{"id":2366112,"url":"https://alion.io/job/monks-semi-senior-data-engineer","title":"Semi Senior Data Engineer","company":{"id":635,"name":"Monks","domain":"monks.com","url":"https://alion.io/company/monks","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":66,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":89000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"AI Agents","optional":true},{"name":"Amazon S3","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-07T20:00:01Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-13T13:30:51Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"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).\nAbout us\nMonks is a digital-first marketing and advertising services company connecting the dots across content, data & digital media and technology services. Inspired by the connectivity and flexibility of technology APIs, Monks’ single-P&L model offers brands seamless access to a nearly 6,000-strong team of digital talent organized across 57 talent hubs in 33 countries. \nWith us, you'll find a diverse group of colleagues with different backgrounds and perspectives. We believe everyone has something of value to offer, and that sustaining a truly diverse, equitable and inclusive workplace begins with fostering an environment where people can be themselves, authentically, every day. We want to build something with the potential to change the heart of our industry, and we’d love to include your unique perspective.\nAbout the role\nThe Semi Senior Data Engineer will help design, build, and evolve scalable data solutions for digital marketing and advertising use cases. Working closely with our Analytics and Solutions Engineering teams, you will be responsible for end-to-end data engineering activities-from data discovery and ingestion to transformation, orchestration, and deployment-supporting reporting, measurement, and analytics use cases.\nThis role is centered on developing robust data pipelines and analytics-ready data models across multiple platforms (DSPs, ad servers, and third-party sources). You will also contribute to client project phases, including requirements clarification, task planning and estimation, and solution recommendations.\nIn addition, the role involves ensuring data quality, reconciliation across heterogeneous datasets, and supporting measurement workflows such as cross-platform metric allocation and incrementality/attribution reporting.\nTools\nWe are looking for someone experienced with (or familiar with) the following tools and technologies:\nStrong programming skills in SQL, Python, or other programming languages\nExperience with SQL and NoSQL databases\nCloud platforms such as Databricks, AWS, Azure, or Google Cloud Platform\nStrong knowledge of cloud infrastructure, e.g. on GCP: BigQuery, Cloud Storage, Cloud Run Jobs, Cloud Monitoring, Dataflow, BigQuery Data Transfer Service, Storage Transfer Service\nData modeling and transformation tools, such as dbt (including for BigQuery)\n Terraform (infrastructure as code)\nGitHub and GitHub Actions (CI/CD processes)\nLooker and LookML is a plus\nJavaScript knowledge is a plus\nKnowledge of media reporting UIs / APIs (e.g., DV360, SA360, Meta) is a plus\nWhat we’re looking for\nA Bachelor’s or Master’s degree in informative engineering, computer science, applied mathematics, engineering, or a related quantitative field-or equivalent work experience.\n2-3 years of experience with any combination of analytics, marketing analytics, and analytical techniques for marketing, customer, and business applications.\nHands-on experience with SQL and Python, along with experience using cloud products.\nHands-on experience developing data pipelines using common ETL/ELT tools andbuilding data architecture patterns.\nFamiliarity with Agile methodologies and applying DataOps practices to build and deliver pipelines reliably.\nExperience working with media/advertising data is a plus\nDemonstrated ability to operate effectively independently and within a team\nResponsibilities\n Design, build, and maintain dbt models that integrate marketing and advertising data across DSPs, ad servers, and third-party platforms-reconciling differences in granularity (e.g., placement-level vs. creative-level metrics) and resolving join-key quality issues.\nDevelop and maintain business logic for cross-platform metric allocation (e.g., distributing spend and impressions across creatives) to support monthly reporting and incrementality/attribution use cases.\nBuild and maintain ingestion pipelines from diverse external sources, including cloud-to-cloud transfers (e.g., AWS S3 → GCS), Azure/SFTP drops, and vendor APIs, ensuring deduplication and data quality.\nOwn and evolve GCP cloud infrastructure using Terraform, following established modular patterns and naming conventions; partner with platform teams on environment and deployment standards.\nLead the migration of legacy ingestion patterns (e.g., BigQuery Data Transfers) to scalable, maintainable solutions built on Dataflow and Cloud Run.\nConfigure and maintain observability and alerting across the stack (e.g., dbt source freshness, Cloud Run job failures, BigQuery Data Transfer issues) using Cloud Monitoring, deployed via Terraform.\nManage the release lifecycle across QA, STG, and PROD environments, including branching strategy, scheduled releases, and automated release-note generation via GitHub Actions.\nProduce and maintain high-quality technical documentation, runbooks, and design artifacts; review and curate client-facing release communications.\nCollaborate with analytics, measurement, and client-facing teams to translate reporting and measurement requirements into reliable data products.\n#LI-Hybrid #LI-VG1#LI-AS1 #ID: 12409\nAbout Monks\nMonks 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.\nThis 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.\nWe 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.","description_format":"text","description_chars":7584,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Creative Agencies","Branding","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-12T16:39:02Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.19,"p_room":0.28,"age_days":66,"expected_fill_days":11,"reasons":["conf:2","stale_co","win:tail","crowd:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/monks-semi-senior-data-engineer","json_url":"https://alion.io/job/monks-semi-senior-data-engineer.json","meta":{"generated_at":"2026-10-13T17:00:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25888,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":635},"rest":"https://alion.io/mcp/rest/get_company?id=635"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmonks-semi-senior-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmonks-semi-senior-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmonks-semi-senior-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/monks-semi-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmonks-semi-senior-data-engineer"}]}