Data Engineer

Cairo

Actively hiring, first seen by us 6 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients.

Build ingestion pipelines from marketing and ad data sources into cloud warehouses
Design dbt or Dataform data models for reporting and measurement
Write performant SQL to transform and serve large datasets
Automate ETL/ELT processes and API authentication for data integration
Deploy and orchestrate pipelines with Cloud Workflows or dbt Cloud

From the employer’s posting

As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. You will collaborate closely with senior engineers, data scientists, and strategists to deliver scalable data solutions on public cloud platforms such as GCP, AWS, or Azure.

You should have a strong foundation in data engineering fundamentals, SQL, cloud data warehousing, and pipeline development with the ability to translate client requirements into robust technical solutions. Ideally, you have some experience working with marketing or product data, coupled with a solid grounding in modern data stack tools (dbt, BigQuery, orchestration frameworks) and cloud technologies. While the role focuses on data engineering, it also offers opportunities to contribute to data science and GenAI-powered projects.

Support the development of ingestion pipelines from marketing and advertising data sources (e.g. CM360, GA4, Meta, TikTok, CRM systems) into cloud data warehouses.

Contribute to the design and implementation of data models using dbt or Dataform, turning raw data into analytics-ready datasets that power reporting, measurement, and ML use cases.

Write performant SQL to transform and serve large datasets in BigQuery, Snowflake, Redshift, or Databricks.

Support API authentication and automation of ETL/ELT processes for data integration across cloud environments.

Contribute to the deployment and orchestration of pipelines using tools such as Cloud Workflows or dbt Cloud.

What you’ll bring

All qualifications

Core experience

Bachelor's or Master's in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field.
1+ years of working experience in data engineering, analytics engineering, or a related field.
Familiarity with designing and deploying cloud solutions on platforms such as GCP or AWS.
Strong proficiency in SQL and Python.
Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g.
Good understanding of APIs, including authentication methods (e.g.

Preferred experience

Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.

Qualification wording

Bachelor's or Master's in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field.

1+ years of working experience in data engineering, analytics engineering, or a related field.

Familiarity with designing and deploying cloud solutions on platforms such as GCP or AWS.

Strong proficiency in SQL and Python.

Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g. dbt, BigQuery, Snowflake).

Good understanding of APIs, including authentication methods (e.g. API keys, OAuth), with a curiosity to explore and troubleshoot.

Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.

Education & alternatives

The essentials: - Bachelor's or Master's in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field. - 1+ years of working experience in data engineering, analytics engineering, or a related field.

Not a must, but a plus: - Bachelor's or Master's Degree in Computer Science, Software Engineering, or Data Engineering. - Previous agency or consultancy experience is a plus.

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another.

In the employer’s words · Read in context

Apply at Monks

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 29, 20266 days ago
Recorded sightings: 7
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 6

Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Monks is hiring

22 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
BigQuery
Databricks
dbt
GCP
Looker
Power BI
Redshift
S3
Snowflake

Where the posting names them

- Associate Cloud Certification such as GCP Associate Cloud Engineer, GCP Professional Data Engineer, AWS Solutions Architect Associate, or equivalent. - Strong proficiency in SQL and Python. - Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g. dbt, BigQuery, Snowflake).

As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. You will collaborate closely with senior engineers, data scientists, and strategists to deliver scalable data solutions on public cloud platforms such as GCP, AWS, or Azure. You should have a strong foundation in data engineering fundamentals, SQL, cloud data warehousing, and pipeline development with the ability to translate client requirements into robust technical solutions. Ideally, you have some experience working with marketing or product data, coupled with a solid grounding in modern data stack tools (dbt, BigQuery, orchestration frameworks) and cloud technologies. While the role focuses on data engineering, it also offers opportunities to contribute to data science and GenAI-powered projects. This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Data Science teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about building the data foundations that power modern digital experiences, we encourage you to apply!

- Contribute to the design and implementation of data models using dbt or Dataform, turning raw data into analytics-ready datasets that power reporting, measurement, and ML use cases. - Write performant SQL to transform and serve large datasets in BigQuery, Snowflake, Redshift, or Databricks. - Support API authentication and automation of ETL/ELT processes for data integration across cloud environments.

About the Role As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. You will collaborate closely with senior engineers, data scientists, and strategists to deliver scalable data solutions on public cloud platforms such as GCP, AWS, or Azure. You should have a strong foundation in data engineering fundamentals, SQL, cloud data warehousing, and pipeline development with the ability to translate client requirements into robust technical solutions. Ideally, you have some experience working with marketing or product data, coupled with a solid grounding in modern data stack tools (dbt, BigQuery, orchestration frameworks) and cloud technologies. While the role focuses on data engineering, it also offers opportunities to contribute to data science and GenAI-powered projects.

Responsibilities: - Assist in designing, building, and deploying data pipelines and cloud-native data solutions on platforms such as GCP and AWS. - Support the development of ingestion pipelines from marketing and advertising data sources (e.g. CM360, GA4, Meta, TikTok, CRM systems) into cloud data warehouses.

- 1+ years of working experience in data engineering, analytics engineering, or a related field. - Familiarity with designing and deploying cloud solutions on platforms such as GCP or AWS. - Associate Cloud Certification such as GCP Associate Cloud Engineer, GCP Professional Data Engineer, AWS Solutions Architect Associate, or equivalent.

- Familiarity with designing and deploying cloud solutions on platforms such as GCP or AWS. - Associate Cloud Certification such as GCP Associate Cloud Engineer, GCP Professional Data Engineer, AWS Solutions Architect Associate, or equivalent. - Strong proficiency in SQL and Python.

