{"id":1343403,"url":"https://alion.io/job/publicisgroupe-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FAISS","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-27T16:02:04Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-10-12T03:28:29Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Overview\nAbout Business Unit:\nAs part of the Digital Integration Services team, you’ll be at the forefront of modernizing marketing and delivering ground-breaking solutions. From crafting data-driven, personalized experiences that customers truly value to turning marketing visions into reality - we empower brands to achieve their goals.\nOur team of 1,200 experts in strategy, analytics, creative, and digital experience uses innovative technology and data-driven insights to craft relevant, customer-centric strategies for the world’s leading brands.\nOrganization Objective/Purpose:\nThis position is in the Engineering team under the Digital Experience organization. We drive the first mile of customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven individual. \nYou will be part of a team that is focused on building solutions and pipelines using latest engineering (data & AI/ML) design principles and tech stacks. You will also be expected to Identify, design, and implement improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automate continuous integration and deployment processes/pipelines.\nThe incumbent is also expected to partner with various stakeholders, bring scientific rigor to design and develop high quality software. \nShe / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, start-up environment within a larger company. \nRole Summary:\nWe are seeking an experienced Data Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and scalable AI/ML/Data solution design. The ideal candidate will be capable of building & architecting robust Gen AI solutions while engaging with stakeholders to shape AI strategy and adoption.\nThis role requires strong experience across data engineering, cloud platforms, and AI solution delivery - ensuring end-to-end integration from data foundation to deployed intelligent systems.\nClick here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.\nResponsibilities\nSolution Architecture & Design\nDesign and implement end-to-end Generative AI and LLM-based architectures, integrating with enterprise data and applications.\nDefine reference architectures, frameworks, and best practices for scalable AI driven applications.\nArchitect and operationalize RAG (Retrieval-Augmented Generation) and LLM-based workflows using cloud-native components (e.g., AWS Bedrock, SageMaker, Lambda, API Gateway).\nEnsure scalability, reliability, and governance across AI, data, and ML pipelines.\nHands-on Development\nDevelop, fine-tune, and deploy LLMs and custom AI models using frameworks like LangChain, LlamaIndex, and Hugging Face.\nBuild data ingestion and transformation pipelines integrating structured and unstructured data.\nUse SQL and Python for data wrangling, feature engineering, and analytics within AI workflows.\nImplement vector search and semantic retrieval with platforms such as Pinecone, FAISS, or Chroma.\nInnovation & Leadership\nStay ahead of with advancements in AI/ML frameworks, LLM technologies, and Gen AI ecosystems.\nEvaluate emerging tools, open-source models, and platforms for enterprise AI applications.\nMentor data scientists and engineers in building and scaling AI-powered systems.\nQualifications\nRequired Skills & Competencies\nProven expertise in Generative AI and LLM architectures (OpenAI, Anthropic, Azure OpenAI, Hugging Face, LangChain, LlamaIndex).\nStrong hands-on experience in Python, SQL, PySpark and data pipeline design (ETL/ELT, data orchestration, and transformation).\nSolid understanding of data management, governance, and integration patterns for AI systems.\nProficiency in AWS cloud services (SageMaker, Bedrock, Lambda, ECS, API Gateway, S3, Glue, Redshift).\nExperience building machine learning & deep learning models.\nExperience with vector databases and embedding pipelines for contextual retrieval.\nExcellent problem-solving and communication skills; ability to present technical concepts to non-technical audiences.\nPreferred Skills\nFamiliarity with enterprise data architectures, data lakes, and knowledge graphs.\nExperience with Databricks, AWS AI services, or cloud-native LLM hosting and orchestration.\nContributions to AI open-source projects or participation in technical communities.\nQualifications\nBachelor’s or Master’s degree in Computer Science or related field.\n5-8 years of total experience, including significant hands-on in Data Engineering solutions & exposure toGenerative AI solution development.\nExperience working on AdTech or MarTech technologies is added advantage\nStrong analytic thought process and ability to interpret findings\nIn addition, the candidate should have strong eye for business, and interpersonal and communication skills, yet also be able to work independently. He / she should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand.\nAdditional Information\nEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.\nEpsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.\nOur pillars aren't just words. They're how we show up every day.\nPeople centricity: We focus on employee well-being in an environment where colleagues truly care about each other.\nCollaboration: We work together, support one another, and collectively achieve goals.\nGrowth: There are endless opportunities for growth through learning, development and career advancement.\nInnovation: We drive progress through cutting-edge solutions and forward-thinking approaches.\nFlexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.\nOur values guide us to create value for our clients, our people and consumers.\nAct with integrity\nWork together to win together\nInnovate with purpose\nRespect all voices\nEmpower with accountability\nThese pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.\nEpsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.","description_format":"text","description_chars":7469,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T16:02:04Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.557,"p_room":0.35,"age_days":12,"expected_fill_days":5,"reasons":["conf:0","wave","velocity","win:tail","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/publicisgroupe-senior-data-engineer-2","json_url":"https://alion.io/job/publicisgroupe-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-12T06:35:29Z","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":10596,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":46462},"rest":"https://alion.io/mcp/rest/get_company?id=46462"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpublicisgroupe-senior-data-engineer-2"},{"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%2Fpublicisgroupe-senior-data-engineer-2"},{"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%2Fpublicisgroupe-senior-data-engineer-2"},{"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/publicisgroupe-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpublicisgroupe-senior-data-engineer-2"}]}