Data Engineer

About the Role

We are at a pivotal scaling point where our data ambitions have outpaced our current setup, and we need a Data Engineer to architect the professional-grade foundations of our platform. This role exists to bridge the gap between "getting data" and "engineering data," moving us from manual syncs to a fully automated ecosystem. By building custom pipelines and implementing a robust orchestration layer, you will directly enable our Operations teams and leadership to transition from basic reporting to sophisticated, AI-ready data products. Your primary focus will be on Infrastructure-as-Code, orchestration, and building a resilient "plumbing" system that serves as the backbone for our entire Product and GTM strategy.

Your 12-Month Journey

• During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt) and understand the current pain points in our data flow. You will identify and execute "low-hanging fruit" improvements to our product usage analytics, providing immediate value to the Product and GTM teams. You’ll begin designing the blueprint for our custom data pipelines and the migration strategy for moving our infrastructure into Terraform.

• Within 6 months: You will have deployed our new orchestration layer (e.g., Airflow or Dagster) and successfully transitioned our first set of custom pipelines to production. Collaborating with the Analytics Engineer, you will enable a unified view of our customer journey by successfully merging product usage data with CRM and billing data. At this point, a significant portion of our data infrastructure will be defined as code, reducing manual overhead and increasing deployment reliability.

• After 1 year: you will take full strategic ownership of the data platform and its long-term architecture. You will act as the go-to technical expert for the leadership team, advising on the scalability of new data-driven features. You will lay the groundwork for AI and Machine Learning initiatives by ensuring our data warehouse has the right quality controls, governance, and low-latency access patterns in place.

What You’ll Be Doing

• Architect Scalable Infrastructure-as-Code: Take our existing foundations to the next level by migrating all GCP and BigQuery resources into Terraform. You will establish automated CI/CD patterns to ensure our entire data environment is reproducible, version-controlled, and enterprise-ready.

• Deploy State-of-the-Art Pipelines: Design, deploy, and operate high-quality production ELT pipelines. You will implement a modern orchestration layer (e.g., Airflow or Dagster) to build custom Python-based integrations while maintaining and optimizing our existing syncs.

• Champion Data Quality & Performance: Act as the guardian of our data platform. You will implement rigorous testing and monitoring protocols to ensure data is accurate and timely. You will proactively identify BigQuery bottlenecks, optimizing query performance and resource utilization.

• Technical Roadmap & Ownership: scope and architect end-to-end data flows from production source to warehouse. Manage your own technical backlog, prioritizing infrastructure stability over technical debt. You will ensure platform security and SOC2 compliance through PII masking, data contracts, and robust access controls.

• Collaboration: You will work in a tight loop with the Analytics Engineer to turn raw data into actionable products. You will partner daily with DataOps and RevOps to understand business requirements, with occasional strategic syncs with DevOps and R&D to align on production schema changes and global infrastructure standards.

What You Bring

• Solid experience in Data Engineering, with a track record of building and evolving data ingestion infrastructure in cloud environments.

• The Modern Data Stack: Familiarity with dbt and Airbyte/Fivetran. You understand how these tools fit into a broader ecosystem.

• Expertise in BigQuery (partitioning, clustering, IAM) and the broader GCP ecosystem; Infrastructure-as-Code (Terraform).

• Hands-on experience with Airflow, Dagster, or similar orchestration tools. You know how to design DAGs that are resilient and easy to debug.

• DevOps practices in the data context: familiarity with CI/CD best practices as they apply to data (data testing, automated deployments).

• Programming: Expert-level Python and advanced SQL. You are comfortable writing clean, testable, and modular code.

• Comfortable in a fast-paced environment

• Project management skills: capable of managing stakeholders, explaining complicated technical trade-offs to non-technical users, and taking care of own project scoping and backlog management.

• Fluency in English, both written and spoken, at a minimum C1 level

What We Offer

• Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam

• A chance to be part of and shape one of the most ambitious scale-ups in Europe

• Work in a diverse and multicultural team

• €1,500 annual training budget plus internal training

• Pension plan, travel reimbursement, and wellness perks

• 28 paid holiday days + 2 additional days to relax in 2026

• Work from anywhere for 4 weeks/year

• An inclusive and international work environment with a whole lot of fun thrown in!

• Apple MacBook and tools

• €200 Home Office budget

About Tellent

Tellent is a leading Talent Management Suite designed to empower HR & People teams across the entire employee journey. Our all-in-one platform combines an Applicant Tracking System (Tellent Recruitee), an intuitive HRIS (Tellent HR), and powerful Performance Management software (Tellent Grow).

With 250+ team members globally, 7,000+ customers in 100+ countries, and a growing ecosystem of 500+ partners, we help organizations attract, grow, and retain top talent — and we’re just getting started.