About the Role

We're looking for a hands-on Analytics Engineer to join our newly formed Platform Team. This is a builder role where you'll help design and implement data infrastructure from scratch while serving as a critical bridge between our technical platform and business stakeholders. You'll be instrumental in building and maintaining our data infrastructure as we migrate to MongoDB Atlas and modernize our entire data platform.

As part of the Platform Team, you'll work alongside senior DevOps engineers to create a unified, serverless platform that powers our operations. You'll contribute to the data layer while collaborating closely with the Chief Architect on the broader platform architecture. This is a unique opportunity to shape the data architecture at an early and exciting stage of our platform evolution.
We're building an entirely new system while migrating from legacy infrastructure, making this an exciting time to join and make a significant impact.

Key responsibilities

• Build and maintain production data pipelines and automated reporting systems using Python and AWS services
• Help teams design and implement NoSQL data models, including migration from SQL to NoSQL architectures for our MongoDB Atlas platform
• Design solutions for integrating third-party system data into the platform
• Partner with customer support, sales, operations, and C-suite to deliver actionable metrics and insights from operational data
• Ensure data security, compliance, and implement monitoring/observability solutions
• Provide statistical analysis to drive business decisions across the organization
• Architect scalable data solutions that support both real-time and batch processing needs
• Define data retention strategies and optimize storage/query performance
• Contribute to and influence telemetry and metrics collection across our platform
• Act as the data liaison between technical and non-technical teams

About you

You're a pragmatic engineer who thrives at the intersection of technology and business. You're the kind of person who doesn't wait for someone else to build the tools you need - you build them yourself. You enjoy creating robust data systems that real people can use, not just one-off analyses.

You're equally comfortable writing Python scripts as you are explaining data insights to a sales manager or C-suite executive. You take pride in creating scalable, reliable systems that make life easier for others, but you also understand that the best data infrastructure is worthless if stakeholders can't use it effectively. You see stakeholder communication not as a distraction from "real work" but as a core part of your role.
You thrive in a fast-paced environment where priorities can shift quickly, and you balance independence with a strong sense of ownership and teamwork.

We're looking for someone who has

• At least 5 years of experience in data/analytics/engineering roles
• Production Python experience (not just notebooks - actual data pipeline code)
• Strong SQL skills and understanding of NoSQL concepts
• At least 3 years hands-on experience with AWS services (Lambda, S3, Athena, or similar)
• Experience with Git and version control in a collaborative environment
• Proven track record of stakeholder collaboration - you've regularly worked with non-technical teams to gather requirements and deliver solutions
• Experience building production data pipelines and automated reporting systems
• Demonstrated ability to translate complex data into actionable insights for non-technical stakeholders
• Experience communicating metrics and statistics to diverse teams (sales, support, operations)
• Experience with monitoring and observability platforms (Datadog, Splunk, New Relic, or similar)
• Comfortable working with operational data

Highly value if you also have experience in

• MongoDB or similar NoSQL database experience
• MongoDB Atlas platform knowledge specifically
• Experience with SQL to NoSQL migrations
• TypeScript or Go programming languages
• Infrastructure as Code (Terraform, Pulumi - we use Pulumi)
• DevOps practices and tools
• Experience in serverless architectures
• Knowledge of event-driven data processing
• Logistics or supply chain industry experience
• Experience working in scale-up environments (50-200 person companies)

About Zendr

Zendr is a fast-growing SaaS company developing cloud-based solutions for B2B freight. We take pride in our innovative platform and the passionate team that contributes to our success every day. At Zendr, collaboration and well-being are key – we offer a workplace where you can truly make an impact. We're proud of what we do and of our commitment to making our customers' work easier. We believe it's important that you feel valued, engaged, and empowered to influence our journey. At Zendr, you can grow quickly – both professionally and personally – while being part of building something meaningful.

What we offer

• Be part of a small, high-impact Platform Team joining at an early and exciting stage
• A truly hybrid role where you'll impact both technical architecture and business strategy
• Work with modern technologies in a fully serverless environment
• Direct influence on architectural decisions and technology choices
• Collaborate closely with the Chief Architect and senior engineers
• Work closely with different department stakeholders including C-suite
• Shape the data strategy for a 60-person organization scaling steadily
• Solve complex data challenges in the logistics domain
• Competitive salary in the range of 45-65k SEK per month - we've kept a broad range to reflect that we value both strong generalists who can grow into our stack (45-55k) and specialists with direct experience in our tools (55-65k). Your specific offer will be based on your technical depth, relevant experience, and ability to contribute immediately to our platform transformation
• Locally adapted benefits package designed to support your well-being and growth

Our hiring process

We respect your time and aim to make the recruitment journey fast, transparent and enjoyable:

Application review – We'll review your application promptly and get back to you within a few days
First conversation – An informal video call to learn more about you and your previous experiences
Coding assignment - A practical task to understand your technical expertise and analytical skills
Technical interview – An meeting discussing the coding assignment to better understand your reasoning and decision making
Final meeting – Meet the broader team and ensure we're the right fit for each other

From first contact to final decision, you can expect clear communication, timely feedback, and respect for your time.

Addition information

We review applications on a rolling basis, which means the position may be filled before the closing date.
Start date: As soon as possible
Scope: Full-time, permanent position
Location: Jönköping or Stockholm, Solna