Data Engineer

Merapar; Veldhoven; Presencial; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Modern data platforms

Direct influence on projects

Learning and growth

Collaborative team of data pros

Descripción de la vacante

Merapar is seeking a Data Engineer to design, build and maintain data lakehouse platforms. You will work closely with clients and our engineering teams to deliver secure, compliant data solutions, while communicating complex topics to non-technical stakeholders.

Responsibilities include governance, data residency, and pipelines with strong focus on data quality and privacy. Fluent English and Dutch, plus right to work in the Netherlands, are required.

Formación

• Experience designing and building data lakehouse architectures.
• Hands-on AWS experience (S3, Glue, Lake Formation, Athena, Redshift).
• Experience handling PII data with encryption/masking and access control.
• Experience building ML feature stores or ML pipelines in production.
• Some knowledge deploying AI or ML models on AWS.
• Knowledge of data residency rules and GDPR compliance.
• Strong communication skills to explain technical topics to non-technical audiences.
• Experience consulting with clients or internal stakeholders.
• Proficiency in Python, SQL and Scala for data engineering.
• Solid understanding of data security and privacy rules.

Responsabilidades

• Design and implement data lakehouse solutions leveraging AWS services.
• Collaborate with clients and engineering teams to build secure, compliant data platforms.
• Explain architecture decisions and timelines in plain language to clients.
• Manage client relationships and keep projects on track.
• Build and maintain data pipelines with a focus on quality, security, and compliance.
• Work with analysts, security, and legal to ensure aligned outcomes.

Conocimientos

Data engineering

Client communication

Python

SQL

Scala

Data security & privacy

English & Dutch

Herramientas

AWS

Databricks

Delta Lake

Apache Flink

ML feature stores

Descripción del empleo

About the role

We are looking for Data Engineers who are strong on the technical side and also comfortable talking directly with clients. You will design, build and maintain data lakehouses, and explain your choices in a way that clients without a technical background can understand.

As a Data Engineer you

work closely with clients and our engineering teams to build data platforms that are secure, compliant, and easy to trust. You combine strong technical skills with the people skills to explain your work clearly, even to clients who are not technical.

You

• Design and build data lakehouse solutions using AWS services such as S3, Glue, Athena, Redshift and Lake Formation
• Set up data governance, with special attention to protecting personal data (PII) and meeting legal requirements
• Manage data residency, so data stays in the right region and follows local rules such as GDPR
• Act as a technical advisor for clients: you explain architecture choices, security measures and timelines in plain language
• Manage relationships with client stakeholders, from executives to technical teams, while keeping projects on track
• Build and maintain data pipelines with a strong focus on data quality, security and compliance
• Work with data analysts, security officers and legal advisors to build solutions that work for everyone involved

You have

• Experience designing and building data lakehouse architectures (for example Databricks, Delta Lake, Apache Flink or similar tools)
• Hands‑on AWS experience, including S3, Glue, Lake Formation, Athena and Redshift
• Experience handling PII data, including encryption, masking and access control
• Experience building or maintaining ML feature stores or ML pipelines in production
• Some knowledge of deploying AI or ML models on AWS
• Knowledge of data residency rules and compliance frameworks such as GDPR
• Strong communication skills: you can explain technical topics to people without a technical background
• Experience working directly with clients or internal stakeholders in a consulting role
• Good skills in Python, SQL, Scala or similar languages for data engineering
• A solid understanding of data security and privacy rules, and how to apply them in practice
• An open mind and curiosity about new technologies
• Excellent English ánd Dutch, spoken and written
• The right to work in the Netherlands

Nice to have

• AWS certifications (Solutions Architect Associate or Professional, Data Analytics Specialty, AI or similar)
• Experience with data governance tools or metadata management platforms
• Experience delivering data solutions to enterprise clients
• Experience in the Telco or Media industry
• Experience with generative AI tools or LLM applications in data projects
• Understanding of responsible and ethical AI principles

What we offer

• A competitive salary based on experience and location
• The chance to work on modern data platforms and architectures
• Direct influence on projects that really matter
• Room to keep learning and growing in cloud technology
• A collaborative team of experienced data professionals

Inclusive employer

We are an inclusive employer and keep working to increase diversity. We encourage applications from under‑represented groups, including women and ethnic minorities, and we are happy to make accommodations for disability or neurodiversity during the interview process.