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Level: Associate (L3) Role: Data Engineering Associate MSO Ops MIO OVERVIEW The Marketing Science Operations (MSO) vertical at Amgen is the operational backbone that ensures accurate, timely, governed, and analytics ready marketing data across all digital channels. MSO enables the MIO (Marketing Investment & Optimization), and broader Decision Sciences teams to run self-service analytics, generate insights, and execute campaigns reliably. MSO focuses on data readiness, governance, pipeline operations, vendor accountability, and automation with the goal of delivering clean, standardized, and insight-ready datasets. Role Summary The Associate Data Engineering role is an entrylevel engineering position within the Marketing Science Operations (MSO) Data Engineering team. This role is ideal for candidates who are excited to build foundations in data pipelines, data quality, and scalable data products that power analytics and reporting. The team will provide structured learning and onthejob exposure. What matters most is curiosity, critical thinking, and a strong learning mindset. LIVE | WHAT YOU WILL DO As an MSO Data Engineering Associate, you will work under the guidance of Senior Associates and Managers to support data ingestion, transformation, and operational reliability. You will: Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasetsAssist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analyticsreadyHelp monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidenceSupport development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consumeContribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffsCollaborate with crossfunctional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependableParticipate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery disciplineAnalyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications. BASIC QUALIFICATIONS Bachelors (3 to 6 Yrs) or Masters (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical fieldExperience in data engineering, software engineering, analytics engineering, or data/tech roleFamiliarity with data concepts (tables, schemas, joins, basic transformations)Proficiency in SQL and data analysis and structured dataStrong problemsolving and analytical reasoning skillsEffective written and verbal communication skillsStrong learning mindset and willingness to work with new tools, datasets, and business contexts Preferred Qualifications Exposure to Python programming for automationExposure to cloud/data tools such as Databricks, Spark/PySpark, Azure/AWS, ADF/AirflowExperience with ETL/ELT pipelines, batch processing, or orchestration conceptsFamiliarity with data quality checks, profiling, data governance, logging, monitoring, or incident triage practicesExposure to DevSecOps practice .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.