Senior Data Engineer - HR Insights & Data Platforms
Gazelle Global
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Job summary
Gazelle Global is seeking a Senior Data Engineer for HR Insights and Data Platforms in Utrecht. You will design and maintain scalable data pipelines, integrate HR data sources, and build enterprise data products on a cloud-based platform using Snowflake and Azure technologies.
Dutch language proficiency is mandatory for collaboration with Dutch-speaking stakeholders. The role combines hands-on engineering with data architecture, analytics support and mentoring within an Agile environment.
Qualifications
- Completed Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering or a related discipline.
- Minimum 5-7 years of professional Data Engineering experience in enterprise ETL/BI/Data Warehouse environments.
- Expert SQL skills with complex queries and performance optimization.
- Strong Snowflake experience including cloud data warehousing and pipeline development.
- Strong Azure experience, particularly Azure Data Factory.
- Experience with Git and CI/CD methodologies.
- Experience in Agile/Scrum environments.
- Fluent Dutch speaking, reading and writing mandatory.
Responsibilities
- Design, develop and maintain scalable ETL/ELT pipelines for enterprise HR data.
- Integrate new HR data sources into a centralised cloud-based data platform.
- Build and optimise data pipelines using Snowflake, Azure Data Factory and related Azure technologies.
- Develop data ingestion, transformation and integration processes.
- Ensure pipelines are scalable, secure, reliable and maintainable.
- Implement data quality checks, monitoring and automated validation.
- Mentor junior engineers and participate in technical reviews.
- Collaborate with HR stakeholders to deliver actionable data products.
Skills
Education
Tools
Job description
Location: Utrecht, Netherlands Contract Duration: Until 19 April 2027 (extension possible) Start Date: ASAP / 16 November 2026 Hours: 36 hours per week Employment Type: Payroll / Employment Contract Only - No Freelancers (ZZP) Language Requirement: Fluent Dutch Speaking - Mandatory
Senior Data Engineer - HR Insights & Data Platforms
Location: Utrecht, Netherlands Contract Duration: Until 19 April 2027 (extension possible) Start Date: ASAP / 16 November 2026 Hours: 36 hours per week Employment Type: Payroll / Employment Contract Only - No Freelancers (ZZP) Language Requirement: Fluent Dutch Speaking - Mandatory
We are seeking an experienced Senior Data Engineer to join a leading enterprise organisation's Data & Analytics division, supporting the development, integration and optimisation of business-critical HR data solutions.
The successful candidate will play a central role in designing, developing and maintaining scalable data pipelines, data models and enterprise data products within a modern cloud-based data platform.
Working with Snowflake, Microsoft Azure, SQL and modern ETL/ELT technologies, you will be responsible for ensuring HR data is accessible, secure, reliable and optimised for reporting, analytics and operational decision‑making.
This is a hands‑on senior engineering position that combines technical delivery, data architecture, stakeholder engagement and mentoring responsibilities.
Important: Candidates must be fluent Dutch speakers. Professional Dutch communication skills are essential for this position, as the role involves regular collaboration with Dutch‑speaking stakeholders and technical teams.
- Design, develop and maintain scalable ETL/ELT pipelines for enterprise HR data.
- Integrate new HR data sources into a centralised cloud-based data platform.
- Build and optimise data pipelines using Snowflake, Azure Data Factory and related Azure technologies.
- Develop robust data ingestion, transformation and integration processes.
- Ensure data pipelines are scalable, secure, reliable and maintainable.
- Implement data quality checks, monitoring and automated validation processes.
- Improve the performance, stability and efficiency of existing data solutions.
- Maintain reliable data products for enterprise reporting and analytics.
- Design and implement structured data models supporting enterprise reporting and analytics.
- Apply dimensional modelling and/or Data Vault 2.0 methodologies.
- Translate complex business requirements into effective technical data solutions.
- Support data architecture decisions and establish reusable engineering patterns.
- Maintain consistent data standards, documentation and engineering best practices.
- Contribute to technical decisions that improve platform scalability and long‑term reliability.
- Develop reproducible, scalable solutions to complex business data challenges.
- Develop data solutions supporting workforce planning, employee absence, contract management, qualifications and training.
- Create reliable and reusable datasets for dashboards, reporting and business intelligence.
- Enable secure data integrations with other enterprise applications and internal data teams.
