Arbetsbeskrivning

TL;DR

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.

Why Alva?

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.

What we’re looking for

• Strong technical background in data architecture, ETL processes, and data modeling
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• Proficiency in SQL and experience with Python
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• Experience in implementing data governance practices and monitor data quality
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• Strong problem-solving skills
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• Collaborative — you enjoy working across functions with product, design, engineers, and researchers.
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• The following qualifications are considered a plus:
• A track record of successfully leading data-driven projects and initiatives
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• 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.

What you’ll do

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.
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• Ensure data quality through testing, governance, and documentation.
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• Collaborate closely with engineers, analysts, and business stakeholders.
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• Continuously improve tools and processes for a scalability, performance and reliability

Our tech stack

• Data Pipelines & Models: BigQuery, dbt, synq, dlt
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• Dashboards & Visualization: Metabase, Lightdash
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• Data Platform: Google Cloud Platform, Cloud run, Docker, terraform

How we hire

• Fill out a short application.
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• Objective screening with Alva’s own tests (your first interaction with the product we're building!).
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• Quick intro call with our Talent team.
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• Technical Interview with additional logic assessment and case.
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• Final Loop: Culture: You'll have a close-out chat to discuss Alva’s vision and culture.
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• Background & ID check.

About your application

• Please apply in English — it’s our company language.
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• If you need adjustments at any stage of the process, let us know — we aim to make our hiring accessible and fair.