Lead Data Platform Engineer

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PRODUCT DEVELOPMENT | HELSINKI HQ

PRODUCT DEVELOPMENT | HELSINKI HQ

Apply for this role

We are looking for a Lead Data Platform Engineer to join our Data Platform team within the Platform Engineering Group. 

You will be instrumental in developing our data infrastructure by directing the technical efforts, and overseeing the creation and upkeep of our advanced, internal data platform. This platform is crucial for providing tooling and infrastructure for data ingestion, transformation, visualization, and enabling data-driven decisions across the company.

As a lead engineer, you will be a senior technical voice on the team, guiding technical decisions and mentoring another senior engineer.

You will primarily focus on developing, maintaining, and enhancing the capabilities of our platform while ensuring it remains scalable, reliable, and efficient for users. You'll work with Public Cloud providers, Kubernetes, and various data processing and orchestration tools. You will also collaborate closely with the Head of Data to ensure the platform effectively meets the company's analytical and operational data needs.

What You'll Do:

  • Be responsible for the technical design, development, and maintenance of core data platform components and services.
  • Execute technical decision-making for the evolution of the data platform architecture and technology stack.
  • Engage in hands-on development using Python, Kubernetes, and other relevant technologies to build and improve platform functionalities.
  • Maintain and enhance our event tracking infrastructure based on Snowplow/OpenSnowcat, custom data loaders, and associated tooling.
  • Manage and operate data integration pipelines and tools like Cloud Data Fusion and Cloud Composer (Airflow).
  • Implement and manage deployment strategies using Kubernetes, ArgoCD, and GitOps principles.
  • Maintain and improve data platform tooling, including dbt, Looker technical setup, and custom internal tools.
  • Act as a senior technical mentor to another experienced engineer on the team.
  • Collaborate with development teams in a consultative role regarding data collection and integration best practices.
  • Ensure the reliability, scalability, observability and usability of the data platform.

What We're Looking For:

  • Extensive experience in platform engineering, data engineering, or software engineering with a focus on data infrastructure.
  • Extensive hands-on experience with Cloud Platforms.
  • Proficiency in Python programming.
  • Solid experience developing, deploying and managing data platforms, applications and big data pipelines on Kubernetes
  • Experience with workflow orchestration tools, specifically Airflow (Cloud Composer).
  • Experience with CI/CD principles and tools, particularly ArgoCD.
  • Experience in domains such as event tracking, data integration, and building/maintaining data platforms.
  • Ability to work independently, take ownership of technical areas, and move projects to completion.
  • Advanced problem-solving and technical leadership skills.
  • Effective communication skills and ability to mentor other engineers.

Nice-to-Haves:

  • Experience designing or working with event-driven architectures.
  • Familiarity with the concept and application of data contracts.
  • Experience with Snowplow or similar event-tracking technologies.
  • Experience with Infrastructure as Code tools like Terraform.
  • Familiarity with dbt or Looker.
  • Experience developing services or applications in Go or Rust.

Team Structure:

  • You will be supported by the Senior Engineering Director responsible for the Platform Engineering Group.
  • You will work alongside and mentor one other Senior Data Engineer on the team

Benefits we offer:

  • Competitive compensation package, including equity  and bonus
  • Excellent work equipment and home office allowance for those working in our fully remote locations
  • Health care benefits and leisure time insurance
  • Personal learning budget
  • Sports and wellbeing allowance

The interview process:

  • Interview with the Recruiter (30 mins)
  • Interview with Hiring Manager (30 mins)
  • Home Assignment
  • Technical Interview + Team interview (90 mins)
  • Possible Final Interview

Does this sound like your next adventure? Apply now! We'll fill the role as soon as we find the right person.

Hear why our team likes it here at supermetrics.com/careers/life-at-supermetrics
Get to know our Engineering team at supermetrics.com/careers/engineering.

#LI-Hybrid  #LI-FullTime #LI-MiddleToSeniorLevel

 

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