Data Engineer, Recruitee
€70-90k
Recruitment management platform
Be an early applicant
Recruitment management platform
1-20 employees
Be an early applicant
€70-90k
1-20 employees
Company mission
To empower teams with the best tech tools to hire better together.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
On a mission to make hiring easy, fun, and accessible, Recruitee, now part of Tellent, offers a cloud-based recruitment management system to assist internal HR teams of all sizes. The hiring tool centralises four products onto one platform: employer branding, job promoting, talent sourcing, and applicant tracking.
Recruitee recently combined with Sympa, which offers customisable core HR solutions in the Nordics, hoping that, together, they can provide their individual customers with premium digital HR solution offerings. Through constant evolution, Recruitee’s founders are working towards a goal to create a business valued at over €1 billion in the coming years to achieve Unicorn status.
The tech startup has cut its ties with venture capitalists and is instead self-funded, which it deems to offer more space to focus on product, building a sustainable team, and enabling the agency to make decisions about the company’s direction, paving a unique path for itself.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Sep 2015
$0.2m
SEED
Total funding: $0.2m
Company benefits
- Hybrid work: You decide if and when you want to come to one of our offices.
- Flexible hours: Our employees can choose which working hours are the best for them
- Training budget: Up to €1500 per year for your personal development. You will keep your skills sharp
- Well-being support: Direct, free, and easy access to professional mental health support (provided by OpenUp)
- Equipment: We offer everyone a MacBook, a screen and Apple accessories
- Fitness subscription: We offer everyone a sports card that is acceptable in many fitness facilities.
- Work from anywhere: Take your laptop and work from anywhere (for up to 4 weeks/year)
Company HQ
Negen Straatjes, Amsterdam, Netherlands
Leadership
Perry Oostdam
(Co-Founder)Previously co-founded GeoRun and Quality Technology.
Salary benchmarks
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