Data Platform Engineer
Amsterdam, Netherlands · Amsterdam, Netherlands, Netherlands
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Technology — team source
Department: Technology
From the employer’s posting
What you’ll work on
Full postingDesign and optimize data infrastructure so teams can run their own pipelines
Build and optimize data pipelines that ingest, process and deliver reliable data
Implement monitoring, governance and best practices for accuracy and compliance
Deliver structured datasets to analysts, ML scientists and engineers
Evaluate and test new data tools, adopting those that add clear value
From the employer’s posting
Design, develop, and optimize data infrastructure that empower teams to build and run their own pipelines and data products.
Design, develop, and optimize data pipelines that ingest, process, and deliver reliable data across the company.
Implement monitoring, governance, and best practices to keep our systems accurate, performant, and compliant.
Partner with Analysts, ML Scientists, and Engineers to deliver structured datasets to unlock new insights.
explore emerging data tools and technologies, experimenting with new approaches that could strengthen our platform
What you’ll bring
All qualificationsCore experience
- Proven experience in data engineering with a platform and infrastructure focus
- Strong SQL for large-scale querying and optimization
- Experience designing and building ETL/ELT pipelines
- Proficiency in Python for data processing
- Hands-on experience with cloud and data infrastructure such as AWS, Snowflake or Redis
Qualification wording
Proven experience in Data Engineering, with a strong focus on platform and infrastructure.
Strong SQL expertise for large-scale querying and optimization
experience designing and building ETL/ELT pipelines
Proficiency in Python for data processing.
Hands-on experience with cloud and data infrastructure (e.g., AWS, Snowflake, Redis).
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Docker
- Kubernetes
- Prefect
- Redis
- Snowflake
- Dagster
Source — Tool mentions in context
- Strong SQL expertise for large-scale querying and optimization, plus experience designing and building ETL/ELT pipelines. - Proficiency in Python for data processing. - Solid understanding of data modeling and data warehouse architectures, with the ability to design evolving data systems.
- Familiarity with modern data tools such as dbt, Dagster, Prefect, along with data observability and cataloguing platforms (e.g., Monte Carlo, Great Expectations, DataHub, or similar). - Strong SQL expertise for large-scale querying and optimization, plus experience designing and building ETL/ELT pipelines. - Proficiency in Python for data processing.
- Proven experience in Data Engineering, with a strong focus on platform and infrastructure. - Hands-on experience with cloud and data infrastructure (e.g., AWS, Snowflake, Redis). - Ability to translate business needs into scalable solutions and communicate effectively with both technical and non-technical stakeholders.
- You actively follow new developments in the data ecosystem (e.g., cataloguing, observability, orchestration, cloud services) and aren’t afraid to test new tools, adopting them when they provide clear value. - Familiarity with modern data tools such as dbt, Dagster, Prefect, along with data observability and cataloguing platforms (e.g., Monte Carlo, Great Expectations, DataHub, or similar). - Strong SQL expertise for large-scale querying and optimization, plus experience designing and building ETL/ELT pipelines.
- Solid understanding of data modeling and data warehouse architectures, with the ability to design evolving data systems. - Experience implementing DevOps practices (e.g., Git, CI/CD, containerization with Docker/Kubernetes). WHAT WE OFFER 🤗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 6, 2026 · 53 days ago
- Recorded sightings
- 197
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Aug 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
WHO WE ARE 🌍
Creating content that resonates is great — turning that attention into growth is even better. That's what Manychat does.
Our AI-powered automations help creators and brands engage with audiences across Instagram, Messenger, WhatsApp, and TikTok — at the right moment, with the right message, minus the manual work.
We're 400+ people across three continents behind the leading platform for conversational growth, with AI skills shaping how we build, how we work, and how we grow.
WHO WE'RE LOOKING FOR 🌟
We’re looking for a motivated and impact-driven Data Engineer to join our Data team. This role is primarily focused on strengthening our data platform by designing and maintaining infrastructure and tooling to deliver greater autonomy for teams creating their own pipelines, while also contributing to implementing reliable and actionable datasets for the business. You’ll be responsible for choosing and introducing new technologies where they add real value while ensuring stability in areas that already work.
If you’re passionate about data, enjoy balancing pragmatism with innovation, and want to shape a platform that powers analytics and AI at global scale, this role is for you.
WHAT YOU'LL DO 🚀
Build and Evolve the Platform: Design, develop, and optimize data infrastructure that empower teams to build and run their own pipelines and data products.
Stay Ahead of the Curve: explore emerging data tools and technologies, experimenting with new approaches that could strengthen our platform, while pragmatically balancing innovation with what already works.
Build Scalable Pipelines: Design, develop, and optimize data pipelines that ingest, process, and deliver reliable data across the company.
Ensure Data Quality & Security: Implement monitoring, governance, and best practices to keep our systems accurate, performant, and compliant.
Collaborate & Enable: Partner with Analysts, ML Scientists, and Engineers to deliver structured datasets to unlock new insights.
Innovate: Experiment with advanced data modelling and analytical techniques to improve system capabilities and create new opportunities.
WHAT YOU’LL BRING 💥
Proven experience in Data Engineering, with a strong focus on platform and infrastructure.
Hands-on experience with cloud and data infrastructure (e.g., AWS, Snowflake, Redis).
Ability to translate business needs into scalable solutions and communicate effectively with both technical and non-technical stakeholders.
You actively follow new developments in the data ecosystem (e.g., cataloguing, observability, orchestration, cloud services) and aren’t afraid to test new tools, adopting them when they provide clear value.
Familiarity with modern data tools such as dbt, Dagster, Prefect, along with data observability and cataloguing platforms (e.g., Monte Carlo, Great Expectations, DataHub, or similar).
Strong SQL expertise for large-scale querying and optimization, plus experience designing and building ETL/ELT pipelines.
Proficiency in Python for data processing.
Solid understanding of data modeling and data warehouse architectures, with the ability to design evolving data systems.
Experience implementing DevOps practices (e.g., Git, CI/CD, containerization with Docker/Kubernetes).
WHAT WE OFFER 🤗
We care deeply about your growth, well-being, and comfort:
🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
💙 Comprehensive health insurance for both you and your family.
📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
🫶 Flexible benefits package to tailor perks that matters most for you.
🪴 Hybrid work and generous leave options to prioritize your work-life balance.
🍽️ In-office perks, including free meals and snacks.
🤝 Company-funded sport activities, annual offsites and team-building events.
Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Amsterdam, Netherlands, Netherlands
We care deeply about your growth, well-being, and comfort: - 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family. - 💙 Comprehensive health insurance for both you and your family.
More source context
- 🫶 Flexible benefits package to tailor perks that matters most for you. - 🪴 Hybrid work and generous leave options to prioritize your work-life balance. - 🍽️ In-office perks, including free meals and snacks.
- Work authorization
- 🤝 Company-funded sport activities, annual offsites and team-building events. Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.
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