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Senior Data Engineer - Freelance
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign dimensional data models (star schemas) for scalable self-serve reporting
Model data across BigQuery, Snowflake, Databricks or Redshift for clients
Build BI dashboards in Looker Studio, Power BI or Tableau
Lead requirements discovery and turn business questions into data solutions
Set up data quality, monitoring, documentation and governance practices
From the employer’s posting
Design data models (dimensional/star schemas) to support scalable reporting and self-serve analytics.
Design and model data across various cloud data warehouses (BigQuery/Snowflake/Databricks/Redshift)
Articulate, design and develop BI dashboards and custom reporting experiences using tools such as Looker Studio, Power BI and Tableau.
Lead requirements discovery and translate business questions into data/measurement solutions.
Establish data quality, monitoring, documentation, and governance practices.
About Monks
By connecting brand strategy, media, data, and emerging technology around the consumer, we build intelligent platforms and content ecosystems for the world's leading brands.
In the employer’s words · Read in context
Posting record
Report an errorActively 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
- 12
- 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
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
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
- BigQuery
- Databricks
- dbt
- Looker
- Power BI
- Prefect
- Redshift
- Snowflake
- Tableau
- Airflow
- Dagster
Where the posting names them
- 2+ years in client-facing delivery, consultancy or agency preferred. - Expert SQL skills, primarily in an ETL/ELT context; we are BigQuery first, but some Python is also favoured. - Strong dimensional modeling (star schemas), warehouse design, and metric/KPI definition for analytics use cases.
Monks is seeking an experienced client-facing Senior Data Engineer (Marketing & BI) to drive data and analytics delivery across marketing, audience, and e-commerce engagements for both small and large enterprise clients. This is a hands-on role that blends business and data responsibilities. Your time will be split approximately 70% on client delivery and 30% internal (capability building, reusable assets, innovation, growth, etc). You’ll be focused on SQL-based data modeling and analytics delivery, and you’ll run client workshops and stakeholder management, while also building out solutions in the broader BI space, executing technical implementations across a range of analytics and cloud data platforms. The ideal candidate has a history of working with modern data products (e.g. BigQuery, Snowflake, Databricks, Redshift), and a proven track record of experience with the modern data stack based on cloud technologies, including data transformation, orchestration, warehousing and modelling, as well as BI and dashboard design using tools like Looker Studio, Power BI or Tableau.
This is a hands-on role that blends business and data responsibilities. Your time will be split approximately 70% on client delivery and 30% internal (capability building, reusable assets, innovation, growth, etc). You’ll be focused on SQL-based data modeling and analytics delivery, and you’ll run client workshops and stakeholder management, while also building out solutions in the broader BI space, executing technical implementations across a range of analytics and cloud data platforms. The ideal candidate has a history of working with modern data products (e.g. BigQuery, Snowflake, Databricks, Redshift), and a proven track record of experience with the modern data stack based on cloud technologies, including data transformation, orchestration, warehousing and modelling, as well as BI and dashboard design using tools like Looker Studio, Power BI or Tableau. In this role, you’ll help clients shape data pathways, translate data into insights and needs-based recommendations, deploy and configure the right tools, and improve data reliability, speed to insight, and KPI consistency. Working in the broader Data capability at Monks, this position offers opportunities for growth within our wider APAC data team with clear channels of progression into more senior roles, the ability to participate in innovation on projects and product development, and the potential to advance the practice of analytics and data from the forefront.
- Design data models (dimensional/star schemas) to support scalable reporting and self-serve analytics. - Design and model data across various cloud data warehouses (BigQuery/Snowflake/Databricks/Redshift) from marketing, web/app, and e-commerce sources; exact platform varies by client. - Articulate, design and develop BI dashboards and custom reporting experiences using tools such as Looker Studio, Power BI and Tableau.
- Strong dimensional modeling (star schemas), warehouse design, and metric/KPI definition for analytics use cases. - Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift, etc). - Experience building BI dashboards (Looker Studio, Power BI, Tableau).
- Hands-on experience with mainstream analytics platforms and data collection approaches, including Google Marketing Platform tooling (GTM, GA4, etc). - Experience with transformation and orchestration tools including dbt, Airflow, Dagster or Prefect. - Familiarity with broader enterprise BI platforms such as Looker (LookML/custom visualisations) or Datorama.
- Design and model data across various cloud data warehouses (BigQuery/Snowflake/Databricks/Redshift) from marketing, web/app, and e-commerce sources; exact platform varies by client. - Articulate, design and develop BI dashboards and custom reporting experiences using tools such as Looker Studio, Power BI and Tableau. - Establish data quality, monitoring, documentation, and governance practices.
- Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift, etc). - Experience building BI dashboards (Looker Studio, Power BI, Tableau). - Comfortable collaborating and presenting cross-functionally to stakeholders; writing clear documentation.
