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Job Description We re seeking a Senior Data Engineer to design, build, and modernize enterprise-scale data platforms across cloud environments. You will work across data ingestion, lakehouse architectures, orchestration, governance, APIs, and modernization initiatives, helping clients transform fragmented and legacy data ecosystems into scalable, cloud-native platforms. This role combines hands-on software and data engineering with technical design leadership. Work is hands-on and design-oriented in equal measure , requiring you to contribute directly to implementation while also owning critical technical decisions, architecture designs, and engineering standards. As enterprise platforms increasingly enable intelligent products and services, you will also build data services and platform capabilities that incorporate AI and LLM-based solutions where they provide measurable business value. Qualifications Skills & Experience 6+ years of experience in Data Engineering, Data Platform Engineering, or related fields with ownership of production systems. Advanced Python and SQL development experience in enterprise environments. Strong hands-on experience with Spark or PySpark for large-scale distributed data processing. Deep expertise in AWS or Azure and practical experience working within a second cloud ecosystem. Strong data modeling capabilities including Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD Type 2), Medallion Architecture, and Lakehouse patterns. Experience designing and implementing CI/CD pipelines, automated testing, and deployment practices for data platforms and services. Strong relational database engineering and schema design experience. Experience building production-grade data services, APIs, or backend components. Proven experience designing, integrating, or operating AI and LLM-enabled solutions in enterprise environments. Proven ability to author, communicate, and defend technical designs with engineering stakeholders. Demonstrated ability to balance solution design responsibilities with hands-on implementation and delivery ownership. Set Yourself Apart With Experience building AI-enabled data products using LLM APIs, Retrieval-Augmented Generation (RAG), embeddings, semantic search, or vector databases. Experience developing backend services and APIs using FastAPI or similar frameworks. Experience working with regulated data domains requiring compliance, privacy, governance, and auditability controls. Familiarity with metadata management, cataloging, lineage, and enterprise data governance tooling. Experience supporting large-scale cloud modernization and migration initiatives. Experience operating and delivering solutions across both AWS and Azure environments. Knowledge of MLOps, model evaluation frameworks, and AI observability practices. Additional Information An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com
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.