About the role

We are looking for people to join our core Data & AI team in the Technology Development department. The team builds and runs ABGSCs data and analytics platform across the full lifecycle --- from ingestion and pipeline development to transformation, modelling, infrastructure, delivery, and AI-enabled tooling. Everyone on the team works across the stack and shares ownership of what we build.

While the role involves a lot of engineering, coding, and development, understanding and caring about the data itself is the core. Every pipeline, model, and delivery layer is shaped by the data it serves, so a strong foundation in data thinking is just as important as technical skill.

We work code-first and aim to use AI in practical, grounded ways across engineering workflows --- from development and debugging to automation, documentation, and internal tooling. We are looking for people who are comfortable working in that kind of environment and who are curious about how AI can improve the way data platforms are built and operated.

This is an early-stage team, and the role will evolve over time. Responsibilities and ways of working will be shaped together as the platform and team grow

Task

Build and maintain data pipelines that ingest data from source systems into Snowflake
Model and transform data end-to-end following strict data modelling techniques
Manage data warehouse environments, CI/CD workflows, and developer tooling
Implement tests, monitor freshness, and ensure reliability across pipelines and data products
Deliver data to end-users through BI tools, semantic layers, or direct access
Contribute to Python CLI tooling, pipeline frameworks, and configuration-driven architecture
Use AI-enabled tooling and automation to improve development workflows, platform operations, and team effectiveness

Desired qualifications

We value breadth, curiosity, and learning ability over deep specialization in a single tool. You should be comfortable picking up new technologies, working across different parts of the stack, and understanding data quality, structure, and meaning.

You do not need to meet every requirement listed, but we expect you to be familiar with most of them and/or motivated to learn quickly where you have less experience.

What we are looking for

Python and SQL --- our pipelines, tooling, and transformations are primarily built with Python, SQL, and Jinja
Data modelling --- understanding of modelling approaches such as Data Vault, dimensional modelling, or similar methodologies
Cloud data platforms --- experience with, or exposure to, tools such as Snowflake and dbt
Engineering practices --- familiarity with Git, testing, CI/CD, and working with production data workflows
AI-enabled ways of working --- interest in using AI tools to support coding, debugging, documentation, analysis, and delivery

Nice to have

Experience with BI tools, dashboards, or data applications
Exposure to cloud infrastructure and platform services
Familiarity with container-based development environments
Experience with code-first ingestion tools or local data processing tools
Interest in financial services or capital markets

Who you are

Relevant master’s degree in a technical or quantitative field
1--5 years of relevant experience
You take ownership of your work, can drive things forward independently, and collaborate well in a team
You are comfortable speaking with stakeholders and translating between business needs and technical solutions
You thrive in a high-paced environment with quick turnarounds, and can refocus and reprioritize when things change
You communicate clearly and directly --- in code, in writing, and in conversation
You are comfortable in a small team where everyone does a bit of everything
You are genuinely interested in data --- not just moving it, but understanding what it represents and how it can be used

Rapporter annonse