Analytics Engineer

Copenhagen

Finance & Services – Data & AI

Full-time

On-site

Are you a proactive and curious individual looking to join a dynamic, international company looking to change the world of finance?

Are you a problem solver with strong analytical capabilities?

Then you’re in the right place!

Inpay is recruiting for an Analytics Engineer to join our Data & AI team. We are looking for a data-driven profile who can take our data modelling and documentation to the next level.

The job is based in Copenhagen.

Your primary tasks will be:

• Support teams in the organization to help them navigate their data and extract the insights they want.
• Design, build, and maintain data pipelines using modern tools like DBT to ensure data is structured, accurate, reliable, and accessible for analysis.
• Collaborate with data analysts and other teams to understand data needs.
• Design high-quality, reusable data models.
• Ensure data quality through automated testing, validation, and monitoring of data pipelines.
• Help manage and document the data architecture, including data models, dependencies, and lineage.
• Actively participate in code reviews, version control (Git), and deploy best practices for analytics engineering.
• Contribute to the continuous improvement of our data infrastructure and work closely with team members to optimize our data models.
• Help other teams better understand their data, actively promote better data-literacy in the organization.

Skills & qualifications:

• Experience in a data engineering or analytics engineering role, with strong SQL skills.
• Hands-on experience with data transformation tools and languages like dbt (or similar), SQL, and Python.
• Familiarity with data warehouses such as Snowflake, (or similar like: Redshift, or BigQuery).
• Experience maintaining scalable data pipelines.
• Knowledge of data modelling best practices (e.g., star schema, snowflake schema).
• Familiarity with version control systems (e.g., Git) and collaborative workflows.
• Strong problem-solving skills and ability to work with cross-functional teams to solve data challenges.
• Excellent communication skills and ability to translate technical concepts to non-technical stakeholders.

Software, tools, languages:

• SQL (advanced)
• DBT (or other data orchestration tool)
• Python and/or R
• Snowflake (or other data warehouse systems)
• Fivetran (optional)
• Git
• PowerBI (optional)
• Azure (or other cloud platforms such as AWS, GCP)

What we look for in you:

• You are highly proactive and curious.
• You excel in problem solving and critical thinking.
• You display a unique attention to detail.
• You are able to learn in large quantities and transfer that knowledge.
• You are great at communicating with both a technical and business audience.
• You understand, challenge, triage, and incorporate requirements from stakeholders.
• You have a preference working in office rather than remotely.

We offer:
From flexible working hours to social events, professional development and health insurance, we strive to offer one of the best working environments around.

Ready to join?
Inpay is a cross-border payments company, connecting businesses and communities to a global banking network that helps them thrive. Since 2008, we've helped financial institutions, iGaming operators, corporates, NGOs and others move money to the right places quickly, easily and securely.

Our smart technology, innovative products, robust compliance and in-house experts from 45+ countries solve complex payment challenges with an industry-leading 99% transaction success rate. Regulated by the Danish Financial Supervisory Authority, we’ve been recognised as Denmark’s fastest-growing company, and Europe’s fastest-growing fintech.

Our headquarters are in the royal quarter of central Copenhagen, with further offices in London. You can see a snapshot of what working life looks like here.

Find out more about Inpay here.