Why This Job is Featured on The SaaS Jobs
Analytics engineering has become a cornerstone function in modern SaaS organisations, sitting between product analytics, data engineering, and decision-making. This role stands out because it is positioned as a central enablement layer: building shared data foundations that multiple product areas can rely on, rather than supporting a single domain in isolation. The listed stack (AWS, Redshift, dbt, Metabase, Python) reflects common patterns in cloud-native SaaS data platforms where reliability and self-serve access matter.
For a SaaS career, the work maps closely to how subscription products are managed and improved: consistent metrics, trustworthy models, and repeatable pipelines that reduce friction for analysts and stakeholders. The emphasis on testing, CI, documentation, and clean coding signals experience that transfers across data teams in SaaS—especially where analytics is treated as production software. Exposure to modelling for BI and troubleshooting transformation pipelines also builds a practical understanding of the full analytics lifecycle.
This position is best suited to professionals who enjoy translating messy operational data into stable, well-governed datasets and who prefer collaborative work with embedded analysts and business partners. It fits someone who values engineering discipline in analytics and wants to influence how teams consume data at scale.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the opportunity
As an Analytics Engineer you build the foundations for data-driven decision making at N26. You will closely collaborate with the rest of the data community and business stakeholders to ensure our data models are accurate, relevant and updated. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement.
You will work in a central analytics engineering team supporting product teams and their embedded analysts in one or more business areas. You’ll be using the following tech stack:
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Our cloud provider is AWS, and we use lots of different tools and services they provide.
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Redshift is our main Data Warehouse and the main tool you’ll be interacting with
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For our data transformations, we use DBT
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Our business intelligence tool for data visualizations and dashboarding is Metabase
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We use python as our go-to language for any automations and more complex pieces of software.
In this role, you will:
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Provide clean data models to users, modelling data so business stakeholders are enabled to answer their own questions.
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Transform, test and deploy data projects, applying software engineering best practices of version control, continuous integration, testing, documentation, and clean coding.
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Improve our analysts and business users workflow, optimising their time when working with data.
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Create tests for our datasets, to guarantee a good level of data quality.
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Troubleshoot eventual problems with our transformation pipeline, coming up with solutions to complex problems.
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Building and managing data models for BI tools.
What you need to be successful:
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2+ years of experience as a Data Analyst, Data Engineer, Software Engineers, Analytics Engineer or other quantitative discipline
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Strong experience querying data with SQL and experience with Python.
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Experience with ETL/ELT processes, data modelling and data warehousing architecture
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Good communication, organisation and collaboration skills.
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Familiarity with data visualisation tools, like Metabase, Tableau, Looker or similar
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Good business acumen, being able to connect the use of data to solutions for real world business problems.
What’s in it for you:
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Accelerate your career growth by joining one of Europe’s most talked about disruptors
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Employee benefits include discounts to fitness & wellness memberships, language courses, public transportation and more.
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Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.
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A Premium N26 bank account. As well as subscriptions for friends and family members.
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Varying vacation days depending on your location of work and duration of your internship.
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A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds.
Who we are
N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.
We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.
Sounds good? Apply now for this position.
Equal Opportunities:
We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.
We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.
Visit our website to learn more about Diversity, Equity, & Inclusion at N26.
