{"id":1347380,"url":"https://alion.io/job/omnicom-junior-data-engineer","title":"Junior Data Engineer","company":{"id":720301,"name":"Omnicom","domain":"omc.com","url":"https://alion.io/company/omnicom","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":55000,"max":65000,"currency":"USD","period":"year","gross":null,"usd_annual":65000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-28T11:12:16Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Agency:\nOmdJob Function:\nConsultingJob Subfunction:\nTechnology ConsultingJob Description:\nAbout the role\nThe Data Engineering team is responsible for building and maintaining robust data infrastructure and dashboarding solutions for OMD's highest profile clients. We work closely with analytics and strategy teams to ensure clean, reliable, useable data flows and compelling visualizations that drive business insights.\nWhat will you do\nAs a Junior Data Engineer, you will support the execution of our dashboarding roadmap and contribute to ongoing data operations. With guidance from Data Engineering senior stakeholders and MarSci teams, you will be responsible for:\nMarketing Data Engineering & Pipeline Development\nBuild, maintain, and optimize ETL/ELT workflows supporting marketing analytics and reporting.\nDevelop production-ready SQL transformations to clean, structure, and prepare marketing datasets.\nCreate reusable datasets and data models that support dashboards, reporting, experimentation, and advanced analytics.\nCollaborate with analytics and marketing science teams to translate business requirements into scalable data solutions.\nMarketing Cloud Intelligence (Datorama) Dashboard & Data Model Rebuild\nRedesign and optimize the underlying data model within Marketing Cloud Intelligence (Datorama).\nRebuild data views, datasets, and reporting structures to improve usability and scalability.\nImprove dashboard performance, data refresh processes, and reporting efficiency.\nIdentify opportunities to automate recurring reporting processes.\nSupport evaluation and potential migration of dashboards from Marketing Cloud Intelligence (Datorama) to Tableau.\nData Integration & Data Preparation\nExtract and integrate marketing data from multiple sources, including:\nMarketing Cloud Intelligence (Datorama)\nGoogle BigQuery\nVendor-provided CSV/Excel files\nThird-party marketing platforms through APIs\nBuild and maintain data ingestion processes to ensure timely and accurate data availability.\nClean, transform, and standardize data from multiple sources for analysis.\nData Quality & Documentation\nImplement data validation checks to identify data quality issues and inconsistencies.\nMonitor data accuracy and troubleshoot issues affecting reporting and analytics.\nMaintain data dictionaries, metric definitions, and documentation of data processes.\nEnsure consistency in business logic across reporting and analytical datasets.\nMarketing Analytics Enablement\nUnderstand the data requirements behind marketing measurement approaches, including:\nAttribution & Multi-Touch Attribution (MTA)\nMarketing Mix Modeling (MMM)\nIncrementality testing & Experimentation\nForecasting\nPartner with Marketing Science analysts and data scientists to support measurement, modeling, and optimization efforts.\nTechnical Skills & Experience\nStrong SQL skills and ability to write production-quality queries.\nExperience with data transformation and modeling.\nExperience working with cloud data warehouses (Google BigQuery preferred).\nFamiliarity with APIs and data integrations.\nExperience working with marketing analytics data sources is preferred.\nExperience with visualization platforms such as Tableau is an asset.\nUnderstanding of marketing measurement concepts and analytical methodologies.\nFamiliarity with Airflow\nWhat We Are Looking For\nExperience & Background: You have 2+ years of experience in data engineering or related technical roles. You have a strong foundation in data fundamentals and are eager to grow your skills. You are comfortable working in technical environments and have a track record of learning new tools quickly.\nTechnical Skills: You have hands-on experience with the skills outlined above. Proficiency in Excel is expected. You have familiarity with SQL, and basic understanding of data modelling concepts is a plus. You are comfortable working with APIs and databases.\nCommunication & Problem-Solving: You are a clear communicator, both written and verbal. While technical, you can also explain data concepts to non-technical colleagues. You are a detail-oriented problem solver who approaches challenges methodically, but also creatively if the opportunity arises. You take pride in the quality and accuracy of your work.\nMindset: You are curious and passionate about learning. You work collaboratively with others and are eager to contribute to team success. You are proactive, reliable, and committed to continuous improvement. You understand the importance of data integrity and best practices.\nThis is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.\nExpected Salary: $55,000 - $65,000\nOmnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities.\nIn addition, Omnicom Media provides rewarding offerings such as:\nGenerous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons year-round.\nA flexible hybrid work model that works for you.\nA focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone.\nA chance to be part of and grow within a global network of agencies.\nThe opportunity to contribute to our company culture by joining one of our many community-based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge.\nOmnicom is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to \n\nSalary range: $55,000 - $65,000\nOmnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.\nOmnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.\nLink to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/","description_format":"text","description_chars":7035,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Multimodal AI"],"lifecycle":[{"event":"open","at":"2026-09-27T17:17:21Z"}],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.87,"p_room":0.9,"age_days":7,"expected_fill_days":20,"reasons":["conf:3","velocity","win:mid","comp:junior,brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":65000,"is_top_pay":false},"html_url":"https://alion.io/job/omnicom-junior-data-engineer","json_url":"https://alion.io/job/omnicom-junior-data-engineer.json","meta":{"generated_at":"2026-09-28T23:14:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":812,"day_limit":5000,"remaining_today":4188,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}