Data Engineer

Leadinfo Leadinfo; Capelle aan den IJssel; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

OpenUp mental health support

€50 monthly budget for activities and[

Job summary

Leadinfo is seeking a Data Engineer to own data infrastructure, ensure reliable ETL pipelines, and enable data-driven decisions across the organization. You will work on large datasets from diverse sources, ensuring quality and performance of ETL processes.

The role involves dashboarding, collaboration with data scientists, and building scalable data architectures on cloud platforms. Hybrid work model with a Rotterdam office supports professional growth and data-driven impact.

Qualifications

• Bachelor's degree in data or computer science or equivalent.
• Experience building and maintaining ETL pipelines.
• Proven cloud platform experience (AWS, Azure, or GCP).
• Strong data quality monitoring experience.
• Experience with dashboarding tools such as Tableau or Power BI.

Responsibilities

• Maintain, monitor, and optimize ETL pipelines.
• Design and maintain data architectures on cloud platforms.
• Develop dashboards to provide actionable insights.
• Collaborate with data scientists and product teams.

Skills

Cloud platforms

ETL pipelines

Data quality monitoring

Dashboarding tools

Python

SQL

Problem solving

Education

Bachelor's degree in data or computer science

Tools

Tableau

Power BI

Job description

About Leadinfo

Leadinfo is a fast-growing scale-up and a leader in the B2B SaaS market. We empower businesses by delivering actionable insights through our innovative tools and technologies. As we continue to scale, we’re seeking a talented Data Engineer to join our team and play a crucial role in our data-driven journey.

What You’ll Do

As a Data Engineer at Leadinfo, you will be at the heart of our data infrastructure. You’ll ensure that our data pipelines are reliable, scalable, and efficient. Your role will involve maintaining the quality and performance of our ETL processes, enabling data-driven decision-making across the organization. We extract large data sets from many sources that require reliable processes, this will be your responsibility.

Key Responsibilities

• Manage and Scale Data Pipelines:Maintain, monitor, and optimize ETL pipelines to ensure seamless data flow and processing. Identify opportunities to improve pipeline performance and scalability.

• Cloud Infrastructure Expertise:Leverage cloud platforms like AWS, Azure, or GCP to design and maintain robust data architectures.

• Data Quality Assurance:Implement monitoring solutions to ensure data integrity and quality. Proactively identify and resolve data discrepancies or pipeline issues.

• Dashboarding and Visualization:Create and maintain dashboards that provide meaningful insights from our data.

• Collaboration:Work closely with data scientists, engineers, and product teams to align data solutions with business needs.

What We’re Looking For

• Proven experience with cloud platforms (AWS, Azure, or GCP) for managing data workflows.
• Hands‑on expertise in building and maintaining ETL pipelines for data ingestion, transformation, and storage.
• Strong understanding of data quality monitoring and experience with tools or techniques for ensuring pipeline reliability.
• Experience with dashboarding tools (e.g., Tableau, Power BI, or similar) to create clear and actionable visualizations.
• Solid programming skills in Python, SQL, or similar languages commonly used in data operations.
• A problem‑solver with an eye for detail and a passion for continuous improvement.
• At least a bachelor degree with a specialization in data or computer science.

What We Offer

• A dynamic and collaborative work environment within a fast-growing scale-up.
• Opportunities for professional growth and skill development.
• Access to the OpenUp platform, giving you and your loved ones easy access to professional mental health support whenever it’s needed.
• A €50 monthly budget to spend on things like sports, hotel stays, meal kits, and more.
• Competitive salary and benefits package.
• Hybrid working model with a modern office in Rotterdam.
• The chance to make a significant impact on the data foundation of our company.