Platform (Remote, PH-based only)

OneTeamAnywhere; Berlin; Remote; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

An innovative company is seeking a Senior Data Engineer to join a dynamic team in a remote setting. This role involves designing and developing robust data pipelines that empower data-driven decision-making. You'll have the chance to work with cutting-edge technologies and collaborate with talented professionals to enhance data accuracy and reliability. The ideal candidate will have a strong background in data engineering, SQL, and cloud platforms, and will play a crucial role in fostering a data-driven culture within the organization. Join us and take your career to the next level while enjoying a flexible work environment and excellent employee benefits.

Leistungen

30 paid vacation days

Latest tech

Individual development plan

Prepaid spending card (50 monthly budget)

Flexible hours

Hybrid working options

Qualifikationen

• Proven experience with large-scale distributed data workloads and data governance.
• Advanced SQL skills and experience with data modeling and pipelines.

Aufgaben

• Build and maintain data pipelines and manage data ingestion from various sources.
• Collaborate with data analysts on data transformations and quality checks.

Kenntnisse

Data Engineering

SQL

Analytical Engineering

Data Modeling

Communication Skills

Mentoring

Proactive Mindset

Ausbildung

Bachelor's Degree in Computer Science or related field

Tools

Docker

Kubernetes

Airbyte

Fivetran

Dagster

dbt

AWS

Clickhouse

Snowflake

Terraform

Jobbeschreibung

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.