About Glia

Our award-winning technology powers conversations with customers for some of the world's largest enterprises. We believe that combining the human touch with technology is the best way to create amazing customer experiences. When human abilities such as problem-solving, creative thinking and relationship building are enhanced with technology... magical moments happen.

The work

At Glia, the data team (named Cerebro) is at the heart of all things data. You will be working with the team on establishing data contracts, designing ingestion pipelines- and optimal warehousing solutions
Leading an established team of engineers, partnering with the PM and other product teams, analysts and stakeholders to bring business-critical data solutions to life
Owning Glia's data architecture built on Snowflake, Redshift, Druid, S3 and dbt
Leading strategic long-term initiatives and owning architectural roadmaps
Actively supporting the growth of your team members
Participating in hands-on (systems design, PR reviews, smaller implementations) work within the team
Leading operational readiness improvements (observability, incident playbooks, tooling) within the team

The team's setup

Team Cerebro is a dynamic cross-functional team that brings together skilled Engineers and product Managers and collaborates closely with Data Analysts to drive innovation and deliver high-impact solutions.

We have members in Tallinn and Tartu, Estonia, Poland, and Portugal, so our processes are optimized for remote collaboration.

We work in the Eastern European time zone (EET/EEST).

Our current tech stack

Coding languages: Elixir, Ruby, SQL, Python
Current Persistence Solutions: Amazon RDS for PostgreSQL, Apache Druid, Snowflake, S3
Monitoring: DataDog
CI/CD: Jenkins
Infrastructure as Code: Terraform, Ansible
Other: AWS services, Kafka, DBT, Amazon Quicksight, GitHub

Note: We are constantly evolving our tech stack to ensure the usage of the right tools for specific needs, and you will be part of the process of choosing new technologies.

Candidate requirements

Experienced Software or Data Engineer at the senior level
Proven track record of leading implementations of data warehousing, ingestion, or transformation solutions
Experience in Engineering Management or Technical Lead roles
Proactive, collaborative, open-minded and solution-oriented
Production-first mentality
Ability to inspire and influence
Proficiency in either Redshift, Snowflake, dbt, Druid, Kafka or equivalent big data tech. (It's way more about the concepts you're confident in than the specific tech stack experience you have)
Programming languages - we are a Ruby & Elixir shop to a large degree, but we welcome engineers with all backgrounds

Benefits

Competitive salary
Professional development support (trainings, courses, conferences, books, etc)
Access to all the latest tools and equipment you'll need
Sports compensation, reimbursement for insurance and etc.
Team events: annual employee awards, internal hackathons, and a dozen cool events from cooking to the Glia olympic games :)
Diversity: 25 countries represented
Glia is an equal-opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

The Glia Talent Acquisition team is using only glia.com mailboxes for coordinating interviews, providing updates and sending documents. Our hiring process involves an introduction, and practical and team interviews, followed by a decision and offer. For more information, visit our Recruitment Privacy Notice page or contact our talent team via talent@glia.com

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