Who We Are
At Eneida.io we are developing and selling eneida DeepGrid, the world's most advanced platform for monitoring, optimizing and controlling one of the society's most precious assets: the Neighborhood Grid (Low Voltage Electric Grid). Our mission is to give each neighborhood grid the intelligence it needs, so we have Zero Emission Neighborhoods (ZEN), for everyone, now.
Eneida DeepGrid is a rich vertical platform, from sensors to software, made by a great multidisciplinary team of Software Engineers, Data Scientists and Embedded Systems Engineers, passionate about creating smarter, more sustainable cities.
At Eneida, you will be challenged daily. You'll work in a supportive, high-tech environment with very demanding customers, developing some of the most critical infrastructure (the electric grid), all as part of a great and meaningful endeavor: creating a Zero Emissions Neighborhood. This will help you grow both professionally and personally.
About the Challenge
Eneida is seeking a Senior Data Engineer to define data pipelines and lead data strategies. This role requires knowledge of best practices and proficiency with frameworks to enhance Eneida's data handling capabilities. In this role you will work with data scientists, analysts, business stakeholders, and data governance teams to ensure compliance with best practices.
What you'll do:
- Collaborate with cross-functional teams to understand data needs
- Translate business requirements into scalable and reliable data solutions
- Design, build, and maintain data pipelines
- Ensure scalability, performance, and reliability of data workflows
- Apply best practices in CI/CD, version control, and data quality monitoring
- Integrate AI/ML tools for anomaly detection and predictive checks
- Ensure observability using platforms like Grafana or similar tools
- Mentor team members and support their technical development
- Promote clean architecture, proper documentation, and the use of AI-assisted development tools such as GitHub Copilot
What we're Looking for:
- Degree in Software Engineering, Computer Science, or a related field.
- At least 7 years of experience in Data Engineering, Architecture, or similar roles.
- Extensive engineering skills, including machine learning engineering.
- Proficiency in multiple programming languages (Python, Java, Scala, C/C#) and SQL/NoSQL database management systems (MySQL, Oracle, MongoDB).
- Hands-on experience in ETL/ELT development and tools.
- Experience with machine learning libraries and frameworks (Tensorflow, Spark) and big data technologies (Hadoop, Kafka).
- Knowledge of time series databases (TimescaleDB, InfluxDB).
- Strong communication and problem-solving skills.
- High level of autonomy and proactivity.
- Experience in leading and mentoring teams.
- Ability to learn, adapt to, and apply new technologies and innovations.
- Fluent in English, written and spoken.
Nice to Have:
- Experience with Docker.
- Experience with public cloud providers (AWS, Azure).
- Microservices architecture knowledge (API Gateways, API composition).
- Hot/cold storage management.
- Good understanding of the industry standards and best practices.
- Experience with Cloud and self-hosted solutions.
Perks & Benefits
- Flexible working hours and the possibility to work remotely.
- Get a share of the company's stock options. The company will be yours as well
- Health insurance (including family coverage).
- Extra vacation days (including your birthday, bridging holidays and December 24th & 31st).
- Be part of a company that strives to adopt state-of-the-art standards and methodologies. This is an opportunity for you to grow professionally.
- A friendly, multidisciplinary team that values both hard work and fun.
Application Process:
1. First interview with our People Manager
2. Technical Interview
3. Final on-site interview
4. Offer & Welcome to the team
Eneida.io is committed to fostering a culture of diversity, equity, and inclusion (DEI) that values and respects all individuals. We also believe that embracing diverse perspectives leads to innovation, collaboration, and long-term success. For more information, please refer to our DEI policy on our website.