- Experience with transformation and orchestration tools including dbt, Airflow, Dagster or Prefect. - Familiarity with broader enterprise BI platforms such as Looker (LookML/custom visualisations) or Datorama. - An understanding of the adtech/martech/data landscape; CRM & CDP familiarity is a strong plus.
Your next step
Complete your application on www.monks.com. The employer’s form will show what is required.
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Already applied? Track this application
Has Monks posted this job before?
Yes. We’ve followed one other Senior Data Engineer - Freelance job there since October 2026. It is still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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 Monks
Monks is a global, digital-first marketing, technology, and creative consultancy operating at the intersection of creativity, media, data, and culture. In APAC, our 700-strong team spans 14 offices across 11 countries, connected by a single, unified operating model.
As pioneers in the AI digital media economy, we live an AI-first culture internally while helping enterprise clients shift from manual workflows to AI-native orchestration — scaling custom agent solutions (Monks.Flow), AI-driven campaigns, and next-gen AI search capabilities. By connecting brand strategy, media, data, and emerging technology around the consumer, we build intelligent platforms and content ecosystems for the world's leading brands. We foster a diverse, equitable, and inclusive workplace where authentic collaboration fuels industry-changing work.
The Role
Monks is seeking an experienced client-facing Senior Data Engineer (Marketing & BI) to drive data and analytics delivery across marketing, audience, and e-commerce engagements for both small and large enterprise clients.
This is a hands-on role that blends business and data responsibilities. Your time will be split approximately 70% on client delivery and 30% internal (capability building, reusable assets, innovation, growth, etc). You’ll be focused on SQL-based data modeling and analytics delivery, and you’ll run client workshops and stakeholder management, while also building out solutions in the broader BI space, executing technical implementations across a range of analytics and cloud data platforms.
The ideal candidate has a history of working with modern data products (e.g. BigQuery, Snowflake, Databricks, Redshift), and a proven track record of experience with the modern data stack based on cloud technologies, including data transformation, orchestration, warehousing and modelling, as well as BI and dashboard design using tools like Looker Studio, Power BI or Tableau.
In this role, you’ll help clients shape data pathways, translate data into insights and needs-based recommendations, deploy and configure the right tools, and improve data reliability, speed to insight, and KPI consistency. Working in the broader Data capability at Monks, this position offers opportunities for growth within our wider APAC data team with clear channels of progression into more senior roles, the ability to participate in innovation on projects and product development, and the potential to advance the practice of analytics and data from the forefront.
What You'll Do
- Lead requirements discovery and translate business questions into data/measurement solutions.
- Design data models (dimensional/star schemas) to support scalable reporting and self-serve analytics.
- Design and model data across various cloud data warehouses (BigQuery/Snowflake/Databricks/Redshift) from marketing, web/app, and e-commerce sources; exact platform varies by client.
- Articulate, design and develop BI dashboards and custom reporting experiences using tools such as Looker Studio, Power BI and Tableau.
- Establish data quality, monitoring, documentation, and governance practices.
- Partner with analytics/measurement teams on tracking approaches (GA4/GTM) to ensure usable downstream data.
- Present insights and recommendations to senior stakeholders; influence roadmaps, estimation and prioritisation.
- Contribute reusable assets (templates, data patterns, dashboard standards) to the wider Monks APAC data capability.
What You'll Bring
- 4+ years in data engineering / analytics engineering / BI engineering.
- 2+ years in client-facing delivery, consultancy or agency preferred.
- Expert SQL skills, primarily in an ETL/ELT context; we are BigQuery first, but some Python is also favoured.
- Strong dimensional modeling (star schemas), warehouse design, and metric/KPI definition for analytics use cases.
- Experience with BigQuery and at least one other cloud data platform (Snowflake, Databricks, Redshift, etc).
- Experience building BI dashboards (Looker Studio, Power BI, Tableau).
- Comfortable collaborating and presenting cross-functionally to stakeholders; writing clear documentation.
- You are self-driven, proactive, resourceful, intellectually curious, and detail-oriented.
- Strong written and verbal communication skills.
Nice to Have
- Hands-on experience with mainstream analytics platforms and data collection approaches, including Google Marketing Platform tooling (GTM, GA4, etc).
- Experience with transformation and orchestration tools including dbt, Airflow, Dagster or Prefect.
- Familiarity with broader enterprise BI platforms such as Looker (LookML/custom visualisations) or Datorama.
- An understanding of the adtech/martech/data landscape; CRM & CDP familiarity is a strong plus.
- Experience executing technical projects and/or managing enterprise clients end-to-end from inception to delivery.
- Current professional certifications in the field of Data Engineering or Analytics.
#LI-CX1
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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