Analytics Engineer
N26 · Berlin
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
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.
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Active in whiteboard sessions, contributing to the process of ideating new services and 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
- Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
- Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
- As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
- Additional day of annual leave for each year of service.
- A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds.
- A relocation package with visa support for those who need it.
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.
Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!
Equal opportunities for all
At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.
We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!
Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Where data engineers move nextevery measured route out
- Data Architect → Data Engineer51% readiness
- Data Analyst → Data Engineer32% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 14 open data architect roles86% readiness from data engineer
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