Platform Data Engineer

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PVcase

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚡ Energy

☁️ SaaS

🏢 Enterprise

Energy • SaaS • Enterprise

PVcase is a company that specializes in software solutions for the solar energy industry. They offer a range of tools and services aimed at streamlining the design, planning, and optimization of solar photovoltaic (PV) systems for both utility-scale and commercial applications. PVcase provides products that enable solar engineers and developers to efficiently carry out tasks such as site selection, energy modeling, and designing rooftop solar systems. Their software, which integrates with platforms like AutoCAD, helps in reducing the time required for solar project development while ensuring precision and efficiency. PVcase is trusted by industry leaders for its innovative approaches to solar project design.

📋 Description

• Architect, optimize, and maintain scalable ETL/ELT pipelines, data lakes, and cloud data warehouses to support both internal analytics and external, client-facing data products. • Write clean transformation logic using tools like dbt and manage robust workflow orchestration (e.g., Airflow), taking ownership of system monitoring, performance tuning, and incident resolution. • Maintain and evolve AWS-based messaging infrastructure (queues, schemas, event streams) to ensure reliable, high-throughput, and low-latency data ingestion across systems. • Design secure, performant, and well-documented data entry/consumption points (such as S3 interfaces) that empower product teams to build data-as-a-product features. • Support scalable deployment using Terraform (Infrastructure-as-Code) while maintaining least-privilege AWS IAM access, data lineage, data contracts, and cataloging. • Collaborate cross-functionally with engineers, product managers, and analysts to turn complex business needs into reusable, self-serve platform solutions. • Participate in code reviews, document data architectures and workflows, and help elevate engineering best practices across the team.

🎯 Requirements

• Proficiency in SQL and Python. • Proven experience as a data or platform engineer, or in a comparable role. • Hands-on experience with AWS (S3, IAM, and related services). • Strong problem-solving skills and attention to detail. • Experience with cloud-based data warehousing. • Familiarity with transformation tooling such as dbt. • Experience with workflow orchestration tools (e.g. Airflow or equivalent). • Familiarity with infrastructure-as-code (e.g. Terraform). • Understanding of data modelling and ETL/ELT patterns. • Familiarity with messaging systems and event-driven architectures (e.g. cloud-native queues). • Able to collaborate effectively within a small team and with cross-functional stakeholders. • Comfortable working with some autonomy while escalating decisions where appropriate.

🏖️ Benefits

• Flex benefit package, customizing perks to match your unique style. • Enjoy unlimited remote work or join the vibrant offices in Vilnius, Kaunas, or Barcelona. • Flexible working hours, harmonizing your personal and professional life. • Half-day Summer Fridays. • Full training and onboarding program for a seamless start. • Considerable & steadily increasing salary, recognizing and rewarding your dedication. • Frequent in-office and after-hours activities with team members. • Participation in international training programs. • Internal transparency with company results and salary system, promoting a culture of trust and collaboration. • Additional paid vacation days, including birthdays, volunteering, and other occasions.