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

OneTeamAnywhere; Berlin; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology firm is seeking a Senior Data Engineer to work remotely. In this role, you will design and develop data pipelines, ensuring data accuracy and reliability. Collaboration with cross-functional teams is essential. Ideal candidates will have strong experience with Python, SQL, and cloud platforms, along with a proactive mindset. The position offers excellent benefits including 30 paid vacation days and flexible working hours.

Leistungen

30 paid vacation days

Latest tech

Prepaid spending card

Qualifikationen

• Proven experience with large-scale distributed data workloads.
• Excellent communication skills and values teamwork.
• Proactive, autonomous mindset with strong ownership over projects.

Aufgaben

• Contribute to building and maintaining data pipelines.
• Manage data ingestion from various sources.
• Mentor and guide junior team members.

Kenntnisse

Large-scale distributed data workloads

Advanced SQL

Data governance

Data modelling

Docker

Kubernetes

Analytical Engineering

Tools

Python

AWS

dbt

Terraform

ClickHouse

Kafka

Jobbeschreibung

Overview

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 We are a leading Commerce Advertising platform that connects over 5,500 publishers, 55,000 advertisers, and 100 networks in 160+ countries. It combines the expertise of five market leaders: digidip, MaxBounty, shopping24, SourceKnowledge, and Yieldkit. Backed by Waterland private equity, the company 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 as we help our clients 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.
• 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 modelling
• 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
• Airbyte/Fivetran, Dagster and dbt for building pipelines
• Extensive experience with AWS is strongly preferred, but candidates with strong knowledge of other cloud platforms will be considered
• OLAP systems like ClickHouse, Snowflake, Redshift or Databricks
• Streaming technologies like Kafka, Kinesis
• IaC tools like Terraform

Nice to have

• Experience with other programming languages like Java or Scala
• Familiarity with Hadoop or Spark frameworks
• Container management tools like Kubernetes
• Experience with CI/CD tools like GitHub Actions and ArgoCD

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 cant 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, qualification, 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.