We’re looking for a Senior Analytics Engineer with strong SQL skills and experience in building data pipelines and models for analytics. You’ll design data models, build ELT pipelines in BigQuery, ensure data quality, to drive product and business decisions.
At Alva Labs, we’re redefining how companies hire — replacing gut feeling with science. We’re building an AI-first Hiring System — the only platform companies need to define roles, assess candidates, make confident decisions, and continuously improve their hiring. It replaces fragmented tools with one cohesive system designed to make hiring accurate, fair, and scalable. Leading companies across Europe trust us to make hiring more accurate, inclusive, and scalable.
We’re a small, ambitious team building from Stockholm, Sweden We value ownership, velocity, and low-ego collaboration We care deeply about our craft and each other — and we’re driven to build something that lasts.
Joining now means being part of the growth journey as we scale our product, explore new AI-powered capabilities, and bring fair hiring to millions more people.
Strong technical background in data architecture, ETL processes, and data modeling
Proficiency in SQL and experience with Python
Experience in implementing data governance practices and monitor data quality
Strong problem-solving skills
Collaborative — you enjoy working across functions with product, design, engineers, and researchers.
The following qualifications are considered a plus:
A track record of successfully leading data-driven projects and initiatives
Experience in developing and executing data strategies aligned with business objectives
Most importantly, we're looking for someone who is passionate about driving data-driven decision making and continuously improving our data infrastructure and processes.
In one sentence: Build data pipelines to power high-quality analytics
Build scalable data models and optimize ELT pipelines to power dashboards and self-serve analytics.
Ensure data quality through testing, governance, and documentation.
Collaborate closely with engineers, analysts, and business stakeholders.
Continuously improve tools and processes for a scalability, performance and reliability
Data Pipelines & Models: BigQuery, dbt, synq, dlt
Dashboards & Visualization: Metabase, Lightdash
Data Platform: Google Cloud Platform, Cloud run, Docker, terraform
Fill out a short application.
Objective screening with Alva’s own tests (your first interaction with the product we're building!).
Quick intro call with our Talent team.
Technical Interview with additional logic assessment and case.
Final Loop: Culture: You'll have a close-out chat to discuss Alva’s vision and culture.
Background & ID check.
Please apply in English — it’s our company language.
If you need adjustments at any stage of the process, let us know — we aim to make our hiring accessible and fair.
Evaluating a candidate in a recruitment process is difficult. Even more so, when you have 200 candidates for one position.
At Alva, we are committed to making candidate assessment better for everyone. By combining AI and machine learning with established science and research, we have created a platform for psychometric testing that all recruiters can use.
Save time in the screening process, while also ensuring all candidates get a fair chance. Remove bias, open up for diversity and most importantly - base your hiring decisions on objective data that actually predict success on the job.
