Senior Data Engineer at Zartis - Remote Europe — Columbus
Traveler-Friendly Insight
Remote-First Role with Strong Nomad Compatibility
This position is 100% remote, making it a solid fit for digital nomads. Zartis operates across EMEA and LATAM time zones, so the most comfortable base would be Europe, Africa, or Latin America — expect an informal expectation to overlap with Central European Time (CET/CEST) for client and team collaboration, likely 9am–6pm CET windows.
Timezone Flexibility: The role sits on a small 2-person team working with a client in industrial engineering services. Client meetings and synchronous collaboration are likely daily, meaning pure async work is limited. A base within UTC-3 to UTC+3 is ideal; Southeast Asia (UTC+7 to UTC+9) would create significant overlap challenges.
Nomad-Friendly Perks:
- Monthly WFH/remote allowance — can offset coworking space costs in destinations like Lisbon or Medellín.
- No hardware perks explicitly mentioned, but training budget and Pluralsight access are location-independent.
Cost of Living Snapshot (no salary disclosed, but senior data engineer roles in this stack typically earn €55k–€85k EUR equivalent annually):
- Lisbon, Portugal: ~€2,000–2,500/mo comfortable living — strong value, within CET+1.
- Medellín, Colombia: ~€1,000–1,400/mo — excellent value, but UTC-5 creates overlap strain.
- Tbilisi, Georgia: ~€900–1,200/mo — UTC+4, manageable overlap, growing nomad hub with digital nomad visa options.
European digital nomad visas (Portugal D8, Spain, Greece) are well-suited if you want legal residency while working remotely for a non-local employer.
Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting-edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.
Our teams bring deep expertise in AI-driven platforms, secure API architectures, and cloud-native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies — from strategy and discovery through to full product delivery — helping turn complex challenges into measurable outcomes.
With engineering hubs across EMEA and LATAM, and long-term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology — you will drive business impact and grow your career alongside industry leaders.
We are looking for a Senior Data Engineer to work on a project in the industrial engineering services industry.
The Project
You will join the client's small data team, working alongside one existing Power Platform/data engineer as a peer. The role combines Power Platform development (Power Apps, Power Automate, Power BI) with hands-on data engineering using Python, SQL, Azure Data Factory, and Microsoft Fabric.
The immediate priority is data ingestion: helping migrate and ingest data from a variety of sources into a Fabric medallion architecture (Bronze/Silver/Gold). Once this priority workload is established, focus will shift to broader work including CI/CD pipeline hardening, development standards, and best practices across the team's Power Platform and Fabric estate. This is a hands-on technical role where you'll work day-to-day alongside the existing engineer, sharing knowledge and contributing equally to delivery.
What You Will Do
- Design, build, and maintain pipelines to ingest and migrate data from a variety of sources (on-prem databases, APIs, flat files, line-of-business systems) into Microsoft Fabric.
- Implement and maintain Fabric medallion architecture (Bronze/Silver/Gold layers), structuring transformation logic for data quality and consistency.
- Write Python (e.g. PySpark, notebooks) and SQL for data transformation, cleansing, and modelling within Fabric Lakehouses and Warehouses.
- Build and orchestrate pipelines using Azure Data Factory and/or Fabric Data Factory.
- Develop and maintain Power Apps (canvas and model-driven) for operational engineering use cases.
- Build Power Automate flows that integrate with Azure services and Fabric data.
- Develop Power BI reports and dashboards consuming curated Fabric (Gold layer) data.
- Maintain and extend Dataverse tables, relationships, and security models.
- Contribute to hardening CI/CD pipelines for both Power Platform solutions and Fabric/data engineering code, using Azure DevOps.
- Help establish and document development standards, naming conventions, and code review practices.
- Support governance activities including environment strategy, DLP policies, and Fabric workspace/capacity management.
- Liaise with engineering stakeholders to understand requirements for data, automation, and reporting needs.
- Provide ongoing support and troubleshooting for existing pipelines, flows, and apps.
What You Will Bring
- Hands-on development experience across Power Apps, Power Automate, and Power BI.
- Strong working proficiency in Python and SQL for data transformation and pipeline development.
- Practical experience with Microsoft Fabric, including medallion architecture (Bronze/Silver/Gold), Lakehouses, and Dataflows Gen2.
- Experience with Azure Data Factory (or Fabric Data Factory) for orchestrating data ingestion and transformation pipelines.
- Experience migrating or ingesting data from diverse sources (databases, APIs, files, legacy systems) into a modern data platform.
- Solid understanding of Dataverse, including table design, security roles, and relationships.
- Experience working in an engineering, manufacturing, or industrial sector.
- Comfortable working collaboratively as part of a small team, sharing knowledge and reviewing peers' work.
- Familiarity with Azure DevOps for source control and release management.
Nice to Have
- Microsoft certifications (e.g. PL-400, PL-300, DP-600, or DP-700).
- Experience with PySpark notebooks in Microsoft Fabric.
- Knowledge of CI/CD pipelines for Power Platform and data engineering solutions.
- Exposure to Copilot Studio or AI Builder.
- Experience working with engineering, manufacturing, or industrial data.
- Understanding of IoT or sensor data integration.
What We Offer
- 100% Remote Work
- WFH Allowance: Monthly payment as financial support for remote working.
- Career Growth: An established career development program accessible to all employees, with 360° feedback to guide your career progression.
- Training: Dedicated time during the week for tech training, with access to online courses (Pluralsight, Educative.io), English classes, books, conferences, and events.
- Mentoring Program: Become a mentor, receive mentorship, or both.
- Zartis Wellbeing Hub (Kara Connect): A platform providing sessions with mental health professionals, nutritionists, physiotherapists, fitness coaches, and professional webinars.
- Multicultural Working Environment: Tech events, webinars, parties, and online team-building games and contests.
Frequently Asked Questions
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