Data Engineer, Data Ops & Insights team

Working at Omnisend is... kind of boring. Not the soul-crushing kind of boring — more like the “no drama, no chaos, just smart people doing great work” kind. The kind that lets you focus on what matters, without pointless meetings, micromanagement, or bureaucracy. We’re data-driven. We test, we iterate, we improve. Gut feelings don’t drive decisions — insights do. We trust each other. We’re transparent, give real feedback, and actually listen. No egos, no hand-holding — just a team of experienced professionals moving fast, adapting easily, and delivering impact. Omnisend is customer-funded and customer-driven. Our work is rooted in solving real problems that help ecommerce brands grow. No empty promises — we bring in results. And yes, we have fun. But the grown-up kind — workations, team gatherings, the occasional party. No forced fun, no awkward icebreakers. Just genuine moments with a team that actually enjoys working together. We move fast. We are flexible and adaptable to an ever-changing business environment to deliver value to our customers. Running lots of experiments and validations helps us to deliver what truly matters. Data-driven nature enables us to measure real impact and adjust. Customer feedback and daily contact create opportunities to solve problems our customers really need to be solved. We are product engineers at heart. Cross-functional teams, led by engineering and product managers, and designers, deliver services capable of processing billions of records using event-based architecture in real time, sustaining millions of visits per day, and sending tens of billions of communications per year.  We are looking for a Data Engineer to join our Data Ops team and play an important role in enabling the organization to make data-driven decisions by creating and maintaining data pipelines for our BI platform. What you’ll do @Omnisend:

Build and maintain reliable data and ML pipelines for analytics and reporting;

Partner with analysts to deliver clean, well-modeled datasets and support their workflows;

Ensure data quality, accuracy, and availability across the BI platform;

Monitor, troubleshoot, and optimize data processes for performance and reliability;

Contribute to data warehouse development and ongoing maintenance;

Integrate Generative AI and LLM-based solutions into data pipelines and workflows.

We expect that you’ll bring:

2+ years of hands-on experience in data engineering or analytics;

Strong SQL skills with a solid understanding of data modeling, data quality, and warehouse principles;

Experience working with dbt or similar transformation frameworks;

Proficiency in Python; knowledge of Golang is a strong plus;

Experience with CI/CD tools such as GitHub Actions;

Exposure to workflow orchestration tools like Dagster, Airflow, or Prefect;

Experience with BI tools (e.g., Superset, Looker, or similar);

Understanding of software development best practices and version control;

Curiosity and ability to learn and apply emerging technologies, including Generative AI and LLMs.

What we offer in return:

Gross salary starting point from 4500 EUR/month based on experience;

An unlimited learning budget for self-improvement complying with the best interest of Omnisend;

Working methods and best practices inspired by the best tech companies in Silicon Valley;

Over 80% senior colleagues in Product - and over half company-wide - to accelerate your growth;

Flexible working hours and remote work possibilities;

Private health insurance;

Unlimited access to psychotherapy;

Workstation budget;

Personalized work anniversary gifts (house cleaning, spa treatments, international flights etc.);

Annual company trip abroad, company gatherings twice a year, team-led teambuildings;

Additional days off for KASP and Rifleman’s Union members;

Inclusive family-related time-off policy.