Data Engineer - DataOps

twentysix; Hilversum; On-site; EUR 112,000 - 130,000; Full time

Benefits offered by this job

Health insurance

PTO & holidays

401k with company contribution

Parental leave

Work-life balance

Career growth

Job summary

Monks is seeking a capable Data Engineer with a strong DataOps focus to join our team. You will embed at Monks, supporting a high-profile client account in Cupertino, CA, building, scaling and maintaining core data pipelines that deliver trusted data to Sales & Finance leadership.

The role requires 5+ years in data engineering or related field, expert SQL, and Python, with hands-on experience in Airflow, Spark, Trino/Dremio, Iceberg, Kafka, and Docker.

Qualifications

• 5+ years of Data Engineering experience (or Software Engineering with a strong data focus).
• Expert-level SQL required.
• Strong Python proficiency.
• Hands-on experience with Airflow, Spark, Trino/Dremio, Apache Iceberg, Kafka and Docker.
• DataOps & Lakehouse architectures familiarity and related tooling.
• Proven track record designing, deploying and maintaining ETL/ELT pipelines and data warehouses.
• Experience with Sales/Finance data domains (preferred).

Responsibilities

• Build and maintain scalable data pipelines from diverse data sources.
• Own workflow orchestration and monitor pipelines using Airflow.
• Contribute to reusable libraries and scalable coding patterns.
• Hardening and reliability improvements across shared pipelines.
• Implement automated data quality checks and observability tooling.
• Manage platform governance and query optimization, including migrations.
• Own incident response and change management for data domains.

Skills

Data Engineering

SQL

Python

Airflow

Spark

Trino/Dremio

Apache Iceberg

Kafka

Docker

Git

CI/CD

DataOps

Lakehouse

Tools

Airflow

Spark

Trino/Dremio

Apache Iceberg

Kafka

Docker

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).

Data Engineer

About the Role

We are seeking a capable, detail-minded Data Engineer with a strong DataOps focus to join our team. In this role, you will be embedded at Monks, serving as a critical delivery partner dedicated to supporting one of our most prestigious, high-profile global client accounts in Cupertino, CA.

You will build, scale, and maintain the core data pipelines that deliver trusted sell-through, actuals, and strategic business data to global Sales & Finance leadership. Beyond building your own pipelines, you will play a crucial role in hardening, monitoring, and troubleshooting the team's shared pipeline estate—ensuring high reliability, data quality, and platform performance across production. This is a contract role based out of Cupertino, CA, with a hybrid schedule requiring you to be on-site 3 days per week (Tuesday – Thursday).

About You

The Skills & Toolkit You’ll Bring:

5+ years of Data Engineering experience (or Software Engineering with a strong data focus) accompanied by expert-level SQL.

Core Tech Stack: Advanced proficiency in Python (Java or Scala is a plus), paired with hands‑on experience using Airflow, Spark, Trino/Dremio, Apache Iceberg, Kafka, and Docker.

DataOps & Lakehouse Expertise: Experience with lakehouse architectures, query engines, Apache Iceberg maintenance (compaction, snapshot management), and platform upgrade/migration workflows.

Production Pipeline Management: Proven track record designing, deploying, and maintaining custom ETL/ELT pipelines and enterprise data warehouse solutions using version control (Git) and CI/CD pipelines.

Data Domain Context: Prior experience working with Sales, Finance, or supply chain data domains (e.g., actuals, sell-through, forecasting) is highly preferred.

The Mindset We’re Looking For:

Root-Cause Investigator: You don't just apply quick patches—you independently troubleshoot shared production issues, trace anomalies back to their upstream source, and implement durable, long-term fixes.

Operational Discipline: You hold high standards for software lifecycle best practices, rigorous separation of dev and prod environments, careful change management, and comprehensive documentation.

Platform Ownership: You take pride in data quality and system reliability across the entire team's pipeline estate, not just the code you personally authored.

Autonomous & Adaptable: Comfortable stepping into ambiguous technical challenges, navigating complex data environments, and driving solutions to completion with minimal oversight.

The Day-to-Day (Your Impact)

Hands-On Data Engineering

Build & Enhance Pipelines: Develop and maintain efficient ingestion and transformation pipelines from diverse, variable-quality data sources into curated aggregation layers, virtual views, and incremental-refresh logic.

Workflow Orchestration: Own the code, business logic, and operational health (SLIs/SLOs) of your data products using Apache Airflow to orchestrate, schedule, and monitor workflows.

Reusable Architecture: Contribute to and leverage shared utility libraries, local validation practices, and scalable coding patterns across the data engineering team.

DataOps & Shared Platform Reliability

DAG Hardening & Resilience: Drive platform-wide reliability by improving preflight cleanup, downstream-refresh stability, table/storage optimization, and failure-alerting flows across shared pipelines.

Automated Data Quality & Observability: Design and deploy automated Data-Quality Checks (DQCs), custom monitoring pipelines, and troubleshooting tooling that the broader analytics team relies on.

Platform Governance: Manage asset lifecycles (retiring unused objects), remediate poorly performing queries, optimize materialized reflections, and support engine/orchestrator version migrations.

Incident Response & Change Management: Own production incident response for assigned domain areas, author clear structured change plans and Root Cause Analyses (RCAs), and maintain operational runbooks.

What We Offer

Benefits

• Excellent, full coverage medical, dental, and vision insurance
• Generous PTO and 15 company-wide holidays
• 401k with company contribution
• Paid parental leave
• Work-life balance with an emphasis on personal well-being
• Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
• A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
• Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!)

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

Salary Range: $130,000—$150,000 USD

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, 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, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, 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.