Data Engineer

Our mission is to help people integrate technology into everyday life and to enable innovation through technology.

We offer software development and infrastructure solutions, with advanced competences in Blockchain, Artificial Intelligence and Machine Learning. All our offices (in Western Europe or nearshore, in CEE) are located within the boundaries of the European Union. We believe working in close cooperation with our clients and employees is the key to success; this means we offer people the best working environment in order to achieve the best results.

We love entrepreneurial spirits and encourage people around us to be proactive and make the best decisions not only for business, but for their own personal development. Our nearshore Romanian offices are in Bucharest (Victoriei Square) and Iasi (Palace) and, with over 9000 team members at group level, we make sure we are always close to our customers. What you will be working on:

You will be working on the development and evolution of a modern data platform within a fast-paced digital product environment. The role focuses on building scalable data pipelines, integrating multiple data sources, and enabling business teams to make data-driven decisions through reliable analytics solutions.

You will collaborate closely with business stakeholders and engineering teams to translate operational and analytical needs into robust data solutions built on Google Cloud Platform. What you will do:

Act as the bridge between business stakeholders and technical teams for data and reporting needs

Gather and document business requirements related to analytics, reporting and automation

Design and implement scalable data pipelines on Google Cloud Platform

Integrate data from multiple sources including mobile applications, web platforms and SaaS solutions

Design and maintain data models supporting BI and analytics use cases

Ensure data quality through monitoring, validation and governance practices

Support the definition of data architecture and data platform evolution

Create technical documentation, data dictionaries and specifications

Collaborate with engineering teams on CI/CD and data orchestration practices

Contribute to improving the organization's data maturity and data-driven decision processes Requirements:

3+ years experience in Data Engineering, Analytics Engineering or similar roles

Hands-on experience with Google Cloud Platform services (BigQuery, Dataflow, Cloud Storage or similar)

Strong SQL and Python skills for data processing and pipeline development

Experience with data integration from APIs, SaaS platforms or event-driven systems

Understanding of data warehousing and data modeling concepts

Experience with orchestration tools such as Airflow, dbt or similar

Familiarity with Git and CI/CD practices

Experience gathering business requirements and translating them into technical solutions

Strong communication skills and ability to interact with both technical and non-technical stakeholders

Experience in e-commerce, retail or digital product environments Nice to have:

Experience working with mobile analytics data

Knowledge of event-driven architectures

Experience with BI tools

Exposure to data governance practices

Experience working in Agile environments

Experience working in product-driven organizations Once on board we offer various programs and benefits:

22 working days as Annual Vacation plus 3 additional days off.

Floating days

Medical Insurance at Signal Iduna.

Benefit Online platform access, with a 690 RON monthly allowance from which you can choose to invest in different wellbeing, financial or retail packages.

Company performance-based annual bonus prorated according to the number of worked months in a year

Financial support for the birth of your child or unhappy events.

Learning and development opportunities - allocated budget for certifications and/or trainings.