Full-Stack Data Engineer

Details

Be at the forefront of building scalable data pipelines to enable accurate financial reporting, timely insights from self-service analytics, and efficient data-driven steering of business.

Coordinate closely with security & compliance to implement appropriate controls that fulfill regulatory requirements.

Work in a collaborative cross-functional team that values innovation and adaptability.

Responsibilities

As a Full Stack Data Engineer, you lead the development and optimization of efficient end-to-end data pipelines and infrastructure, driving efficiency and innovation to meet complex business needs and analytics objectives. You collaborate in a cross-functional team environment, adapting to different challenges as needed.

You will be responsible for:

• Delivering highly scalable and efficient data pipelines and architectures that align with business goals.
• Producing well-documented, maintainable solutions that enhance team productivity and system reliability.
• Establishing and maintaining data infrastructure that supports advanced analytics and operational scalability.
• Leading the design, implementation, and optimization of scalable ETL pipelines and data workflows.
• Developing and implementing advanced data models to support analytics and machine learning.
• Collaborating with stakeholders in a cross-functional team to translate business requirements into robust data solutions.
• Implementing best practices and driving improvements in data quality, governance, and security practices.
• Contributing to data architecture discussions, introducing innovative solutions and frameworks.
• Implementing and advocating for best practices in cloud platforms and distributed computing frameworks.
• Setting up monitoring and alerting for data quality in data pipelines and handling investigation, remediation, and reporting of data quality issues.

Requirements

You independently manage and complete complex data engineering initiatives with a strategic focus. You address and resolve technical challenges in scalable pipeline design and infrastructure optimization.

You are able to influence data architecture decisions and align with organizational priorities and best practices. During your work, you collaborate in a cross-functional setting, ensuring alignment of technical solutions with business needs while fostering adaptability across disciplines.

You bring:

• Bachelor’s or university degree, conceptual/strategic thinking level.
• Expertise in languages such as Python and SQL, with a focus on modern data tools such as dbt.
• Experience with cloud-based data warehouses such as Snowflake.
• Extensive knowledge of cloud platforms and experience designing cloud-native solutions.
• Strong proficiency in batch data processing frameworks and pipeline orchestration tools.
• Demonstrated ability to lead technical discussions and mentor less experienced engineers.
• Analytical mindset with the ability to balance technical depth and strategic priorities.

Benefits

• Gross annual salary between €80.000 and €110.000 (including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing).
• FlexBudget (can be paid out, used to buy extra holiday days or saved).
• Personal and professional growth support.
• Hybrid working: you work 40% at the office and 40% at home; the remaining day you decide what works best for you.

Additional information

Eneco emphasizes a strong commitment to climate neutrality by 2035 and offers a collaborative environment where you can contribute to sustainability-focused products and services. The role is based in Rotterdam and is part of the Digital & Tech domain.