Senior Data Engineer at Advertising Platform

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 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. Youll 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 5500 publishers 55000 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 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.
• 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

Nice to have

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

Your Opportunity:

• Take an active role in shaping an innovative growth-orientated 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.