- Work closely with HR business stakeholders to understand reporting requirements and deliver actionable data products.
- Ensure HR data is accurately structured and accessible for operational and strategic decision‑making.
- Translate workforce‑related business challenges into scalable data engineering solutions.
- Support the development of data products used across multiple departments and business functions.
- Implement and maintain Git‑based version control processes.
- Support automated deployments through CI/CD pipelines.
- Apply modern data engineering, testing and documentation standards.
- Identify opportunities to improve existing tooling and engineering processes.
- Contribute to platform monitoring, troubleshooting and continuous improvement.
- Maintain engineering best practices to ensure consistent code quality and reliability.
- Support the implementation of technical improvements across the wider data platform.
- Act as a senior technical contributor within a multidisciplinary Agile/Scrum team.
- Mentor and coach junior and mid‑level Data Engineers.
- Conduct technical reviews and promote high coding standards.
- Collaborate with Data Architects, Business Analysts, Engineers and business stakeholders.
- Support cross‑team technical decisions and coordinate implementation activities.
- Provide technical guidance on data modelling, integration strategies and platform improvements.
- Help establish long‑term engineering standards and improve knowledge sharing across teams.
- Take ownership of technical decisions that influence the stability, scalability and performance of data solutions.
- Communicate effectively with Dutch‑speaking business stakeholders and colleagues.
- Completed Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering or a related discipline.
- Minimum 5-7 years of recent professional Data Engineering experience, preferably within complex enterprise ETL, BI or Data Warehouse environments.
- Expert‑level SQL skills, including complex queries, transformations and performance optimisation.
- Strong hands‑on Snowflake experience, including cloud data warehousing, data processing and pipeline development.
- Strong Microsoft Azure experience, particularly Azure Data Factory or comparable Azure data integration technologies.
- Proven experience designing, building and maintaining complex ETL/ELT pipelines.
- Demonstrable experience with data modelling, preferably dimensional modelling and/or Data Vault 2.0.
- Experience using Git for version control and working with CI/CD methodologies.
- Strong understanding of data quality, pipeline monitoring, documentation and platform reliability.
- Proven ability to translate business requirements into scalable technical solutions.
- Experience supporting technical decisions and coordinating solutions across multiple teams.
- Experience working in Agile/Scrum environments.
- Strong analytical, troubleshooting and problem‑solving abilities.
- Excellent communication and stakeholder management skills.
- Ability to coach colleagues and share technical knowledge.
- Fluent Dutch speaking, reading and writing skills are mandatory. Candidates must be comfortable communicating professionally in Dutch.
- Previous experience developing HR data platforms or HR analytics solutions.
- Experience with workforce analytics, absence reporting, employee contract data or personnel planning.
- Familiarity with enterprise data governance, privacy and sensitive data handling.
- Experience optimising Snowflake workloads and cloud data processing.
- Knowledge of enterprise BI reporting and dashboard integration.
- Previous experience mentoring engineers or contributing to technical architecture decisions.
- Experience collaborating with cross‑functional data teams and business stakeholders.
You will join a collaborative, multidisciplinary Data & Analytics department responsible for delivering reliable enterprise data solutions.
The team operates within an Agile/Scrum environment and works closely with business users to create scalable, high‑quality data products.
The environment encourages technical ownership, innovation, knowledge sharing and continuous improvement.
As a Senior Data Engineer, you will have the opportunity to influence technical decisions, improve engineering practices and contribute to data products that support critical organisational operations.
Dutch is the primary language requirement for this assignment, and candidates must be able to participate confidently in technical discussions, stakeholder meetings and day‑to‑day collaboration in Dutch.
This assignment is exclusively available to professionals employed through a recognised payroll employment arrangement, with applicable wage taxes and employee insurance contributions paid.
Self‑employed contractors (ZZP), independent consultants operating through intermediary arrangements, and company directors who are not covered by employee insurance schemes are not eligible.
Applicants must be able to work under a compliant employment arrangement for the duration of the assignment.
- Fluent Dutch speaker.
- 5-7+ years of Data Engineering experience.
- Expert SQL knowledge.
- Strong Snowflake experience.
- Microsoft Azure / Azure Data Factory experience.
- ETL/ELT pipeline development.
- Data modelling experience.
- Git and CI/CD experience.
- Agile/Scrum experience.
- Payroll employment only - no ZZP.
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