We’re a cutting-edge tech-enabled bank on a mission to revolutionize financing for small businesses across 7 markets in northern Europe. Our innovative solutions aim to simplify access to financing and enable growth for small businesses. As we scale, we are now looking for a Data Engineer to be part of our journey to transform the financial landscape for entrepreneurs.

About the role

This is a role where you will be playing a significant role in designing, implementing, iterating, and improving the data lake and data warehouse in our company. Your daily responsibilities will include building data pipelines and their subsequent models to serve various consumers, such as Data Scientists, Software Engineers, and Business & Data Analysts, and assisting them in accessing the data they need. Our technical stack consists of Python/Pyspark, SQL (AWS Redshift & Postgres), IaC (CDK & AWS CloudFormation), and overall AWS services (Batch, Glue, Lambda, etc).

Key Responsibilities

• Design and optimize efficient data pipelines for seamless integration and processing across diverse data sources

• Oversee and manage data warehouses and lakes to ensure reliable storage, processing, and accessibility

• Collaborate with stakeholders to transform business objectives into analytics-ready data models using tools like dbt

• Implement comprehensive testing frameworks, maintain high data quality standards, and ensure security-compliant metadata with clear data lineage and catalog systems for effective governance

• Strengthen infrastructure using IaC tools like CDK and CloudFormation

Requirements

• Experience with ETL processes, building and orchestrating data pipelines, preferably AWS Glue, AWS Lambda and AWS Step Functions

• Fluent in Python, SQL and/or other relevant languages

• Experience with relational database, schema design and dimensional data modeling

• Solid knowledge of cloud based platforms, preferably AWS

• Hands-on experience with modern data warehousing and analytics engineering technologies such as Redshift, Snowflake, BigQuery, dbt

• Understanding of data platform architecture and concepts, including data ingestion, data lakes, and data lakehouses

Experiences that make you stand out from the rest:

• Experience with event-driven architecture in the cloud

• Experience in working with git/version control and in a ci/cd environment

• Big plus if you have some experience with machine learning projects and building data science infrastructure

• Understanding of microservices and APIs

• Prior experience in the financial industry is an advantage

• Experience with tools for Data Governance, such as DataHub or OpenMetaData

Why join us?

This is a unique opportunity to join a growing fintech company that is redefining financial services for small businesses in Northern Europe. You’ll work with a passionate and innovative team, participating in creating an environment where employees thrive and contribute to a shared vision of success.

One last thing

This is a full-time, permanent position based in Stockholm. Don’t wait to send in your application, we are reviewing applications on a rolling basis. While the start date is flexible, the right candidate can join us immediately.

Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law.