- Good understanding of APIs, including authentication methods (e.g. API keys, OAuth), with a curiosity to explore and troubleshoot. - Familiarity with core cloud data services such as Cloud Functions, Cloud Run, Cloud Storage, Pub/Sub, or their AWS equivalents (Lambda, S3, SNS/SQS). - Awareness of GenAI tools and their applied use in engineering workflows (e.g. Claude Code, Cursor, Copilot).

- Previous agency or consultancy experience is a plus. - Professional Cloud Certification (e.g. GCP Professional Data Engineer, AWS Data Engineer Associate). - Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics, CM360, GA4).

- Strong proficiency in SQL and Python. - Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g. dbt, BigQuery, Snowflake). - Good understanding of APIs, including authentication methods (e.g. API keys, OAuth), with a curiosity to explore and troubleshoot.

- Support the development of ingestion pipelines from marketing and advertising data sources (e.g. CM360, GA4, Meta, TikTok, CRM systems) into cloud data warehouses. - Contribute to the design and implementation of data models using dbt or Dataform, turning raw data into analytics-ready datasets that power reporting, measurement, and ML use cases. - Write performant SQL to transform and serve large datasets in BigQuery, Snowflake, Redshift, or Databricks.

- Support API authentication and automation of ETL/ELT processes for data integration across cloud environments. - Contribute to the deployment and orchestration of pipelines using tools such as Cloud Workflows or dbt Cloud. - Help apply GenAI tools (e.g. Claude, ChatGPT, Gemini) to accelerate engineering workflows and, where relevant, to client-facing data solutions.

- Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus. - Experience with Looker Studio, Looker, Power BI, or any BI/visualisation tool. - Exposure to server-side tagging (e.g. GTM Server-Side) or Customer Data Platforms (CDPs).

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Has Monks posted this job before?

Yes. We’ve followed one other Data Engineer job there since April 2026. It is still up.

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Job description

View original posting ↗

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

About the Role

As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. You will collaborate closely with senior engineers, data scientists, and strategists to deliver scalable data solutions on public cloud platforms such as GCP, AWS, or Azure.

You should have a strong foundation in data engineering fundamentals, SQL, cloud data warehousing, and pipeline development with the ability to translate client requirements into robust technical solutions. Ideally, you have some experience working with marketing or product data, coupled with a solid grounding in modern data stack tools (dbt, BigQuery, orchestration frameworks) and cloud technologies. While the role focuses on data engineering, it also offers opportunities to contribute to data science and GenAI-powered projects.

This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Data Science teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about building the data foundations that power modern digital experiences, we encourage you to apply!

Responsibilities:

Assist in designing, building, and deploying data pipelines and cloud-native data solutions on platforms such as GCP and AWS.
Support the development of ingestion pipelines from marketing and advertising data sources (e.g. CM360, GA4, Meta, TikTok, CRM systems) into cloud data warehouses.
Contribute to the design and implementation of data models using dbt or Dataform, turning raw data into analytics-ready datasets that power reporting, measurement, and ML use cases.
Write performant SQL to transform and serve large datasets in BigQuery, Snowflake, Redshift, or Databricks.
Support API authentication and automation of ETL/ELT processes for data integration across cloud environments.
Contribute to the deployment and orchestration of pipelines using tools such as Cloud Workflows or dbt Cloud.
Help apply GenAI tools (e.g. Claude, ChatGPT, Gemini) to accelerate engineering workflows and, where relevant, to client-facing data solutions.
Learn to navigate the lifecycle of a data engineering project, understanding trade-offs between performance, cost, maintainability, and time-to-delivery.
Follow and contribute to documentation and best practices for pipeline development, data quality, and deployment to ensure consistency and scalability.
Communicate technical concepts and solutions to both technical and non-technical stakeholders, including clients.

About You

The essentials:

Bachelor's or Master's in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field.
1+ years of working experience in data engineering, analytics engineering, or a related field.
Familiarity with designing and deploying cloud solutions on platforms such as GCP or AWS.
Associate Cloud Certification such as GCP Associate Cloud Engineer, GCP Professional Data Engineer, AWS Solutions Architect Associate, or equivalent.
Strong proficiency in SQL and Python.
Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g. dbt, BigQuery, Snowflake).
Good understanding of APIs, including authentication methods (e.g. API keys, OAuth), with a curiosity to explore and troubleshoot.
Familiarity with core cloud data services such as Cloud Functions, Cloud Run, Cloud Storage, Pub/Sub, or their AWS equivalents (Lambda, S3, SNS/SQS).
Awareness of GenAI tools and their applied use in engineering workflows (e.g. Claude Code, Cursor, Copilot).
Fluent English communication and written skills.
Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

Not a must, but a plus:

Bachelor's or Master's Degree in Computer Science, Software Engineering, or Data Engineering.
Previous agency or consultancy experience is a plus.
Professional Cloud Certification (e.g. GCP Professional Data Engineer, AWS Data Engineer Associate).
Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics, CM360, GA4).
Awareness of DataOps, CI/CD (e.g. GitHub Actions, Cloud Build), and version control tools.
Familiarity with paid media and social data sources (e.g. Meta, TikTok, Google Ads).
Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
Experience with Looker Studio, Looker, Power BI, or any BI/visualisation tool.
Exposure to server-side tagging (e.g. GTM Server-Side) or Customer Data Platforms (CDPs).

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission.

#LI-RE1 #LI-Hybrid

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.

This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

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